Publications

Kulasingham, J. P., Innes-Brown, H., Enqvist, M., & Alickovic, E. (2024). Level dependent subcortical EEG responses to continuous speech. eNeuro. https://doi.org/10.1523/eneuro.0135-24.2024

Borges, H. B., Zaar, J., Alickovic, E., Christensen, C. B., & Kidmose, P. (2024). Speech-reception-threshold estimation via EEG-based continuous speech envelope reconstruction. bioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2024.06.26.600765

Christensen, J. H., Rumley, J., Gil-Carvajal, J. C., Whiston, H., Lough, M., & Saunders, G. H. (2024). Predicting individual Hearing-Aid preference from Self-Reported listening experiences in daily life. Ear And Hearing. https://doi.org/10.1097/aud.0000000000001520

Tanveer, M. A., Skoglund, M. A., Bernhardsson, B., & Alickovic, E. (2024). Deep learning-based auditory attention decoding in listeners with hearing impairment. Journal of Neural Engineering, 21(3). https://doi.org/10.1088/1741-2552/ad49d7

Bachmann, F.L., Kulasingham, J.P., Eskelund, K., Enqvist, M., Alickovic, E., Innes-Brown, H. (2024). Extending Subcortical EEG Responses to Continuous Speech to the Sound-Field. Trends in Hearing, 28. doi:10.1177/23312165241246596

Leer, P., Jensen, J., Tan, Z., Østergaard, J., & Bramsløw, L. (2024). How to train your ears: Auditory-model emulation for large-dynamic-range inputs and mild-to-severe hearing losses. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32, 2006-2020.  https://doi.org/10.1109/taslp.2024.3378099

Wilroth, J., Alickovic, E., Skoglund, M. A. & Enqvist, M. (2024). Nonlinearity Detection and Compensation for EEG-Based Speech Tracking. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Republic of Korea, 1811-1815. doi: 10.1109/ICASSP48485.2024.10448090.

Regev, J., Relaño-Iborra, H., Zaar, J., & Dau, T. (2024). Disentangling the effects of hearing loss and age on amplitude modulation frequency selectivity. The Journal of the Acoustical Society of America, 155 (4), 2589–2602. https://doi.org/10.1121/10.0025541

Christensen, J. H., Whiston, H., Lough, M., Gil-Carvajal, J. C., Rumley, J., & Saunders, G. H. (2024). Evaluating Real-World Benefits of hearing aids with deep neural Network–Based noise Reduction: An Ecological Momentary Assessment study. American Journal of Audiology, 33(1), 242-253. https://doi.org/10.1044/2023_aja-23-00149

Kulasingham, J. P., Bachmann, F. L., Eskelund, K., Enqvist, M., Innes‐Brown, H., & Aličković, E. (2024). Predictors for estimating subcortical EEG responses to continuous speech. PLOS ONE, 19 (2). https://doi.org/10.1371/journal.pone.0297826

Bramsløw L. (2024, January 11-12). An auditory loudness model with hearing loss [Conference poster]. 15th Speech in Noise Workshop, SPIN2024, Potsdam, Germany. https://doi.org/10.5281/zenodo.10473561

Zaar, J., Simonsen, L. B., & Laugesen, S. (2024). A spectro-temporal modulation test for predicting speech reception in hearing-impaired listeners with hearing aids. Hearing Research, 443. https://doi.org/10.1016/j.heares.2024.108949

Schulte, A., Marozeau, J., Ruhe, A., Buechner, A., Kral, A., & Innes‐Brown, H. (2023). Improved speech intelligibility in the presence of congruent vibrotactile speech input. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-48893-w

Wilroth, J., Bernhardsson, B., Heskebeck, F., Skoglund, M., Bergeling, C., & Alickovic, E. (2023). Improving EEG-based decoding of the locus of auditory attention through domain adaptation. Journal of Neural Engineering, 20(6). https://doi.org/10.1088/1741-2552/ad0e7b

Nielsen, C. (2023). Technological advances in hearing aids and their significance for people with hearing loss during a period of more than 100 years. ENT & Audiology News, 32(5), 36-37.

Kullberg, A., Skoglund, M. A., Skog, I., & Hendeby, G. (2023). On the Relationship Between Iterated Statistical Linearization and Quasi–Newton Methods. IEEE Signal Processing Letters, 30, 1777–1781. https://doi.org/10.1109/lsp.2023.3336559

Andersson, K. E., Neher, T., & Christensen, J. H. (2023). Ecological momentary assessments of real-world speech listening are associated with heart rate and acoustic condition. Frontiers in Audiology and Otology, 1. https://doi.org/10.3389/fauot.2023.1275210

Fiedler, L., Johnsrude, I. S., & Wendt, D. (2023). Salience-dependent disruption of sustained auditory attention can be inferred from evoked pupil responses and neural tracking of task-irrelevant sounds. bioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2023.10.30.564684

Drgas, S., Bramsløw, L., Politis, A., Naithani, G., & Virtanen, T. (2023). Dynamic processing neural network architecture for hearing loss compensation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32, 203–214. https://doi.org/10.1109/taslp.2023.3328285

Zaar, J., Ihly, P., Nishiyama, T., Laugesen, S., Santurette, S., Tanaka, C., Jones, G. L., Vatti, M., Suzuki, D., Kitama, T., Ogawa, K., Tchorz, J., Shinden, S., & Jürgens, T. (2023). Predicting speech-in-noise reception in hearing-impaired listeners with hearing aids using the Audible Contrast Threshold (ACTTM) test. PsyArXiv. https://doi.org/10.31234/osf.io/m9khu

Alfandari, D., Richter, M. M., Wendt, D., Fiedler, L., & Naylor, G. (2023). Previous mental load and incentives influence anticipatory arousal as indexed by the baseline pupil diameter in a Speech-in-Noise task. Trends in Hearing, 27. https://doi.org/10.1177/23312165231196520

Zaar, J., Simonsen, L. B., Sánchez-López, R., & Laugesen, S. (2023). The Audible Contrast Threshold (ACTTM) test: a clinical spectro-temporal modulation detection test. medRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2023.10.12.23296977

Sun, K. K., Szatmari, T., Pasta, A., Bramsløw, L., Wendt, D., Christensen, J. H., & Pontoppidan, N. H. (2023). Daily sound exposure of hearing aids users during COVID-19 pandemic in Europe. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1091706

Bramsløw, L. (2023, September 20). Real Benefits in Real Life: Developing and Testing State-of-the-Art Relevant Signal Processing in Hearing Aids [Conference presentation]. The 26th International Conference on Signal Processing Algorithms, Architectures, Arrangements, and Applications (SPA), Poznan, Poland.

Pontoppidan, N. H., Sørensen, A. J., Havtorn, L., Sun, K., Szatmari, T., & Shola, C. (2023). Learning hearing aid preferences from key complex listening situations in everyday life. Proceedings of the 10th convention of the European Acoustics Association Forum Acusticum, Torino, Italy, 2403-2405.

Relaño-Iborra, H., Zaar, J., & Dau, T. (2023). Evaluating an Auditory Model as Predictor of Speech Understanding in Hearing-Impaired Listeners. Proceedings of the 10th convention of the European Acoustics Association, Forum Acusticum, Torino, Italy, 861-864. https://doi.org/10.61782/fa.2023.0130

Zaar, J., & Carney, L. H. (2023). Predicting supra-threshold speech processing deficits in hearing-impaired listeners using a physiologically inspired auditory model. Proceedings of the 10th conventions of the European Acoustics Association, Forum Acusticum, Torino, Italy, 869-872. https://doi.org/10.61782/fa.2023.0205

Jürgens, T., Ihly, P., Tchorz, J., Zaar, J., Laugesen, S., Jones, G. L., & Santurette, S. (2023). Prediction of individual speech intelligibility benefit due to noise reduction in hearing aids. Proceedings of the 10th convention of the European Acoustics Association, Forum Acusticum, Torino, Italy, 1205-1208. https://doi.org/10.61782/fa.2023.0451

Mesiano, P., Zaar, J., Relaño-Iborra, H., Bramsløw, L., & Dau, T. (2023). Effects of The Auditory Environment on The Fundamental-Frequency Dynamics of Speech. Proceedings of the 10th convention of the European Acoustics Association, Forum Acusticum, Torino, Italy, 2801-2803. https://doi.org/10.61782/fa.2023.0295

Mesiano, P., Zaar, J., Relaño-Iborra, H., Bramsløw, L., & Dau, T. (2023). Effects of Fundamental-Frequency Dynamics on Sentence Intelligibility in Competing-Talker Scenarios. Proceedings of the 10th convention of the European Acoustics Association, Forum Acusticum, Torino, Italy. 3393-3395. https://doi.org/10.61782/fa.2023.0149

Aliakbaryhosseinabadi, S., Keidser, G., Dau, T., Wendt, D., May, T., & Rotger Griful, S. (2023, August 23-25). Changes in physiological response outcomes by manipulation of background noise and hearing level​ [Conference poster]. 9th International Symposium on Auditory and Audiological Research (ISAAR), Nyborg Strand, DK.

Aliakbaryhosseinabadi, S., Castro-Ilundian, P., Keidser, G., Rotger Griful, S., & Wendt, D. (2023, August 23-25). Investigating cognitive load during speaking and listening phases of interactive conversations [Conference poster]. 9th International Symposium on Auditory and Audiological Research (ISAAR), Nyborg Strand, DK.

