Back

Niels Pontoppidan

Principal Scientist

“I hope that future science will lead us to understand how personalized audiology depends on the situations, the intent, and the individual capabilities, so that we can create hearing aids that truly adapt to the individual.”

What is your primary work area within Eriksholm Research Centre?

I primarily work with data from fitting software, hearing aids, and hearing aid users. From that data we try to understand how to build personalized audiology for the future.

What is your primary work area within Eriksholm Research Centre?

I primarily work with data from fitting software, hearing aids, and hearing aid users. From that data we try to understand how to build personalized audiology for the future.

What originally triggered you interest in the hearing care field?

My first quest was to solve the segregation problem, the problem that users of hearing aids face with competing voices, for instance at family dinners and cocktail parties. Here I was interested in seeing how machines can learn to recognize voices so that they could be separated as if conversation partners had their own microphone.

What originally triggered you interest in the hearing care field?

My first quest was to solve the segregation problem, the problem that users of hearing aids face with competing voices, for instance at family dinners and cocktail parties. Here I was interested in seeing how machines can learn to recognize voices so that they could be separated as if conversation partners had their own microphone.

What brought you to Eriksholm?

I found Eriksholm to be the perfect place to provide the opportunity for me to pursue the above

What brought you to Eriksholm?

I found Eriksholm to be the perfect place to provide the opportunity for me to pursue the above

What motivates you in your job?

I’m motivated by everything we learn through our research, and by transforming these learnings into tangible improvements for people living their life with a hearing loss. And in between the quantum leaps, I am happy to settle for many small improvements.

What motivates you in your job?

I’m motivated by everything we learn through our research, and by transforming these learnings into tangible improvements for people living their life with a hearing loss. And in between the quantum leaps, I am happy to settle for many small improvements.

What do you do in your spare time when you’re not working at Eriksholm?

Besides spending time with my family, I play floorball, which is a really fast paced sport, and then I play music.

What do you do in your spare time when you’re not working at Eriksholm?

Besides spending time with my family, I play floorball, which is a really fast paced sport, and then I play music.

What is the most exciting scientific breakthrough or invention in your time?

Deep neural networks and its two impacts on hearing care. First, when we showed that deep neural networks can learn specific voices so well that the separated outputs improve segregation for people with hearing loss. Then, secondly, the related breakthrough in Oct 2020, with the launch of Oticon More, where a key component of hearing aid signal processing in hearing aids was significantly upgraded with deep neural networks. It has been awesome to pursue the long-term potential with deep neural networks and to witness the immediate impact on products with smaller networks.

What is the most exciting scientific breakthrough or invention in your time?

Deep neural networks and its two impacts on hearing care. First, when we showed that deep neural networks can learn specific voices so well that the separated outputs improve segregation for people with hearing loss. Then, secondly, the related breakthrough in Oct 2020, with the launch of Oticon More, where a key component of hearing aid signal processing in hearing aids was significantly upgraded with deep neural networks. It has been awesome to pursue the long-term potential with deep neural networks and to witness the immediate impact on products with smaller networks.

What do you hope will happen in future science?

I hope that future science will lead us to understand how personalized audiology depends on the situations, the intent, and the individual capabilities, so that we can create hearing aids that truly adapt to the individual.

What do you hope will happen in future science?

I hope that future science will lead us to understand how personalized audiology depends on the situations, the intent, and the individual capabilities, so that we can create hearing aids that truly adapt to the individual.

Publications

To see related publications, please follow this link and type in the scientist’s name in the free text search field. The result shows publications by this scientist during collaboration with Eriksholm Research Centre and/or with relevance to current work.

