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Lars Bramsløv

Lars Bramsløw

Principal Scientist

“I think I look at this from a very global perspective. I hope science can provide a better quality of life for all of us. I just hope that we can control it, with all this talk about artificial intelligence and machine learning. And I hope we can reach our goals in a way that is ethical and sustainable. I do not subscribe to an idea of a singular science, such as self-driving cars saving the world. It will have to be a mix of many different efforts in different industries.”

What do you do at Eriksholm?

I am a Principal Scientist here. Given my broad experience I take part in many projects as consultant, but I also want to get my hands dirty, so to speak: I also love doing my own research. I think my dream – or my motivation – most times, is making the world’s best hearing aid. That is what I strive for.

What do you do at Eriksholm?

I am a Principal Scientist here. Given my broad experience I take part in many projects as consultant, but I also want to get my hands dirty, so to speak: I also love doing my own research. I think my dream – or my motivation – most times, is making the world’s best hearing aid. That is what I strive for.

How long have you worked here?

I came here in 1991 and did my PhD in sound quality in hearing aids, predicting or modelling sound quality in hearing aids. After that, I left the company for a few years to do other things on Danish Radio among other ventures. In 2000, I came back to the Oticon headquarters, and worked with audiology and development of algorithms for hearing aids. In 2012 I got to a point where I wanted to work more independently and more in-depth and was fortunate enough to be able to transfer to Eriksholm Research Centre. I have been here ever since.

How long have you worked here?

I came here in 1991 and did my PhD in sound quality in hearing aids, predicting or modelling sound quality in hearing aids. After that, I left the company for a few years to do other things on Danish Radio among other ventures. In 2000, I came back to the Oticon headquarters, and worked with audiology and development of algorithms for hearing aids. In 2012 I got to a point where I wanted to work more independently and more in-depth and was fortunate enough to be able to transfer to Eriksholm Research Centre. I have been here ever since.

Tell us about some of the projects and studies you have participated in.

I started out working mostly in an area called “the Enigma project”. It was primarily a research project in temporal fine structure, which is – in other words – the pitch of your voice or the pitch of a melody. Things like that are contained in the temporal fine structure, and people with hearing loss have great difficulty using and discerning this pitch. I was also somewhat involved in binaural hearing projects, and binaural algorithms, which is how you combine the processing of two hearing devices to get the full benefit of the soundscape around you. I also created the competing voice test, to test how difficult speech segregation is for hearing impaired people and how advanced signal processing may help. So that material is public now and is being used in many areas of the hearing research industry. These days I spend most of my time working with deep neural networks. That is, using machine learning to solve the users’ challenges when listening to multiple people talking at the same time, known as ‘competing voices’. We have made important publications in this field. That connects loosely to my early work, I suppose, as it is the same problem, we are trying to solve but using very different techniques.

Tell us about some of the projects and studies you have participated in.

I started out working mostly in an area called “the Enigma project”. It was primarily a research project in temporal fine structure, which is – in other words – the pitch of your voice or the pitch of a melody. Things like that are contained in the temporal fine structure, and people with hearing loss have great difficulty using and discerning this pitch. I was also somewhat involved in binaural hearing projects, and binaural algorithms, which is how you combine the processing of two hearing devices to get the full benefit of the soundscape around you. I also created the competing voice test, to test how difficult speech segregation is for hearing impaired people and how advanced signal processing may help. So that material is public now and is being used in many areas of the hearing research industry. These days I spend most of my time working with deep neural networks. That is, using machine learning to solve the users’ challenges when listening to multiple people talking at the same time, known as ‘competing voices’. We have made important publications in this field. That connects loosely to my early work, I suppose, as it is the same problem, we are trying to solve but using very different techniques.

What do you like the most about working at Eriksholm Research Centre?

I think what motivated me to come to Eriksholm, was that I wanted to have more freedom to operate, and more time for contemplation. So, I appreciate having this freedom to decide every day, in which order I do my tasks, and how much time I invest in them. In that sense I can really plan my own work and decide what is important to our goals, and what is less important. Add to that the fact that we are not working with short-term or product-focused deadlines, which allows us to really think big, and allows us to be very creative and visionary in our work.

What do you like the most about working at Eriksholm Research Centre?

I think what motivated me to come to Eriksholm, was that I wanted to have more freedom to operate, and more time for contemplation. So, I appreciate having this freedom to decide every day, in which order I do my tasks, and how much time I invest in them. In that sense I can really plan my own work and decide what is important to our goals, and what is less important. Add to that the fact that we are not working with short-term or product-focused deadlines, which allows us to really think big, and allows us to be very creative and visionary in our work.

What are the three most important values in your life?

Responsibility – Being responsible is important. Both being responsible towards myself, and towards other people. I want to be perceived as a loyal, trustworthy person.

Making the most of it – This is something I live by every day. I think it is important to make the most of every day I get. Sometimes I quote the Danish singer Thomas Helmig, who said “Basically I’m here to have a good time.”

Creation – I am a creative, productive person. So, to create something and leave a footprint somehow, whether it be with my family, my home or my work, is very important to me. To leave a footprint of some kind, in other words. I can’t help it, somehow. I must create things.

What are the three most important values in your life?

Responsibility – Being responsible is important. Both being responsible towards myself, and towards other people. I want to be perceived as a loyal, trustworthy person.