Kressner, A. A., Rico, K. M. J., Kizach, J., Man, B. K., Pedersen, A. K., Bramsløw, L., Nielsen, J. B., Hansen, L. B., Kirkwood, B. & May, T. (2023, August 23-25). The Danish Sentence Test (Dast) Project: An Audio And Audio-Visual Corpus Of Sentences, Monologues, And Dialogues And Its Associated Speech-In-Noise Tests [Conference poster]. 9th International Symposium on Auditory and Audiological Research (ISAAR), Nyborg Strand, DK.

Keding, O., Aličković, E., Skoglund, M. A., & Sandsten, M. (2023). Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment. Proceedings of the ISCA INTERSPEECH conference in Dublin, Ireland, 5162-5166. https://doi.org/10.21437/interspeech.2023-633

Wilroth, J., Kulasingham, J. P., Skoglund, M. A., & Aličković, E. (2023). Direct estimation of linear filters for EEG Source-Localization in a Competing-Talker scenario. IFAC PapersOnLine, 56(2), 6510-6517. https://doi.org/10.1016/j.ifacol.2023.10.298

Aličković, E., Dorszewski, T., Christiansen, T. U., Eskelund, K., Gizzi, L., Skoglund, M. A., & Wendt, D. (2023). Predicting EEG Responses to Attended Speech via Deep Neural Networks for Speech. 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 1-4. https://doi.org/10.1109/embc40787.2023.10340027

Mesiano, P., Zaar, J., Bramsløw, L., Relaño-Iborra, H., & Dau, T. (2023). The role of average fundamental frequency difference on the intelligibility of Real-Life competing sentences. Journal of Speech Language and Hearing Research, 66(7), 2521–2534. https://doi.org/10.1044/2023_jslhr-22-00219

Schulte, A. (2023, July 12). Tactile stimulation enhances auditory speech perception in normal-hearing and cochlear-implanted listeners [Conference presentation]. Conference on Implantable Auditory Protheses (CIAP), Tahoe City, CA, United States.

Carta, S., Aličković, E., Zaar, J., Valdes, A. L., & Di Liberto, G. M. (2023). Cortical over-representation of phonetic onsets of ignored speech in hearing impaired individuals. bioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2023.06.26.546549

Jensen, M., Alanis, J. C. G., Hüttenrauch, E., Winther-Jensen, M., Chavanon, M., Andersson, G., & Weise, C. (2023). Does it matter what is trained? A randomized controlled trial evaluating the specificity of alpha/delta ratio neurofeedback in reducing tinnitus symptoms. Brain Communications, 5 . https://doi.org/10.1093/braincomms/fcad185

Aličković, E., Mendoza, C. F., Segar, A., Sandsten, M., & Skoglund, M. A. (2023). Decoding Auditory Attention From EEG Data Using Cepstral Analysis. International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece, 1-5. https://doi.org/10.1109/icasspw59220.2023.10193192

Michelsanti, D., Tan, Z., Rotger-Griful, S., & Jensen, J. (2023). A Vision-Assisted Hearing Aid System Based on Deep Learning. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). https://doi.org/10.1109/icasspw59220.2023.10193370

Rotger-Griful, S. (2023, June 1). Sensors enabling intent-controlled hearing aids [Conference presentation]. International Hearing Instrument Developers Forum, Oldenburg, DE.

Regev, J., Zaar, J., Relaño-Iborra, H., & Dau, T. (2023). Age-related reduction of amplitude modulation frequency selectivity. Journal of the Acoustical Society of America, 153(4), 2298-2311. https://doi.org/10.1121/10.0017835

Richter, M. M., Buhiyan, T., Bramsløw, L., Innes‐Brown, H., Fiedler, L., Hadley, L. V., Naylor, G., Saunders, G. H., Wendt, D., Whitmer, W. M., Zekveld, A. A., & Kramer, S. E. (2023). Combining multiple psychophysiological measures of listening effort: challenges and recommendations. Seminars in Hearing, 44(2), 95-105. https://doi.org/10.1055/s-0043-1767669

Książek, P., Zekveld, A. A., Fiedler, L., Kramer, S. E., & Wendt, D. (2023). Time-specific components of pupil responses reveal alternations in effort allocation caused by memory task demands during speech identification in noise. Trends in Hearing, 27. https://doi.org/10.1177/23312165231153280

Rotger-Griful, S. (2023, March 14). Audiological Applications of Ear-EEG [Online presentation]. Danish Sound Cluster Webinar. https://youtu.be/8uvsVNWbsHE?feature=shared

Aliakbaryhosseinabadi, S., Keidser, G., May, T., Dau, T., Skoglund, M. A., & Rotger Griful, S. (2023). Measuring communication difficulty with eye-gaze behavior when speaking and listening. 49. Jahrestagung für Akustik, Hamburg, Germany,912-915.

Keidser, G., With, S. B., Neher, T., & Rotger-Griful, S. (2023). Do visual cues aid comprehension of a dialogue? The Hearing Journal, 76(03), 22-24. https://doi.org/10.1097/01.hj.0000922292.15379.9d

Christensen, J. H. (2023, March 2-4). Using data logging, ecological momentary assessment (EMA) and questionnaires to predict hearing aid preference [Conference poster]. 50th Annual Scientific and Technology Conference of the American Auditory Society (AAS), Scottsdale, AZ, United States.

Neagu, M., Kressner, A. A., Relaño-Iborra, H., Bækgaard, P., Dau, T., & Wendt, D. (2023). Investigating the reliability of pupillometry as a measure of individualized listening effort. Trends in Hearing, 27. https://doi.org/10.1177/23312165231153288

Sørensen, A., J., M. (2023, January 31). Preferences for levels of brightness and noise reduction in hearing aids in the real world [Online presentation]. Danish Sound Cluster Webinar. https://youtu.be/RshH6yANNiI?feature=shared

Shiell, M. M., Høy-Christensen, J., Skoglund, M. A., Keidser, G., Zaar, J., & Rotger-Griful, S. (2023). Multilevel modeling of gaze from listeners with hearing loss following a realistic conversation. Journal of Speech Language and Hearing Research, 66(11), 4575–4589. https://doi.org/10.1044/2023_jslhr-22-00641

Aliakbaryhosseinabadi, S., Keidser, G., May, T., Dau, T., Wendt, D., & Rotger-Griful, S. (2023). The effects of noise and simulated conductive hearing loss on physiological response measures during interactive conversations. Journal of Speech Language and Hearing Research, 66(10), 4009–4024. https://doi.org/10.1044/2023_jslhr-23-00063

Dudarewicz, A., Pawlaczyk-Łuszczyńska, M., Zaborowski, K., Pontoppidan, N. H., Wolniakowska, A., Bramsløw, L., Christensen, J. H., Katrakazas, P., Brdarić, D., Samardžić, S., & Śliwińska-Kowalska, M. (2023). The adaptation of noise-induced temporary hearing threshold shift predictive models for modelling the public health policy. International Journal of Occupational Medicine and Environmental Health, 36(1), 125–138. https://doi.org/10.13075/ijomeh.1896.01681

Eriksholm Research Centre Annual Report and Academic Relations 2023.

Zaar, J., Simonsen, L. B., Dau, T., & Laugesen, S. (2023). Toward a clinically viable spectro-temporal modulation test for predicting supra-threshold speech reception in hearing-impaired listeners. Hearing Research, 427. https://doi.org/10.1016/j.heares.2022.108650

Andersson, K. E., Skipper, R. S., Christensen, J. H., Neher, T. (2022). Exploring daily-life listening experience: Associations between acoustic factors, heart rate, and self-reported outcomes [Poster]. Journal of Hearing Science.

Bliddal, H., Christensen, C. B., Møller, C., Vuust, P., Kidmose, P. (2022).Neural entrainment of meter perception in ear-EEG.

Carta, S., Liberto, G. D., Valdes, A. L., Aličković, E., Zaar, J. (2022). Investigating the impact of hearing-aid processing strategies on hierarchical speech processing [Conference poster]. 6th International Conference on Cognitive Hearing Science for Communication(CHSCOM).

Hosseinabadi, S. A., Keidser, G., Dau, T., Rotger-Griful, S. (2022, June 12-15). Speech, behavioral and physiological response mesures to concider for a new outcome measure on real-life communication difficulty [Conference poster]. 6th International Conference on Cognitive Hearing Science for Communication(CHSCOM), Linkoping,Sweden.

Ihly, P., Santurette, S., Laugesen, S., Zaar, J., Jones, G., Behrens, T., Tchorz, J., Jürgens, T. (2022).Adaptive Noise Reduction Preferences of Bilateral Hearing Aid Users in Different Daily-Life Acoustic Situations [Conference poster].IHCON.

Iborra, H. R., Zaar, J., Dau, T. (2022).Predicting aided and unaided speech intelligibility of hearing-impaired listeners using an auditory model [Conference poster]. ARO.

Jürgens, T., Ihly, P., Tchorz, J., Santurette, S., Zaar, J., Laugesen, S., Jones, G., Behrens, T. (2022). Comparing Speech Intelligibility Improve-ments in Noise with Technical SNR-Improvements of Hearing Aids in a Complex Listening Scenario [Conference poster]. IHCON.

Bramsløw, L., Naithani, G., Virtanen, T. (2022). Deep Neural Networks for speech enhancement in noise [Conference poster]. Speech in Noise (SPIN).

Laugesen, S., Lopez, R. S., Simonsen, L. B., Ihly, P., Jürgens, T., Zaar, J. (2022). Introducing the Audible Contrast Thresh-old Test – a Clinically Viable Measure of Spectro-Temporal Modulation Sensitivity [Conference poster]. IHCON.