Loading...
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
Lunner, T., Andersen, M.R., Pontoppidan, N.H., Hopkins, K., Moore, B.C.J. (2008). Replication of experiments on the ability to benefit from temporal fine-structure information in speech among persons with moderate cochlear hearing loss [Poster]. International Hearing Aid Research Conference, IHCON. Lake Tahoe, California.
Pontoppidan, N.H., Vatti, M. (2010) Temporal fine structure deficits in perceptual organization [Poster]. International Hearing Aid Research Conference, IHCON. Lake Tahoe, California, USA.
Hietkamp, R.K., Andersen, M.R., Kristensen, M.S., Pontoppidan, N.H., Lunner, T. (2010). The TFS1-test reveals mild hearing loss [Poster]. American Speech-Language-Hearing Association, ASHA. Kansas City, Missouri.
Vatti, M., Santurette, S., Pontoppidan, N. H., Dau, T.(2013). Maximum acceptable vibrato excursion as a function of vibrato rate in musicians and non-musicians.
Santurette, S., Vatti, M., Pontoppidan, N. H., Dau, T. (2013). Freqency-modulation vowel maps in normal-hearing and hearing-impaired listeners [Poster]. the 36th Midwinter Research Meeting, Baltimore, USA
King, A., Bramsløw, L., Hietkamp, R. K., Vatti, M., Hafez, A., Pontoppidan, N. H., Hopkins, K. (2013). The Benefit of Temporal Fine Structure in Spatial Release From Masking for Older Hearing-Impaired Listeners. [Poster]. the International Symposium on Audiological and Auditory Research, ISAAR, Denmark
Vatti, M., Santurette, S., Pontoppidan, N.H., Dau, T. (2014). Perception of a Sung Vowel as a Function of Frequency-Modulation Rate and Excursion in Listeners With Normal Hearing and Hearing Impairment. Journal of Speech, Language, and Hearing Research, 57. p.1961-1971
Pontoppidan, N.H., Rønne, F.M., Mathew, A.K., Purdy, S.C. (2014). Transformation of lost segregation cues in hearing devices [Poster]. the 8th International Symposium on Objective Measures in Auditory Implants, October 2014, Toronto, Canada
Pontoppidan, N.H., Vatti, M., Bramsløw, L., Hietkamp, R.K. (2014).Speech recognition with minimal segregation cues[Poster]. the International Hearing Aid Research Conference, IHCON, Tahoe, California.
Hietkamp, R.K., Bramsløw, L., Vatti, M., Pontoppidan, N.H. (2014). Challenges in testing binaural temporal fine structure cues in hearing impaired listeners [Poster]. the Annual Conference of the British Society of Audiology, Keele, UK
Bramsløw, L., Vatti, M., Hietkamp, R.K., Pontoppidan, N.H. (2014). Design of a competing voices test [Poster]. IHCON 2014.
Bramsløw, L., Vatti, M., Hietkamp, R.K., Pontoppidan, N. (2015). Best application of head related transfer functions for competing voices speech recognition in hearing-impaired listeners [Conference Presentation]. International Symposium on Auditory and Audiological Research, ISAAR, August 26-28, Nyborg, Denmark.
Barker, T., Virtanen, T., Pontoppidan, N. (2015). Low-latency sound-source-separation using non-negative matrix factorisation with coupled analysis and synthesis dictionaries [Conference Presentation]. the IEEE InternationalConference on Acoustics Speech and Signal Processing, ICASSP 2015 Brisbane, Australia.
Pontoppidan, N.H. (2015). Audiology for Competing Voices [Conference Presentation]. NTAF-EU 2016, Trondheim, Norway, September.
Mathew, A.K., Purdy, S.C., Welch, D., Pontoppidan, N.H., Rønne, F.M. (2015). Neural Encoding of Speech and Non-speech Sound Contrasts – Effects of Training and Attention [Conference Presentation]. XXIV Biennial Symposium of International Evoked Response Audiometry Study Group, Busan, Korea, May 10-14
Vatti, M., Pontoppidan, N.H., Bramsløw, L. (2015). Phase-lock loop based harmonic extraction for enhanced pitch coding in cochlear implants [Poster]. the 10th Asia Pacific Symposium on Cochlear Implants and Related Sciences, APSCI 2015, Beijing, China, April 30-May 3.
Vatti, M., Bramsløw, L., Hietkamp, R.K., Pontoppidan, N.H. (2015). Hearing impaired speakers of tonal languages may be more affected by noise than speakers of non-tonal languages [Poster]. the 7th Speech in Noise (SpiN) Workshop, Copenhagen, Denmark, January 8-9