Lopez, R. S., Zaar, J., Laugesen, S. (2022). Multi-Dimensional Evaluation of User-Op-erated Audible Contrast Threshold (UACT) Tests by a Diverse Group of Participants [Conference poster]. IHCON.

Neagu,M.B., Kressner, A. A., Relaño-Iborra, H., Bækgaard, P., Dau, T., Wendt, D. (2022). Towards a better understanding of the sensitivity of the pupil response during speech perception and its relationship with perceptual effort.

Regev, J., Zaar, J., Iborra, H. R., Dau, T. (2022). Effects of age and hearing impairment on amplitude modulation frequency selectivity [Conference poster]. ARO.

Rotger-Griful, S., Shiell, M. M., Skoglund, M. A., Keidser, G., Zaar, J. (2022). Eye-Gaze Behaviour of Hearing-Impaired Listeners in Conversational Turn-Taking [Conference poster]. IHCON.

Sun, K., Szatmari, T. I., Havtorn, L., Pontoppidan, N. H. (2022). Learning Hearing Aid User’s Contextual Preference via Ecological Momentary Assessment in Real Life [Conference poster]. IHCON.

Szatmari, T. I., Pasta, A., Sun, K., Christensen, J. H., Pontoppidan, N. H. (2022). Machine Learning Framework Predicts Audio Settings in Real-World Environments [Conference poster].SPIN.

Sun, K., Pontoppidan, N. H., Bramsløw, L., Wendt, D. (2022). Noise Reduction Affects Speech Intelligibility at Different degrees: A Comparison between Audio-Only and Audiovisual Stimuli [Conference poster]. IHCON.

Szatmari, T. I., Pasta, A., Sun, K., Christensen, J. H., Pontoppidan, N. H. (2022). Predicted Selection of Listening Programs Based on Sound Exposure [Conference poster]. IHCON.

Regev, J., Zaar, J., Iborra, H. R., Dau, T. (2022). Amplitude modulation frequency selectivity in young and older listeners with and without hearing impairment [Conference poster]. CHSCOM.

Bramsløw, L., Naithani. G., Virtanen, T. (2022). DNN for voice and noise separation for HI listeners [Conference poster].IHCON.

Bramsløw, L., Naithani, G., Virtanen, T. (2022). Deep neural networks for speaker separation and noise reduction for hearing impaired listeners [Conference presentation]. Euroregio/Baltic Nordic-Acoustic Meetings (BNAM2022).

Christensen, J. H. (2022). Distinct influence of everyday noise on cardiovascular stress [Conference presentation]. INTERNOISE.

Christensen, J. H. (2022). Hearing aid users’ heart rate and wear time patterns depend on the sound environments they encounter [Conference presentation]. Nordic Audiological Society (NAS).

Fiedler, L. (2022).Physiological measures of saliency-dependent disruption of sustained auditory attention [Conference presentation]. CHSCOM.

Innes-Brown, H. (2022). Cognitive Hearing Aids: Neurofeedback Control, Listening Effort Reduction and Memory Improvement [Conference presentation]. Nordic Audiological Society (NAS).

Książek, P. (2022). Time-specific components of pupil responses and their sensitivity to acoustic and memory task demands during speech identification in noise [Conference presentation]. CHSCOM.

Pontoppidan, N. H. (2022). Cochlear Implants & Privacy including synthesized data from models of real users [Conference presentation]. Future Sound Forum.

Pontoppidan, N. H. (2022). Insights from data-driven hearing healthcare with smart hearing aids in Horizon 2020 project EVOTION [Conference presentation]. World Congress of International Federation of hard of hearing.

Pontoppidan, N. H. (2022). Noise exposure form leisure noise compared to other noise sources [Conference presentation]. Music and Hearing Health Workshop.

Rotger-Griful, S. (2022). Comparing In-Ear EOG for Eye-Movement Estimation with Eye-Tracking: Accuracy, Calibration, and Speech Comprehension [Conference presentation]. IHCON.

Skoglund, M. (2022). Comparing In-Ear EOG for Eye-Movement Estimation with Eye-Tracking: Accuracy, Calibration, and Speech Comprehension [Conference presentation]. FUSION.

Skoglund, M. (2022). Comparing In-Ear EOG for Eye-Movement Estimation with Eye-Tracking: Accuracy, Calibration, and Speech Comprehension [Conference presentation]. Swedish Control Meeting.

Sun, K. (2022). User behaviour modifies the effect of noise reduction scheme on speech intelligibility [Conference presentation]. 24th International Congress on Acoustics (ICA 2022).

Sun, K. (2022). Perception of Virtual Reality Based Audiovisual Paradigm for People with Hearing Impairment [Conference presentation]. Euroregio/Baltic Nordic-Acoustic Meetings (BNAM2022).

Bramsløw, L., Naithani, G., Virtanen. T. (2022). Deep Neural Networks for speech enhancement in noise [Conference proceedings]. Speech in Noise (SPIN).

Christensen, J. H., Andersson, K. E., & Neher, T. (2022). Distinct influence of everyday noise on cardiovascular stress.  NOISE-CON Proceedings, 265(7), 242–247. https://doi.org/10.3397/in_2022_0038

Sjanic, Z., & Skoglund, M. A. (2022). Exploitation of the conditionally linear structure in Visual-Inertial Estimation. 2022 25th International Conference on Information Fusion (FUSION).  https://doi.org/10.23919/fusion49751.2022.9841229

Sun, K., Pontoppidan, N. H., Wendt, D., Bramsløw, L. (2022). Perception of Virtual Reality Based Audiovisual Paradigm for People with Hearing Impairment [Conference Proceedings]. Euroregio/Baltic Nordic-Acoustic Meetings (BNAM2022).

Sun, K., Wendt, D., Bramsløw, L., Pontoppidan, N. H. (2022). User behaviour modifies the effect of noise reduction scheme on speech intelligibility [Conference Proceedings]. 24th International Congress on Acoustics (ICA 2022).

Veibäck, C.l., Skoglund, M. A., Hendeby, G., Gustafsson, F. (2022). Linearized Direction of Arrival [Conference Proceedings]. In proceedings of FUSION.

Zaar, J., & Carney, L. H. (2022a). Predicting speech intelligibility across acoustic conditions and hearing status using a physiologically inspired auditory model. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.6576879

Aker, S. C., Innes‐Brown, H., Faulkner, K. F., Vatti, M., & Marozeau, J. (2022). Effect of audio-tactile congruence on vibrotactile music enhancement. The Jurnal of the Acoustical Society of America/ the Jurnal of the Acoustical Society of America, 152(6), 3396–3409. https://doi.org/10.1121/10.0016444

Baboukani, P. S., Graversen, C., Aličković, E., & Østergaard, J. (2022). Speech to noise ratio improvement induces nonlinear parietal phase synchrony in hearing aid users. Frontiers in Neuroscience, 16. https://doi.org/10.3389/fnins.2022.932959

Relaño-Iborra, H., Wendt, D., Neagu, M., Kressner, A. A., Dau, T., & Bækgaard, P. (2022). Baseline pupil size encodes task-related information and modulates the task-evoked response in a speech-in-noise task. Trends in Hearing, 26, 233121652211340. https://doi.org/10.1177/23312165221134003

Leváková, M., Christensen, J. H., & Ditlevsen, S. (2022). Classification of brain states that predicts future performance in visual tasks based on co-integration analysis of EEG data. Royal Society Open Science, 9(11). https://doi.org/10.1098/rsos.220621

Luke, R. H., Innes‐Brown, H., Undurraga, J., & McAlpine, D. (2022). Human cortical processing of interaural coherence. iScience, 25(5), 104181. https://doi.org/10.1016/j.isci.2022.104181

Micula, A., Rönnberg, J., Książek, P., Murmu, R. P., Wendt, D., Fiedler, L., & Ng, E. H. N. (2022). A glimpse of memory through the eyes: pupillary responses measured during encoding reflect the likelihood of subsequent memory recall in an auditory free recall test. Trends in Hearing, 26, 233121652211305. https://doi.org/10.1177/23312165221130581

Pasta, A., Szatmari, T., Christensen, J. H., Jensen, K. J., Pontoppidan, N. H., Sun, K. K., & Larsen, J. E. (2022). Investigating the provision and context of use of hearing aid listening programs from real-world data: Observational study. JMIR. Journal of Medical Internet Research/Journal of Medical Internet Research, 24(10), e36671. https://doi.org/10.2196/36671

Pasta, A., Petersen, M., Jensen, K. J., Pontoppidan, N. H., Larsen, J. E., & Christensen, J. H. (2022). Measuring and modeling context-dependent preferences for hearing aid settings. User Modeling and User-adapted Interaction, 32(5), 977–998. https://doi.org/10.1007/s11257-022-09324-z

Skoglund, M. A., Andersen, M. R., Shiell, M. M., Keidser, G., Rank, M. L., & Rotger-Griful, S. (2022). Comparing in-ear EOG for Eye-Movement Estimation with Eye-Tracking: Accuracy, calibration, and speech comprehension. Frontiers in Neuroscience, 16. https://doi.org/10.3389/fnins.2022.873201

Zaar, J., & Carney, L. H. (2022). Predicting speech intelligibility in hearing-impaired listeners using a physiologically inspired auditory model. Hearing Research, 426, 108553. https://doi.org/10.1016/j.heares.2022.108553

Bysted, P. A. L., Jensen, J., Tan, Z. H., Østergaard, J., Bramsløw, L. (2022). A parameter-conditional neural network framework for modelling parameterized auditory models [Conference Proceedings]. Baltic-Nordic Acoustic Meeting, May 2022, Aalborg, Denmark.

Eriksholm Research Centre Annual Report and Academic Relations 2022.

Neagu, M-B. (2022). Evaluation of pupillometry as a diagnostic tool. DTU Health Technology.

Menase, D. A., Richter, M. M., Wendt, D., Fiedler, L., & Naylor, G. (2022). Task-Induced mental fatigue and motivation influence listening effort as measured by the pupil dilation in a Speech-in-Noise task. medRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2022.01.04.22268734

Keidser, G., Naylor, G., Brungart, D. S., Caduff, A., Campos, J. L., Carlile, S., Carpenter, M. G., Grimm, G., Hohmann, V., Holube, I., Launer, S., Lunner, T., Mehra, R., Rapport, F., Slaney, M., & Smeds, K. (2022). Comment on the point of view “Ecological Validity, External Validity and Mundane Realism in Hearing science.” Ear And Hearing (Print), 43(5), 1601–1602. https://doi.org/10.1097/aud.0000000000001241

Seifi, T., Aličković, E., Cabrera, A. F., Whitmer, W. M., Hadley, L. V., Rank, M. L., Lunner, T., & Graversen, C. (2022). Alpha oscillations during effortful continuous speech: from scalp EEG to Ear-EEG. IEEE Transactions on Biomedical Engineering (Print), 70(4), 1264–1273. https://doi.org/10.1109/tbme.2022.3214428

Pontoppidan, N. H. (2021, November 3). Separating voices with AI for super low-power platforms [Online presentation]. Danish Sound Cluster Webinar. https://danishsoundcluster.dk/audio-signal-processing-using-ai/

Fiedler, L., Seifi, T., Graversen, C., Aličković, E., Lunner, T., & Wendt, D. (2021). Hearing aid noise reduction lowers the sustained listening effort during continuous speech in Noise—A combined pupillometry and EEG study. Ear And Hearing, 42(6), 1590–1601. https://doi.org/10.1097/aud.0000000000001050

Jensen, M., Hüttenrauch, E., Müller-Mazzotta, J., Stuck, B. A., & Weise, C. (2021). On the impairment of executive control of attention in chronic tinnitus. Behavioural Brain Research, 414. https://doi.org/10.1016/j.bbr.2021.113493

Bosman, A. J., Christensen, J. H., Rosenbom, T., Patou, F., Janssen, A. M. L., & Hol, M. K. S. (2021). Investigating Real-World Benefits of High-Frequency Gain in Bone-Anchored Users with Ecological Momentary Assessment and Real-Time Data Logging. Journal of Clinical Medicine, 10(17). https://doi.org/10.3390/jcm10173923

Bönitz, H., Lunner, T., Finke, M., Fiedler, L., Lyxell, B., Riis, S., Ng, E. H. N., Valdes, A. L., Büchner, A., & Wendt, D. (2021). How do we allocate our resources when listening and memorizing speech in noise? A pupillometry study. Ear And Hearing, 42(4), 846–859. https://doi.org/10.1097/aud.0000000000001002

Plain, B., Pielage, H., Richter, M., Bhuiyan, T. A., Lunner, T., Kramer, S. E., Zekveld, A. A. (2021, June 25). A classification approach to listening effort [Conference presentation]. Virtual Conference on Computational Audiology, VCCA, 2021.

Pontoppidan, N. H. (2021 – June 25). Learning from audiological data collected in the lab and the real world [Conference presentation]. Virtual Conference of Computational Audiology, VCCA, 2021.

Aličković, E., Ning Ng, E. H., Fiedler, L., Santurette, S., Innes‐Brown, H., & Graversen, C. (2021). Effects of hearing aid noise reduction on early and late cortical representations of competing talkers in noise. Frontiers in Neuroscience, 15. https://doi.org/10.3389/fnins.2021.636060

Christensen, J. H., Saunders, G. H., Porsbo, M., & Pontoppidan, N. H. (2021). The everyday acoustic environment and its association with human heart rate: evidence from real-world data logging with hearing aids and wearables. Royal Society Open Science, 8(2). https://doi.org/10.1098/rsos.201345

Bramsløw, L., & Beck, D. (2021). Deep Neural Networks in Hearing Devices. Hearing Review, 28(1), 24-26.

Carabali, C. A., Innes‐Brown, H., Luke, R. H., Riis, S., Lunner, T., & McKay, C. M. (2021). Development of an Australian behavioural method for assessing listening task difficulty at high speech intelligibility levels. International Journal of Audiology, 61(2), 166–172. https://doi.org/10.1080/14992027.2021.1931485

Christensen, J. H. (2021). Assessment of real-world benefit from hearing aid noise management: Ecological momentary assessment with acoustic data-logging [Presentation]. The EFAS2021. 2021.

Christensen, J. H., Saunders, G. H., Havtorn, L., & Pontoppidan, N. H. (2021). Real-World hearing aid usage patterns and smartphone connectivity. Frontiers in Digital Health, 3. https://doi.org/10.3389/fdgth.2021.722186

Hausfeld, L., Shiell, M., Formisano, E., & Riecke, L. (2021). Cortical processing of distracting speech in noisy auditory scenes depends on perceptual demand. NeuroImage, 228, 117670. https://doi.org/10.1016/j.neuroimage.2020.117670

Książek, P., Zekveld, A. A., Wendt, D., Fiedler, L., Lunner, T., & Kramer, S. E. (2021). Effect of Speech-to-Noise ratio and luminance on a range of current and potential pupil response measures to assess listening effort. Trends in Hearing, 25, 233121652110093. https://doi.org/10.1177/23312165211009351

Micula, A., Rönnberg, J., Fiedler, L., Wendt, D., Jørgensen, C. M., Larsen, K. D., Ning, Ng, H. E. (2021). Effect of Speech-to-Noise Ratio and Luminance on a Range of Current and Potential Pupil Response Measures to Assess Listening Effort. Ear and Hearing. 2021.

Nielsen, C., Henriksen, T. B. (2021).The good life: What 40 years of consumer comments suggests about hearing aid use. Hearing Review.

Nielsen, C., Henriksen, T. B. (2021). 40 years of consumer comments: Making hearing aid feedback and occlusion past history. Hearing Review.

Pasta, A., Szatmari, T., Christensen, J. H., Jensen, K. J., Pontoppidan, N. H., Sun, K., & Larsen, J. E. (2021). Clustering users based on hearing aid use: An exploratory analysis of Real-World data. Frontiers in Digital Health, 3. https://doi.org/10.3389/fdgth.2021.725130

Plain, B., Pielage, H., Richter, M., Bhuiyan, T. A., Lunner, T., Kramer, S. E., & Zekveld, A. A. (2021). Social observation increases the cardiovascular response of hearing-impaired listeners during a speech reception task. Hearing Research, 410, 108334. https://doi.org/10.1016/j.heares.2021.108334

Skoglund, M. A., Balzi, G., Jensen, E. L., Bhuiyan, T. A., & Rotger-Griful, S. (2021). Activity tracking using Ear-Level accelerometers. Frontiers in Digital Health, 3. https://doi.org/10.3389/fdgth.2021.724714

Zahedi, A., Pedersen, M. S., Ostergaard, J., Christiansen, T. U., Bramslow, L., & Jensen, J. (2021). Minimum processing beamforming. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29, 2710–2724. https://doi.org/10.1109/taslp.2021.3053411

Cabella, T. (2021). Audiovisual listening in older hearing-impaired adults. Master thesis. University of Glasgow.

Sørensen, A. J. M. (2021). The effects of noise and hearing loss on conversational dynamics. PhD thesis. Technical University of Denmark.

With, S. B. L. (2021). Word recognition compared to conversation understanding in relation to visual benefit and reading span for normal hearing. Master thesis. University of Southern Denmark.

Abigail, Anne, Kressner, Bramsløw, L. (2021). Danish Sentence Test Project.

Eriksholm Research Centre Annual Report and Academic Relations 2021.

Książek, P., Zekveld, A. A., Fiedler, L., Kramer, S.E., Wendt, D. (2021). Components of pupil dilation responses reveal the interplay between signal-to-noise ratio and recall during and auditory working memory task.

Pielage, H., Zekveld, A. A., Saunders, G. H., Versfeld, N. J., Lunner, T., Kramer, S. E. (2021). The Presence of Another Individual Influences Listening Effort, But Not Performance. Ear and Hearing, 2021

Seifi, Ala. T., Graversen, C., Whitmer, W. M., Hadley, L. V., Lunner, T. (2021). Motivation modifies effort when the task demands it: EEG evidence of an interaction between reward and demand in a speech-in-noise task.

Andersen, A. H., Santurette, S., Pedersen, M. S., Alickovic, E., Fiedler, L., Jensen, J., Behrens, T. (2021). Creating clarity in noisy environments by using deep learning in hearing aids. Seminars in Hearing , 2021.

Baboukani, P. S., Graversen, C., Alickovic, E., Østergaard, J. (2021). EEG phase synchrony reflects snr levels during continuous speech-in-noise tasks [Conference]. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society.

Cabella, T. (2021). Audio-visual Listening of Hearing Impaired Adults. MSc Thesis, Glasgow University, Denmark, 2021.

Bilert, S. P., Hjortkjær, J., Alickovic, E., Shiell, M. M., Rotger-Griful, S., Zaar, J. (2021). Neural speech processing during selective listening in an audio-visual monologue vs. dialogue paradigm [Poster]. ARO 2021.