Vatti, M., Fráter, A., Huang, T., Segovia-Martínez, M., Pontoppidan, N.H. (2015). Phase-lock loop based harmonic extraction for enhanced pitch coding in cochlear implants [Poster]. the 10th Asia Pacific Symposium on Cochlear Implants and Related Sciences, APSCI 2015, Beijing, China, April 30-May 3.
Bramsløw, L., Vatti, M., Hietkamp, R.K., Pontoppidan, N.H. (2015). Binaural speech recognition for normal-hearing and hearing-impaired listeners in a competing voice test [Poster]. the SpiN workshop in Copenhagen Denmark, January 8-9
Bramsløw, L., Vatti, M., Hietkamp, R.K., Pontoppidan, N.H. (2015). Best application of head related transfer functions for competing voices speech recognition in hearing-impaired listeners [Poster]. International Symposium on Audiological and Auditory Research, ISAAR, Denmark.
Mathew, A. K., Purdy, S. C., Welch, D., Pontoppidan, N. H., & Rønne, F. M. (2016). Electrophysiological and behavioural processing of complex acoustic cues. Clinical Neurophysiology, 127(1), 779–789. https://doi.org/10.1016/j.clinph.2015.04.002
Pontoppidan, N.H., Vatti, M., Rossing, R., Barker, T., Virtanen, T. (2016). Separating known competing voices for people with hearing loss [Workshop Proceedings]. the Speech Processing in Realistic Environments Workshop, SPIRE Workshop, Gronningen, Netherlands, January 2016.
Vatti, M., Pontoppidan, N.H., Rønne, F.M., Mathew, A., Purdy, S. (2016). Measuring benefits from transformation of lost segregation cues in hearing devices with Acoustical Change Complex [Conference presentation]. the 9th International Symposium on Objective Measures in Auditory Implants, OMAI, Szeged, Hungary, June 15-18
Bramsløw, L., Vatti, M., Hietkamp, R.K., Pontoppidan, N.H. (2016). The effect of interleaved dichotic presentation in a competing voices test [Poster]. International Hearing Aid Research Conference, IHCON, Lake Tahoe, California, August 10-14
Bramsløw, L., Vatti, M., Hietkamp, R.K., Pontoppidan, N.H. (2016). A new competing voices test paradigm to test spatial effects and algorithms in hearing aids [Poster]. the International Hearing Aid Research Conference, IHCON, Lake Tahoe, California, USA.
Vatti, M., Bramsløw, L., Pontoppidan, N.H., Rossing, R., Barker, T., Virtanen, T. (2016). Subjective evaluation of a low-latency supervised non-negative matrix factorization algorithm [Poster]. the International Hearing Aid Research Conference, IHCON, Lake Tahoe, California
Naithani, G., Parascandalo, G., Barker, T., Pontoppidan, N.H., Virtanen, T. (2016). Low-Latency Sound Source Separation Using Deep Neural Networks [Conference presentation]. the 2016 IEEE Global Conference on Signal and Information Processing, December 7-9, Greater Washington, D.C, USA.
Tietz, L. H. B., Katrakazas, P., Laplante-Lévesque, A., Pontoppidan, N. H., Koloutsou, N., Spanoudakis, G., & Koutsouris, D. D. (2017). Associations between hearing performance and Physiological Measures – An Overview and outlook. PubMed, 238, 100–103. https://pubmed.ncbi.nlm.nih.gov/28679897
Johansen, B., Petersen, M. K., Korzepa, M. J., Larsen, J., Pontoppidan, N. H., & Larsen, J. E. (2017). 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
King, A., Hopkins, K., Plack, C. J., Pontoppidan, N. H., Bramsløw, L., Hietkamp, R. K., Vatti, M., & Hafez, A. (2017). The effect of tone-vocoding on spatial release from masking for old, hearing-impaired listeners. the Journal of the Acoustical Society of America, 141(4), 2591–2603. https://doi.org/10.1121/1.4979593
Johansen, B., Paul, Y., Maciej, R.F., Sandholm, P., Pontoppidan, N.H., Kai, M., Larsen, J.E. (2017). Hearables in Hearing Care : Discovering Usage Patterns Through IoT Devices. UAHCI 2017: Universal Access in Human-Computer Interaction Human and Technological Environments, pp 39-49. Part of the lecture Notes in Computer Science book series (LNCS, vol. 10279)
Spanoudakis, G., Dimitris, K., Bibas, A., Katrakazas, P., Koutsouris, D., Pontoppidan, N.H. (2017). Public Health Policy for Management of Hearing Impairments Based on Big Data Analytics: EVOTION at Genesis [Conference Proceedings]. the 17th IEEE International Bio-Informatics and Bio-Engineering Conference, Washington D.C., USA, 23-25 October 2017.
Pontoppidan, N.H., Xi, L., Bramsløw, L., Johansen, B., Nielsen, C., Hafez, A., Pedersen, M.K. (2017). Data-Driven Hearing Care with Time Stamped Data-Logging [Conference Proceedings]. of ISAAR 2017, Nyborg, Denmark, 23-25 Aug 2017.