Eriksholm Research Centre Annual Report and Academic Relations 2020.

Bilert, S. P. (2020). Decoding Attention in Real-world listening. MSc Thesis, Technical University of Denmark.

Mesiano, P. A., Zaar, J., Bramsløw, L., Iborra, H. R., Pontoppidan, N. H., Dau, T. (2020). The role of fundamental frequency in competing-talker scenarios[Poster]. ARO 43rd Annual MidWinter Meeting.

Regev, J., Mesiano, P. A., Zaar, J., Dau, T. (2020). Chracterizing Comodulation Masking Release in Hearing-Impaired Listeners [Poster]. ARO 43rd Annual MidWinter Meeting.

Seifi, Ala. T., Graversen, C., Whitmer, W., Hadley, L., Luuner, T. (2020). EEG evidence for the interaction between demand and motivation on listening effort [Poster]. Federation of European Neuroscience Societies (FENS).

Zaar, J., Simonsen, L. B., Behrens, T., Dau, T., Laugesen, S. (2020). Predicting the Utility of Hearing-Aid Noise Reduction Based on Spectro-Temporal Modulation Detection [Poster]. ARO 43rd Annual MidWinter Meeting.

Alickovic, E. (2020). The effect of hearing aid signal processing on neural speech processing [Presentation]. Advances and Perspectives in Auditory Neuroscience (APAN).

Innes-Brown, H. (2020). A Review of the Potential for fNIRS Deployed With Audiological Intent [Presentation]. The ARO 43rd Annual MidWinter Meeting.

Pontoppidan, N. H. (2020). Hearing compensation with binaural augmentation [Presentation]. The Joint Conference on Binaural And Spatial Hearing (BASH).

Pontoppidan, N. H., Christensen, J. H., Sun, K. (2020). How much audiological data is needed for convergence? One year! [Presentation]. Virtual Conference on Computational Audiology.

Mesiano, P., Zaar, J., Bramsløw, L., Pontoppidan, N. H., Dau, T. (2020). Assessing the impact of fundamental frequency on speech intelligibility in competing-talker scenarios [Conference Proceedings]. the International Symposium on Auditory and Audiological Research.

Neagu, M. B., Dau, T., Hyvärinen, P., Bækgaard, P., Lunner, T., Wendt, D. (2020). Investigating pupillometry as a reliable measure of individual’s listening effort [Conference proceedings]. Proceedings of the International Symposium on Auditory and Audiological.

Pasta, A., Petersen, M. K., Jensen, K. J., Larsen, J. E. (2020). Designing Audiologist Bots Fusing Soundscapes and User Feedback [Conference proceedings]. Workshop on Conversational Agents for Health and Wellbeing.

Szatmari, T. I., Petersen, M. K., Korzepa, M. J., Giannetsos, T. (2020). Modelling Audiological Preferences using Federated Learning [Conference proceedings]. ACM 28th Conference on User Modeling, Adaptation and Personalization (UMAP), Adaptive and Personalized Privacy and Security.

Veibäck, C., Skoglund, M., Gustafsson, F., Hendeby, G. (2020). Sound Source Localization and Reconstruction Using a Wearable Microphone Array and Inertial Sensors [Conference proceedings]. FUSION.

Zaar, J., Simonsen, L. B., Behrens, T., Dau, T., Laugesen, S. (2020). Investigating the relationship between spectro-temporal modulation detection, aided speech perception, and directional noise reduction preference in hearing-impaired listeners [Conference Proceedings]. the International Symposium on Auditory and Audiological Research.

Zahedi, A., Pedersen, M. S., Østergaard, J., Bramsløw, L., Christiansen, T. U., Jensen, J. (2020). A Constrained Maximum Likelihood Estimator of Speech and Noise Spectra with Application to Multi-Microphone Noise Reduction [Conference proceedings]. ICASSP.

Aličković, E., Lunner, T., Wendt, D., Fiedler, L., Hietkamp, R. K., Ng, E. H. N., & Graversen, C. (2020). Neural representation enhanced for speech and reduced for background noise with a hearing aid noise reduction scheme during a selective attention task. Frontiers in Neuroscience, 14. https://doi.org/10.3389/fnins.2020.00846

Andersson, K. E., Andersen, L. S., Christensen, J. H., & Neher, T. (2021). Assessing Real-Life Benefit from Hearing-Aid Noise Management: SSQ12 Questionnaire versus Ecological Momentary Assessment with Acoustic Data-Logging. American Journal of Audiology, 30(1), 93–104. https://doi.org/10.1044/2020_aja-20-00042

Baboukani, P. S., Graversen, C., Aličković, E., & Østergaard, J. (2020). Estimating conditional transfer entropy in time series using mutual information and nonlinear prediction. Entropy, 22(10), 1124. https://doi.org/10.3390/e22101124

Carlile, S., & Keidser, G. (2020). Conversational interaction is the brain in action: Implications for the evaluation of hearing and hearing interventions. Ear And Hearing, 41(Supplement 1), 56S-67S. https://doi.org/10.1097/aud.0000000000000939

Dritsakis, G., Trenkova, L., Śliwińska-Kowalska, M., Brdarić, D., Pontoppidan, N. H., Katrakazas, P., & Bamiou, D. (2020). Public health policy-making for hearing loss: stakeholders’ evaluation of a novel eHealth tool. Health Research Policy and Systems, 18(1). https://doi.org/10.1186/s12961-020-00637-2

Geirnaert, S., Vandecappelle, S., Alickovic, E., Cheveigné, A. D., Lalor, E., Meyer, B. T., Miran, S., Francart, T., Bertrand, A. (2020). Neuro-Steered Hearing Devices: Decoding Auditory Attention From the Brain. arXiv.

Keidser, G., Naylor, G., Brungart, D. S., Caduff, A., Campos, J. L., Carlile, S., Carpenter, M. G., Grimm, G., Hohmann, V., Holube, I., Launer, S., Lunner, T., Mehra, R., Rapport, F., Slaney, M., & Smeds, K. (2020). The quest for ecological validity in hearing science: what it is, why it matters, and how to advance it. Ear And Hearing, 41(1), 5-19. https://doi.org/10.1097/aud.0000000000000944

Luke, R. H., Larson, E., Shader, M. J., Innes‐Brown, H., Van Yper, L., Lee, A. K. C., Sowman, P. F., & McAlpine, D. (2021). Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm. Neurophotonics, 8(02). https://doi.org/10.1117/1.nph.8.2.025008

Lunner, T., Aličković, E., Graversen, C., Ng, E. H. N., Wendt, D., & Keidser, G. (2020). Three new outcome measures that tap into cognitive processes required for Real-Life communication. Ear And Hearing, 41(Supplement 1), 39S-47S. https://doi.org/10.1097/aud.0000000000000941

Mesiano, P., Zaar, J., Bramslw, L., Relaño-Iborra, H., & Dau, T. (2023). The role of average fundamental frequency difference on the intelligibility of Real-Life competing sentences. Journal of Speech, Language, and Hearing Research, 66(7), 2521–2534. https://doi.org/10.1044/2023_jslhr-22-00219

Miles, K., Keidser, G., Freeston, K., Beechey, T., Best, V., & Buchholz, J. M. (2020). Development of the Everyday Conversational Sentences in Noise test. the Journal of the Acoustical Society of America/the Journal of the Acoustical Society of America, 147(3), 1562–1576. https://doi.org/10.1121/10.0000780

Plain, B., Richter, M. M., Zekveld, A. A., Lunner, T., Bhuiyan, T. A., & Kramer, S. E. (2020). Investigating the influences of task demand and reward on cardiac Pre-Ejection Period reactivity during a Speech-in-Noise task. Ear And Hearing, 42(3), 718–731. https://doi.org/10.1097/aud.0000000000000971

Pontoppidan, N. H. (2020). The EVOTION project: Preventing deafness and hearing loss.Open Access Government.

Saunders, G. H., Christensen, J. H., Gutenberg, J., Pontoppidan, N. H., Smith, A., Spanoudakis, G., & Bamiou, D. (2020). Application of big Data to support Evidence-Based Public Health Policy Decision-Making for Hearing. Ear And Hearing, 41(5), 1057–1063. https://doi.org/10.1097/aud.0000000000000850

Seifi, T., Graversen, C., Wendt, D., Aličković, E., Whitmer, W. M., & Lunner, T. (2020). An exploratory Study of EEG Alpha Oscillation and Pupil Dilation in Hearing-Aid Users During Effortful listening to Continuous Speech. PloS One, 15(7), e0235782. https://doi.org/10.1371/journal.pone.0235782

Weder, S., Shoushtarian, M., Olivares, V., Zhou, X., Innes‐Brown, H., & McKay, C. M. (2020).Cortical fNIRS Responses Can Be Better Explained by Loudness Percept than Sound Intensity. Ear And Hearing , 41(5), 1187–1195. https://doi.org/10.1097/aud.0000000000000836

Szatmari, T.I. (2020). Federated Learning Techniques in Healthcare Environments. Master. thesis. Technical University of Denmark, Department of Applied Mathematics and Computer Science.

Keidser, G., Naylor. G. (2020). Eriksholm Workshop on Ecologically Valid Assessments of Hearing and Hearing Devices. Ear and Hearing .

Alickovic, E., Bramsløw, L., Hanif, U., Rossing, R., Naithani, G., Virtanen, T., Graversen, C., Wendt, D., Lunner, T., Pontoppidan, N. H. (2019). The Effect of DNN-Based Voice Segregation on Selective Attention [Poster]. International IEEE EMBS Conference on Neural Engineering 2019, San Francisco.

Alickovic, E., Graversen, C., Wendt, D., Książek, P., Hietkamp, R., Lunner, T. (2019). The Effect of Noise on the Selective Attention [Poster]. CNS 2019 in San Francisco.

Aguirre, S., Bramsløw, L., Lunner, T., Whitmer, W. (2019). Spatial Cue Distortions Within A Virtualized Sound Field Caused By An Additional Listener [Poster]. ICA 2019, Aachen. Germany, September 9-13 2019

Bramsløw, L., Grant, C., Naithani, G., Pontoppidan, N. H., Virtanen, T. (2019). Speaker and Speech Dependence in a Deep Neural Networks Speech Separation Algorithm [Poster]. the Speech in Noise Workshop January 10-11, 2019.

Hietkamp, R. K., Rotger-Griful, S., Brøndum, Lange, S., Graversen, C., Bhuyian, T., Favre-Félix, A., Lunner, T. (2019). Eye Gaze Steering Works Miracles for Hearing Aid Users in Noisy Environments [Poster]. the 11th Speech in Noise Workshop January 10-11, 2019.

Jørgensen, M., Larsen, D., Wendt, D., Fiedler, L., Micula, A., Ng, E. (2019). How do Noise Reduction and Task Difficulty Affect Effort Mobilization of Hearing-Aid Users in a Recall task? [Poster]. CHScom 2019.

Lunner, T., Graversen, C., Seifi, Ala, T., Fiedler, L., Hietkamp, R., Wendt, D., Alickovic, E. (2019). Effect of Noise-Reduction Scheme on Auditory Attention Detection [Poster]. CHSCOM 2019, June 9-12, Sweden.

Rossing, R., Korzepa, M., Christensen, J. H., Johansen, B., Petersen, M. K., Larsen, J. E,, Pontoppidan, N. H. (2019). Learning Preferences and Soundscapes Through Intelligent Interfaces [Poster]. EFAS 2019.

Seifi, Ala, T., Graversen, C., Wendt, D., Alickovic, E., Hietkamp, R., Lunner, T. (2019). Assessment of Effort Mobilization with EEG and Pupillometry in Hearing Aid Users [Poster]. CHSCOM 2019, June 9-12, Sweden.

Tietz, L., Saunders, G. (2019). The Role of Hearing in Aging and Hearing Rehabilitation Technology with an Outlook on Future Applications [Poster]. The International Conference on Information and Communications Technologies for Ageing Well 2019.

Bramløw, L. (2019). Speech Separation Algorithms Using Deep Neural Networks [Presentation]. the International Hearing Instruments Developer Forum 2019.

Christensen, J. (2019). EVOTION: introduction [Presentation]. the Big Data for Precision Medicine Sumposium 2019, Cordoba, Spain.

Christensen, J., Pontoppidan, N., Anisetti, M., Bellandi, V., Cremonini, M. (2019). Improving Hearing Healthcare with Big Data analytics of real time hearing aid data [Presentation]. 1st IEEE Services Workshop on Big Data for Public Health Policy Making, July 8-13, 2019, Milan, Italy.

Christensen, J. (2019). Data-Driven Hearing Healthcare [Presentation]. the International Adult Aural Rehabilitation Conference.

Christensen, J. (2019). EVOTION: Introduction [Presentation]. the IEEE International Symposium on Computer-Based Medical Systems.

Hermann, Uwe. (2019). The Future of Healthcare: Better Health with AI [Presentation]. DSS Conference, 26 September, Svendborg, Denmark.

Innes-Brown, H. (2019). Hearing and Cognition: Neurofeedback Control, Listening Effort Reduction and Memory Improvement [Presentation]. the Konference I Neurologi og Neuropædagogik.

Innes-Brown, H. (2019). Hearing Assessment Using Infrared Light (fNIRS): Frontiers and Challenges [Presentation]. the DTU Hearing Systems Group Seminar.

Innes-Brown, H. (2019). Cognitive Hearing Aids: Neurofeedback Control, Listening Effort Reduction, and Memory Improvement [Presentation]. the Finnish Hard of Hearing Federation.

Innes-Brown, H. (2019). Interaural Phase Modulation Following Responses, and Possible Links to Speech Understanding in Noise [Presentation]. the Listen & Learn workshop (Macquarie University, Sydney).

Keidser, G. (2019). Adding Realism to Speech Tests [Presentation]. the ICRA meeting.

Keidser, G. (2019). Speech Tests for Assessing Hearing and Hearing Devices [Presentation]. the Eriksholm Workshop.

Keidser, G. (2019). Communication Effort as an Interactive System Between Interlocutors: the Effect of Hearing Loss and Amplification [Presentation]. the CHSCOM.

Ksiazek, P. (2019). What Insights Into Pupil Size During Listening do Various Analysis Techniques Provide and How Sensitive are They to Task Demands and Luminance? [Oral presentation] CHSCOM 2019, June 9-12, Linköping.

Saunders, G. (2019). Preliminary Hearing Related Findings from Analyses of Clinical VA Data [Oral presentation]. the American Auditory Society 2019.

Skoglund, M. (2019). Positioning and Hearing Aid Research [Presentation]. the WASP Smart Localization workshop.

Skoglund, M. (2019). On Iterative Unscented Kalman Filter using Optimization [Presentation]. the International Conference on Information Fusion.

Rotger, griful, S. (2019). Cognitive Control of a Hearing Aid [Presentation]. the International Hearing Instruments Developer Forum 2019.

Wendt, D. (2019). Pupillometry for testing the Impact of a Hearing Device on Listening Effort [Presentation]. the International Hearing Instruments Developer Forum 2019, Oldenburg, Germany, June 13-14, 2019.

Alickovic, E., Bramsløw, L., Hanif, U., Rossing, R., Naithani, G., Virtanen, T., Graversen, C., Wendt, D., Lunner, T., Pontoppidan, N. H. (2019). The Effect of DNN-Based Voice Segregation on Selective Attention [Poster]. International IEEE EMBS Conference on Neural Engineering 2019, San Francisco.

Christensen, J., Pontoppidan, N. H., Anisetti, M., Bellandi,V., Cremonini, M. (2019). Improving hearing healthcare with Big Data analytics of real-time hearing aid data [Conference Proceedings]. 2019 IEEE World Congress on Services (SERVICES) (Vol. 2642, pp. 307-313)

Christensen, J. H., Pontoppidan, N. H. (2019). EVOTION–Big Data Supporting Public Hearing Health Policies [Conference Proceedings]. of the IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) (pp. 7-8).

Peng, F., McKay, C. M., Mao, D., Hou, W., Innes-Brown, H. (2019). Cortical Pitch Response Components Correlate with the Pitch Salience of Resolved and Unresolved components of Mandarin Tones [Conference Proceedings]. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019.

Johansen, B., Eg,Larsen, J., Petersen, M. K., Pontoppidan, N. H. (2019). Modeling User Utterances as Intents in an Audiological Design Space [Conference Proceedings]. of The ACM CHI Conference on Human Factors in Computing System 2019, Glasgow.

Pasta, A., Petersen,M. K., Juul, Jensen, K., Eg, Larsen, J. (2019). Rethinking Hearing Aids as recommender Systems [Conference Proceedings]. of ACM Conference Recommender Systems, 16-20 September, Copenhagen, Denmark.

Skoglund, M., Gustafsson, F. Hendeby, G. (2019). On Iterative Unscented Kalman Filter using Optimization [Conference Proceedings]. the 22nd International Conference on Information Fusion, Ottawa.

Tietz, L., Saunders, G. (2019). The Role of hearing in aging and hearing rehabilitation technology with an outlook on future applications [Conference Proceedings]. the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2019), Heraklion.

Saunders, G. H. (2019). Photo-Sharing as an audiological rehabilitation tool. the Hearing Journal/the Hearing Journal, 72(9), 16,17. https://doi.org/10.1097/01.hj.0000582436.09398.32

Beck, D. L., Bramsløw, L. (2019). Speech in Noise Research and Deep Neural Networks: An Interview with Lars Bramslow, PhD. Hearing Review. 2019;26(9):46-47

Alickovic, E., Lunner, T., Gustafsson, F., & Ljung, L. (2019). A tutorial on Auditory attention identification methods. Frontiers in Neuroscience, 13. https://doi.org/10.3389/fnins.2019.00153

Arnold, M., Small, B. J., Hyer, K., Chisolm, T., Frederick, M. T., Silverman, S. C., & Saunders, G. H. (2019). Development of a hearing help-seeking questionnaire based on the theory of planned behavior. International Journal of Audiology, 58(5), 287–295. https://doi.org/10.1080/14992027.2018.1535720

Arnold, M.L., Hyer, K., Small, B.J., Chisolm, T.H., Saunders, G.H., McEvoy, C.L., Lee, D.J., Dhar, S., Bainbridge, K.E. (2019). Hearing Aid Prevalence and Factors Related to Use among Older Adults from Hispanic/Latino Backgrounds: Findings from the Hispanic Community Health Study/Study of Latinos. JAMA Otolaryngol Head Neck Surg, Apr 18.