Naithani, G., Barker, T., Parascandolo, G., Bramsløw, L., Pontoppidan, N., Virtanen, T. (2017). Low latency sound source separation using convolutional recurrent neural networks [Conference Proceedings]. the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Mohonk, USA.
Naithani, G., Barker, T., Parascandolo, G., Bramsløw, L., Pontoppidan, N., Virtanen, T. (2017). Evaluation of the benefit of neural network based speech separation algorithms with hearing impaired listeners [Conference Proceedings]. the 1st Int Conference on Challenges in Hearing Assisitve Technology (CHAT-17), Stockholm, Sweden, August 19, 2017.
Bramsløw, L., Vatti, M., Rossing, R., Pontoppidan, N.H. (2017). An improved competing voices test for test of attention [Conference Proceedings]. the ISAAR 2017, Nyborg, Denmark, 23-25 Aug 2017.
Johansen, B., Petersen, M.K., Pontoppidan, N.H., Sandholm, P., Larsen, J.E. (2017). Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns [Conference Proceedings]. the 2017 CHI Conference on Human Factors in Computing Systems. Denver: ACM, pp. 1733-1739
Johansen, B., Petersen, M.K., Pontoppidan, N.H., Sandholm, P., Eg, Larsen, J. (2017). Rethinking hearing aid fitting by learning from behavioral patterns [Conference Proceedings]. Human Factors in Computing Systems (CHI 2017).
Spanoudakis, G., Dimitris, K., Bibas, A., Katrakazas, P., Koutsouris, D., Pontoppidan, N.H. (2017). Public Health Policy for Management of Hearing Impairments Based on Big Data Analytics: EVOTION at Genesis [Conference Proceedings]. the 17th IEEE International Bio-Informatics and Bio-Engineering Conference, Washington D.C., USA, 23-25 October 2017.
Spanoudakis, G., Dimitris, K., Bibas, A., Katrakazas, P., Koutsouris, D., Pontoppidan, N.H. (2017). Evotion Project: Big Data Collection through Hearing Aids towards Public Health Policy Improvement [Conference Proceedings]. the 4th Congress of European ORL. Barcelona, Spain, 2017.
Pontoppidan, N.H. (2017). Objectives and Challenges of ‘EVOTION [Conference Proceedings]. Symposium “Hearing impairment as a significant public health problem” organised at the IX Conference of the Polish Society of Audiology and Phoniatrics, Łódź, Poland, March 2 2017.
Pontoppidan, N.H. (2017). Hearing Aids and Listening in Complex Environments: Intents, Attention, Behaviour, and Processing [Conference Proceedings]. MRC & UCL Ear Institute: Real-world assessment of hearing aids and listening behaviour, UCL Ear Institute, London, UK, October 6.
Pontoppidan, N.H. (2017). Compensation of Hearing Impairment. New Hearing Aid Technology [Conference Proceedings]. Symposium “Hearing impairment as a significant public health problem” organised at the IX Conference of the Polish Society of Audiology and Phoniatrics, Łódź, Poland, March 2.
Hermann, U., Pontoppidan, N.H., Laplante-Lévesque, A. (2017). EVOTION – H2020 Project on Hearing Care, Big Data, and Public Health Policies [Conference Proceedings]. High Tech Summit Copenhagen 2017, September 21, 2017.
Tietz, L.H., Katrakazas, P., Laplante-Lévesque, A., Pontoppidan, N.H., Koloutsou, N., Spanoudakis, G, Koutsouris, D. (2017). Associations Between Hearing Performance and Physiological Measures – An Overview and Outlook [Conference Proceedings]. International Conference on Informatics, Management and Technology in Healthcare, Athens, Greece, 7–9 July 2017.
Laplante-Lévesque, A., Tietz, L., Pontoppidan, N.H. (2017). EVOTION: A European research project generating big data evidence & decision support for public health hearing policies [Conference Proceedings]. Third International Meeting on Internet & Audiology, Louisville, USA, 27–28 July 2017.
Johansen, B., Petersen, M. K., Pontoppidan, N. H., Sandholm, P., & Larsen, J. E. (2017). Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns [Conference Proceedings]. CHI 2017 Denver, Colorado, USA May 6-11 2017.
Johansen, B., Flet-Berliac, Y., Korzepa, M.,Sandholm, P., Pontoppidan, N. H., Petersen, M.K., & Larsen, J. E. (2017). Hearables in Hearing Care : Discovering Usage Patterns Through IoT Devices [Conference Proceedings]. HCII 2017 Vancouver, Canada, July 9-14 2017.