Bennett, R. J., Laplante-Lévesque, A., & Eikelboom, R. H. (2019). How do hearing aid owners respond to hearing aid problems? Ear And Hearing, 40(1), 77–87. https://doi.org/10.1097/aud.0000000000000595

Bianchi, F., Wendt, D., Wassard, C., Maas, P., Lunner, T., Rosenbom, T., & Holmberg, M. (2019). Benefit of higher maximum force output on listening effort in Bone-Anchored hearing system users. Ear And Hearing, 40(5), 1220–1232. https://doi.org/10.1097/aud.0000000000000699

Bramsløw, L., Vatti, M., Rossing, R., Naithani, G., & Pontoppidan, N. H. (2019). A competing voices test for Hearing-Impaired listeners applied to spatial separation and ideal Time-Frequency masks. Trends in Hearing, 23, 233121651984828. https://doi.org/10.1177/2331216519848288

Carlson, K., Sell, S., Vachhani, J., Folmer, R., Saunders, G.H., Feeney, M.P. (2019). Enhancing Screening Systems to Facilitate Hearing Health Care Access: A Qualitative Study. Journal of the American Academy of Audiology, 30(4):250–263.

Christensen, J. H., Pontoppidan, N. H., Rossing, R., Anisetti, M., Bamiou, D., Spanoudakis, G., Murdin, L., Bibas, T., Kikidiks, D., Dimakopoulos, N., Giotis, G., & Ecomomou, A. (2019). Fully synthetic longitudinal Real-World data from hearing aid wearers for public health policy modeling. Frontiers in Neuroscience, 13. https://doi.org/10.3389/fnins.2019.00850

Christensen, J. H., Bex, P. J., & Fiser, J. (2019). Coding of low-level position and orientation information in human naturalistic vision. PloS One, 14(2), e0212141. https://doi.org/10.1371/journal.pone.0212141

Favre-Félix, A., Graversen, C., Bhuiyan, T. A., Skoglund, M. A., Rotger-Griful, S., Rank, M. L., Dau, T., & Lunner, T. (2019). Absolute eye gaze estimation with biosensors in hearing aids. Frontiers in Neuroscience, 13. https://doi.org/10.3389/fnins.2019.01294

Janssen, N. A., Marozeau, J., Bramsløw, L., & Riis, S. (2019). A modification of the scale illusion into a detection task for assessment of binaural streaming. the Journal of the Acoustical Society of America/the Journal of the Acoustical Society of America, 145(6), EL457–EL462. https://doi.org/10.1121/1.5110243

Manchaiah, V., Granberg, S., Grover, V., Saunders, G.H., Hall, D. (2019). Content Validity and Feasibility of Patient-Reported Questionnaire Instruments of Hearing Disability. International Journal of Audiology

Mao, D., Innes-Brown, H., Petoe, M. A., Wong, Y. T., & McKay, C. M. (2019). Fully objective hearing threshold estimation in cochlear implant users using phase-locking value growth functions. Hearing Research, 377, 24–33. https://doi.org/10.1016/j.heares.2019.02.013

Müller, J. A., Wendt, D., Kollmeier, B., Debener, S., & Brand, T. (2019). Effect of speech rate on neural tracking of speech. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.00449

Palmer, A. D., Carder, P. C., White, D. L., Saunders, G., Woo, H., Graville, D. J., & Newsom, J. T. (2019). The impact of communication impairments on the social relationships of Older adults: Pathways to Psychological Well-Being. Journal of Speech, Language, and Hearing Research, 62(1), 1–21. https://doi.org/10.1044/2018_jslhr-s-17-0495

Rudner, M., Danielsson, H., Lyxell, B., Lunner, T., & Rönnberg, J. (2019). Visual Rhyme judgment in adults with Mild-to-Severe Hearing loss. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01149

Saunders, G. H., Dillard, L. K., Frederick, M. T., & Silverman, S. C. (2019). Examining the utility of photovoice as an audiological counseling tool. Journal of the American Academy of Audiology, 30(05), 406–416. https://doi.org/10.3766/jaaa.18034

Saunders, G.H., Frederick, M.T., Silverman, S., Penman, T., Gardner, A., Chisolm, T.H., Escabi, C.D., Oree, P.H., Westermann, L.C., Sanchez, V.A., Arnold, M.L. (2019). Hearing screening in the community. Journal of the American Academy of Audiology

Shoushtarian, M., Weder, S., Innes-Brown, H., & McKay, C. M. (2019). Assessing hearing by measuring heartbeat: The effect of sound level. PloS One, 14(2), e0212940. https://doi.org/10.1371/journal.pone.0212940

Zhou, X., Innes-Brown, H., McKay, C.M. (2019). Audio-Visual Integration in Cochlear Implant Listeners and the Effect of Age Difference. Journal of Speech

Weder, S., Shoushtsrian, M., Olivares, V., Innes-Brown, H., McKay, C.M. (2019). Cortical fNIRS Responses Can Be Better Explained by Loudness Percept than Sound Intensity. Journal of Speech, Ear & Hearing.

Andersson, K. E. (2019). Daily-life benefit from hearing aid noise management: The influence og sound environments. Ph.D thesis. Technical University of Denmark: Engineering Psychology, SDU, Odense.

Nellemann, J. L. (2019). The benefits and user experience of hearing aids controlled bu eue gaze og the iser. Ph.D thesis. Technical University of Denmark: Engineering Psychology, AAU, Aalborg.

Pontoppidan, N. H., Christensen, J. H. (2019). User behavior with EVOTION hearing aids, in: Ochmann M, Vorländer M, Fels J. (Eds.) [Presentation]. the 23rd International Congress on Acoustics, Deutsche Gesellschaft für Akustik e.V., Aachen, Germany, pp. 1–3, 2019

Eriksholm Research Centre Annual Report and Academic Relations 2019.

Andersen, L. S., Andersson, K. E., Wu, M., Pontoppidan, N., Bramsløw, L., & Neher, T. (2020). Assessing daily-life benefit from hearing aid noise management: SSQ12 vs. ecological momentary assessment. Danavox Jubilee Foundation, 7, 273–280. https://findresearcher.sdu.dk:8443/ws/files/169045246/Andersen_et_al_ISAAR2019.pdf

Eriksholm Research Centre Annual Report and Academic Relations 2018.

Bramsløw, L., Vase, Legarth. S. (2018). Hearing Aids. In Zacharov, N. (Eds.), Sensory Evaluation of Sound (pp. 269-316). Miami, FL: CRC Press. https://doi.org/10.1201/9780429429422

Bramsløw, L. (2018). Segregation enhancement for hearing impaired listeners using a deep neural networks separation algorithm [Presentation]. SPiN 2018, Glasgow, 11-12 January.

Favre-Felix, A., Harrison, M., Hietkamp, R.,Bhuiyan, T., Lunner, T. (2018). Evaluating the Use of Steering a Hearing Aid in a Dynamic Multi-Talker Environment Using Body Signals [Poster]. IEEE EMBC 2018.

Gutenberg, J., Tietz, L. H. B., Meedom, N. H., Laplante-Lévesque, A. (2018). Big Data Supporting Public Hearing Health Policiesm [Poster]. Medico Bazar, Lyngby, Denmark

Gutenberg, J., Laplante-Lévesque, A., Pontoppidan, N.H. (2018). eHealth and Big Data usage in Audiology. EVOTION: A European Research Project Generating Big Data Evidence [Poster]. MIE 2018 -The 29th Medical Informatics Europe conference in Gothenburg, Sweden, April 24-26 2018.

Książek, P., Wendt, D., Alickovic, E., Lunner, T. (2018). Analysis of the individual listening effort reflected by the pupillary responses during speech perception in noise [Poster]. the Speech in Noise workshop (Spin) 2018 in Glasgow, UK.

Książek, P., Wendt, D., Lunner, T. (2018). Listening effort in hearing-impaired listeners and the impact of Hearing Aids’ signal processing: Insights from Pupillometry [Poster]. AAA 2018 (American Academy of Audiology).

Lundbeck, M., Grimm, G., Hohmann, V., Bramsløw, L., Neher, T. (2018). Influence of signal enhancement algorithms on auditory movement detection in acoustically complex situations [Poster]. the International Hearing Aid Research Conference 2018.

Lystrup, L., Tietz, L., Gutenberg, J. (2018). Eriksholm Guide to Better Hearing (EGBH) – Development and testing of an online hearing rehabilitation program [Poster]. NAS (Nordic Audiological Society 2018) and Vingstedkursus for medarbejdere i hrerehabiliteringen ved kommunikationscentre 2018.

Lystrup, L., Winther, C. (2018). Klinikgruppen og det kliniske arbejde på Eriksholm Research Centre [Poster]. Vingstedkursus for medarbejdere i hørerehabiliteringen ved kommunikationscentre 2018.

Petersen, L.S.E., Lopez, Valdes, A., Hietkamp, R., Lind, Rank, M., Lunner, T. (2018). Waxy business: the impact of ear cerumen on in-ear electrophysiological recordings [Poster]. IHCON 2018.

Pontoppidan, N.H., Rossing, R., Christensen, J.H., Bamiou, D., Dritsakis, G., Katrakazas, P., Koutsouris, D., et al. (2018). EVOTION Big data supporting public hearing health policies [Poster]. the International Hearing Aid Research Conference 2018.

Rossing, R., Pontoppidan, N.H., Meedom, N.H. (2018). Patientflow af +1000 deltagere i EU projektet EVOTION [Poster]. Vingstedkursus for medarbejdere i hrerehabiliteringen ved kommunikationscentre 2018.

Wendt, D. (2018). Impact of SNR, hearing impairment, and hearing aid technology on listening effort as indicated by the pupillary response [Poster]. International Hearing Aid Research Conference 2018.

Alickovic, E., Gustafson, F., Lunner, T. (2018). A Correlation-Based Learning Approach to Determining Listening Attention from EEG Signals [Presentation]. EMBC 2018 – 40th International Engineering in Medicine and Biology Conference, Hawaii, July 17-21, 2018.

Skoglund, M., Lunner, T. (2018). Multi-sensor Hearing Aid Research [Presentation]. the Swedish Automatic Control Meeting, 2018.

Bramsløw, L. (2018). Segregation enhancement for hearing impaired listeners using a deep neural networks separation algorithm [Presentation]. SPiN 2018, Glasgow, 11-12 January 2018.

Bramsløw, L. (2018). Segregation benefit from deep neural networks assessed via speech recognition and physiological measures [Presentation]. IHCON 2018, USA, August 15-19.

Gutenberg, J. (2018). eHealth [Presentation]. the 9th National Audiology and Speech Disorders Congress, Turkey, October 11-13 2018.

Johansen, B., Korzepa, M., Petersen, M., Pontppidan, N., Larsen, J. (2018). Mapping auditory percepts into visual interfaces for hearing impaired users [Presentation]. CHI 2018, April 21-26.

Korzepa, M., Johansen, B., Petersen, M.K., Larsen, J., Eg. Larsen, J., Pontoppidan, N.H. (2018). Modeling User Intents as Context in Smartphone-connected hearing Aids [Conference Proceedings]. Proceedings of User Modeling, Adaptation and Personalization 2018, 8-11 July.

Lunner, T. (2018). Aiming for the perfect hearing aid [Presentation]. the Finish Audiological Society Meeting, March 2018.

Lunner, T. (2018). Aiming for the perfect hearing aid fitting [Presentation]. Finish Audiological Society Meeting, March 2018.

Lunner, T. (2018). Don’t forget the Brain [Presentation]. Oticon Medical Scientific Meeting, Denmark, Sept 2018.

Lunner, T. (2018). Framtidens höreapparater [Presentation]. Hörselvårdchefer i Sverige, Sweden, Nov 2018.

Lunner, T. (2018). Hearing Aids state of the art 2018 [Presentation]. Tema Hörsel, March 2018.

Saunders, G. (2018). Big Data and decision support for public health hearing policies [Presentation]. the World Congress of Audiology, South Africa, October 27-31 2018.

Tietz, L. (2018). Big Data for Hearing Healthcare: The Eriksholm (little) Big Data project – Open Communications [Presentation]. the 3rd InternationalConferenceon Internet of Things, Big data and Security, March 19-20.

Vatti, M., Georganti, E., Oreinos, C., Xenaki, A. (2018). Audio signal processing for hearing instruments: An overview [Presentation]. EURONOISE 2018, May 27-31.

Wendt, D. (2018). Impact of hearing impairment and hearing aid technology on listening effort [Presentation]. the 19th World Congress of Psychophysiology (IOP2018), Italy, September 4-8 2018.

Lunner, T. (2018). Towards Intention-controlled hearing aids [Presentation]. the Royal Society Meeting, London, Nov 2018.

Christensen, J. H., Petersen, M. K., Pontoppidan, N. H., Cremonini, M. (2018). Big Data Analytics in Healthcare: Design and Implementation for a Hearing Aid Case Study [Conference Proceedings]. the 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) (pp. 296-303). IEEE.

Cabrera, A.F., Petersen, E.B., Graversen, C., Sorensen, A.T., Lunner, T., Rank, M.L. (2018). Individual Classification of Single Trial EEG Traces to Discriminate Brain responses to Speech with Different Signal-to-Noise Ratios [Conference Proceedings]. the IEEE Engineering in Medicin and Biology Society 2018:987-990.

Naithani, G., Nikunen, J., Bramsløw, L., Virtanen, T. (2018). Deep Neural Network Based Speech Separation Optimizing an Objective Estimator of Intelligibility for Low Latency Applications [Conference Proccedings]. the 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

Gutenberg, J., Laplante-Lévesque, A., Pontoppidan, N.H. (2018). eHealth and Big Data Usage in Audiology-EVOTION: A European Research Project Generating Big Data Evidence [Conference Proceedings]. the Medical Informatics Europe 2018, Gothenburg, Sweden, April 24-26 2018.

Johansen, B., Korzepa, M., Petersen, M., Pontppidan, N., Larsen, J. (2018). Mapping auditory percepts into visual interfaces for hearing impaired users [Presentation]. CHI 2018, April 21-26.

Korzepa, M., Johansen, B., Petersen, M.K., Larsen, J., Eg. Larsen, J., Pontoppidan, N.H. (2018). Modeling User Intents as Context in Smartphone-connected hearing Aids [Conference Proceedings]. User Modeling, Adaptation and Personalization 2018, 8-11 July.

Korzepa, M., Johansen, B., Petersen, M.K., Pontoppidan, N.H., Larsen, J., Eg. Larsen, J. (2018). Learning preferences and soundscapes for augmented hearing [Conference Proceedings]. Intelligent User Interfaces (IUI 2018).

Beck, D., Jl, D., Abrams, H., Atcherson, S., Brown, D. C., Chasin, M., Clark, J., De Placido, C., Edwards, B., Da, F., Flexer, C., Fligor, B. J., Frazer, G. J., Galster, J., Gifford, R. H., Johnston, C., Madell, J. R., Moore, T. J., Roeset, R., Wolfe, J. (2018). Audiologic considerations for people with normal hearing sensitivity yet hearing difficulty and/or speech-in-noise problems. Hearing Review, 25(10), 28–38. https://www.research.manchester.ac.uk/portal/en/publications/audiologic-considerations-for-people-with-normal-hearing-sensitivity-yet-hearing-difficulty-andor-speechinnoise-problems(533541f0-efc5-43b6-8506-657668d87d96).html

Bennett, R. J., Laplante-Lévesque, A., Meyer, C., & Eikelboom, R. H. (2018). Exploring Hearing aid Problems: Perspectives of hearing aid owners and clinicians. Ear And Hearing, 39(1), 172–187. https://doi.org/10.1097/aud.0000000000000477

Bönitz, H., Kopp, B., Büchner, A., Lunner, T., Lyxell, B., & Finke, M. (2018). Event-related neuronal responses to acoustic novelty in single-sided deaf cochlear implant users: Initial findings. Clinical Neurophysiology, 129(1), 133–142. https://doi.org/10.1016/j.clinph.2017.10.025

Bramsløw, L., Naithani, G., Hafez, A., Barker, T., Pontoppidan, N. H., & Virtanen, T. (2018). Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithm. the Journal of the Acoustical Society of America/the Journal of the Acoustical Society of America, 144(1), 172–185. https://doi.org/10.1121/1.5045322

Malmberg, M., Thorén, E. S., Öberg, M., Lunner, T., Andersson, G., & Kähäri, K. (2018b). Experiences of an Internet-based aural rehabilitation (IAR) program for hearing aid users: a qualitative study. International Journal of Audiology, 57(8), 570–576. https://doi.org/10.1080/14992027.2018.1453171

Christensen, C. B., Harte, J. M., Lunner, T., & Kidmose, P. (2018). Ear-EEG-Based Objective Hearing Threshold estimation evaluated on normal hearing subjects. IEEE Transactions on Bio-medical Engineering/IEEE Transactions on Biomedical Engineering, 65(5), 1026–1034. https://doi.org/10.1109/tbme.2017.2737700

Nielsen, A. C., Rotger-Griful, S., Kanstrup, A. M., & Laplante-Lévesque, A. (2018). User-Innovated eHealth solutions for service delivery to older persons with hearing impairment. American Journal of Audiology, 27(3S), 403–416. https://doi.org/10.1044/2018_aja-imia3-18-0009

Dritsakis, G., Kikidis, D., Koloutsou, N., Murdin, L., Bibas, A., Ploumidou, K., Laplante-Lévesque, A., Pontoppidan, N. H., & Bamiou, D. (2018). Clinical validation of a public health policy-making platform for hearing loss (EVOTION): protocol for a big data study. BMJ Open, 8(2), e020978. https://doi.org/10.1136/bmjopen-2017-020978

Favre-Félix, A., Graversen, C., Hietkamp, R. K., Dau, T., & Lunner, T. (2018). Improving speech intelligibility by hearing aid Eye-Gaze steering: Conditions with head fixated in a multitalker environment. Trends in Hearing, 22, 233121651881438. https://doi.org/10.1177/2331216518814388

Johansen, B., Petersen, M., Korzepa, M. J., Larsen, J., Pontoppidan, N. H., & Larsen, J. E. (2018). Personalizing the fitting of hearing aids by learning contextual preferences from internet of things data. Computers, 7(1), 1. https://doi.org/10.3390/computers7010001

Jensen, J. J., Callaway, S. L., Lunner, T., & Wendt, D. (2018). Measuring the impact of tinnitus on aided listening effort using pupillary response. Trends in Hearing, 22, 233121651879534. https://doi.org/10.1177/2331216518795340

Koelewijn, T., Zekveld, A. A., Lunner, T., & Kramer, S. E. (2018). The effect of reward on listening effort as reflected by the pupil dilation response. Hearing Research , 367, 106–112. https://doi.org/10.1016/j.heares.2018.07.011

Lundbeck, M., Hartog, L., Grimm, G., Hohmann, V., Bramsløw, L., & Neher, T. (2018). Influence of multi-microphone signal enhancement algorithms on the acoustics and detectability of angular and radial source movements. Trends in Hearing, 22, 233121651877971. https://doi.org/10.1177/2331216518779719