Vatti, M., Bramsløw, L., Pontoppidan, N.H., Naithani, G., Virtanen, T., Backus, B. (2017). Deep neural networks for improving sound segregation in cochlear implant users [Poster]. the Conference on Implantable Auditory Prostheses (CIAP) Lake Tahoe, California, July 16-21 2017.
Naithani, G., Barker, T., Parascandolo, G., Bramsløw, L., Pontoppidan, N., Virtanen, T. (2017). Evaluation of the benefit of neural network based speech separation algorithms with hearing impaired listeners [Poster]. Proc 1st International Conference on Challenges in Hearing Assisitve Technology (CHAT-17), Stockholm, Sweden, August 19, 2017.
Lopez-Poveda, E.A., Johannesen, P.T., Buzo, B.C., Rønne, F.M., Pontoppidan, N.H., Harte, J.M. (2017). On the Value of Brief Sound Audiometry as a Diagnostic Tool for Cochlear Synaptopathy [Poster]. 40th Annual MidWinter Meeting of the of Association for Research in Otolaryngology, Baltimore, MD, US.
Bramsløw, L., Vatti, M., Rossing, R., Pontoppidan, N.H. (2017). An improved competing voices test for test of attention [Poster]. ISAAR 2017, Nyborg, Denmark, 23-25 Aug 2017.
Gutenberg, J., Katrakazas, P., Trenkova, L., Murdin, L., Brdarić, D., Koloutsou, N., Ploumidou, K., Pontoppidan, N. H., & Laplante-Lévesque, A. (2018). Big data for Sound Policies: Toward Evidence-Informed Hearing Health Policies. American Journal of Audiology, 27(3S), 493–502. https://doi.org/10.1044/2018_aja-imia3-18-0003
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
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
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
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).
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.
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.
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.
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.
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.
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.
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.
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
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
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.
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).
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)
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., 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.
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.
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.
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.
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
Pontoppidan, N. H. (2020). The EVOTION project: Preventing deafness and hearing loss.Open Access Government.
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
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
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.
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.
Pontoppidan, N. H. (2020). Hearing compensation with binaural augmentation [Presentation]. The Joint Conference on Binaural And Spatial Hearing (BASH).
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.
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
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
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
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/
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.
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
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).
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).
Pontoppidan, N. H. (2022). Noise exposure form leisure noise compared to other noise sources [Conference presentation]. Music and Hearing Health Workshop.
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). Cochlear Implants & Privacy including synthesized data from models of real users [Conference presentation]. Future Sound Forum.
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.
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). Machine Learning Framework Predicts Audio Settings in Real-World Environments [Conference poster].SPIN.
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.

Projects

Hearing aid preferences for noise reduction and high frequency gain
CURRENT
Hearing aid preferences for noise reduction and high frequency gain
4409

Personalised Audiology

A key challenge for audiologists and hearing aid users during fine-tuning is to find the right balan...
A key challenge for audiologists and hearing aid users during fine-tuning is to find the…
EVOTION
FINALIZED
EVOTION
4409

Personalised Audiology, Artificial Intelligence (AI)

EVOTION was a Horizon 2020 project funded by European Commission with 13 partners running from 2016 ...
EVOTION was a Horizon 2020 project funded by European Commission with 13 partners running from…
Audiological User Pain Points
CURRENT
Audiological User Pain Points
4923,4860,4409

Personalised Audiology

When asking hearing aid users about their challenges, the category hearing in noise most often top t...
When asking hearing aid users about their challenges, the category hearing in noise most often…
Mapping the curve of communication breakdowns during conversations in noise
Current
Mapping the curve of communication breakdowns during conversations in noise
4415,6493,18220,18222

Personalised Audiology

This project aims to determine the curve of communication breakdowns for hearing aid wearers and the...
This project aims to determine the curve of communication breakdowns for hearing aid wearers and…
Forming and Following Auditory Objects
Current
Forming and Following Auditory Objects
18176,1037,18178

Cognitive Hearing Science

This project investigates how the brain represents these auditory objects and how this process is af...
This project investigates how the brain represents these auditory objects and how this process is…
Hearing aid preferences for noise reduction and high frequency gain
CURRENT
Hearing aid preferences for noise reduction and high frequency gain
4409

Personalised Audiology

A key challenge for audiologists and hearing aid users during fine-tuning is to find the right balan...
A key challenge for audiologists and hearing aid users during fine-tuning is to find the…
EVOTION
FINALIZED
EVOTION
4409

Personalised Audiology, Artificial Intelligence (AI)

EVOTION was a Horizon 2020 project funded by European Commission with 13 partners running from 2016 ...
EVOTION was a Horizon 2020 project funded by European Commission with 13 partners running from…
Audiological User Pain Points
CURRENT
Audiological User Pain Points
4923,4860,4409

Personalised Audiology

When asking hearing aid users about their challenges, the category hearing in noise most often top t...
When asking hearing aid users about their challenges, the category hearing in noise most often…

People are our most
valuable source of
insights

Facebook

Instagram

LinkedIn

Youtube

  • Eriksholm Research Centre
  • Rørtangvej 20
  • DK-3070 Snekkersten
  • Denmark
We are a part of Oticon, a world leader in hearing care. We share the same philosophy that people are our main source of insights
Bliv testperson

© 2025 Eriksholm – Designed by Aveo web&marketing