Making the most of it – This is something I live by every day. I think it is important to make the most of every day I get. Sometimes I quote the Danish singer Thomas Helmig, who said “Basically I’m here to have a good time.”

Creation – I am a creative, productive person. So, to create something and leave a footprint somehow, whether it be with my family, my home or my work, is very important to me. To leave a footprint of some kind, in other words. I can’t help it, somehow. I must create things.

What do you hope will happen in future science?

I think I look at this from a very global perspective. I hope science can provide a better quality of life for all of us. I just hope that we can control it, with all this talk about artificial intelligence and machine learning. And I hope we can reach our goals in a way that is ethical and sustainable. I do not subscribe to an idea of a singular science, such as self-driving cars saving the world. It will have to be a mix of many different efforts in different industries.

What do you hope will happen in future science?

I think I look at this from a very global perspective. I hope science can provide a better quality of life for all of us. I just hope that we can control it, with all this talk about artificial intelligence and machine learning. And I hope we can reach our goals in a way that is ethical and sustainable. I do not subscribe to an idea of a singular science, such as self-driving cars saving the world. It will have to be a mix of many different efforts in different industries.

What is the most exciting scientific breakthrough in your lifetime?

On a professional level, I have to say the invention of the transistor, and then the chip. The chip is the basis for everything we have done since, in both computers, hearing aids, cameras, and just about everything else. Of course, there is also the internet and everything it has brought with it. I think that was such a game-changer. If I look back at how it used to be when I got my first engineering job in Los Angeles thirty years ago, all I could do to reach my family was writing letters or calling on the phone. To imagine that today, that you could not just make a video call or send an e-mail, is almost incomprehensible to my kids for example. Another more recent thing is the fact that we now have the tools to explore the universe beyond our own solar system and even discover new planets there. I mean, it has a lot to do with both chips and the internet, but when I was a child, we had just put the first man on the moon, so the speed at which space exploration has developed is just amazing.

What is the most exciting scientific breakthrough in your lifetime?

On a professional level, I have to say the invention of the transistor, and then the chip. The chip is the basis for everything we have done since, in both computers, hearing aids, cameras, and just about everything else. Of course, there is also the internet and everything it has brought with it. I think that was such a game-changer. If I look back at how it used to be when I got my first engineering job in Los Angeles thirty years ago, all I could do to reach my family was writing letters or calling on the phone. To imagine that today, that you could not just make a video call or send an e-mail, is almost incomprehensible to my kids for example. Another more recent thing is the fact that we now have the tools to explore the universe beyond our own solar system and even discover new planets there. I mean, it has a lot to do with both chips and the internet, but when I was a child, we had just put the first man on the moon, so the speed at which space exploration has developed is just amazing.

What do you do in your spare time?

Well, I am very active, for one. I swim, run, and bike at every chance I get and hence compete in Triathlons. I have completed two full Ironman races, and there is more, perhaps shorter, racing to come. So, I really like that, and spend a lot of time with a local club in Elsinore, which shares that interest. I came from cycling primarily, so that is also something I really like. Particularly cycling in the mountains; all over Southern Europe. But you can see me commuting to Eriksholm by bike year-round, regardless of the weather, this is also saving our environment. And then I’m quite a handyman, so I also enjoy building and crafting things at home, where I also get to hang out with my wife and two adult daughters.

What do you do in your spare time?

Well, I am very active, for one. I swim, run, and bike at every chance I get and hence compete in Triathlons. I have completed two full Ironman races, and there is more, perhaps shorter, racing to come. So, I really like that, and spend a lot of time with a local club in Elsinore, which shares that interest. I came from cycling primarily, so that is also something I really like. Particularly cycling in the mountains; all over Southern Europe. But you can see me commuting to Eriksholm by bike year-round, regardless of the weather, this is also saving our environment. And then I’m quite a handyman, so I also enjoy building and crafting things at home, where I also get to hang out with my wife and two adult daughters.

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.

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Kramer, S. E., Bhuiyan, T., Bramsløw, L., Fiedler, L., Graversen, C., Hadley, L. V., Innes-Brown, H., Naylor, G., Richter, M., Saunders, G. H., Versfeld, N. J., Wendt, D., Whitmer, W. M.,  Zekveld, A. A. (2017). Innovative Hearing Aid Research on Ecological Conditions and Outcome Measures: The HEAR-ECO Project.
Bramsløw, L. (2004). An objective estimate of the perceived quality of reproduced sound in normal and impaired hearing. Acta acustica, 90(6), p. 1007-1018.
Bramsløw, L. (2010). Preferred signal path delay and high-pass cut-off in open fittings. International Journal of Audiology, 49(9), 634–644. https://doi.org/10.3109/14992021003753482
Bramsløw, L., Eneroth, K., Lunner, T., Schulte, M. (2012). Individual hearing aid performance for equal hearing loss in simple and complex listening situations and its relation to various screening measures [Poster]. the International Hearing Aid Research Conference, IHCON. Lake Tahoe, California, 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
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.
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
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.
Bramsløw, L., Simonsen, L.B., Hichou, M., Hashem, R., Hietkamp, R.K. (2016). Learning Effects as result of multiple exposures to Danish HINT [Poster]. International Hearing Aid Research Conference, IHCON, Lake Tahoe, California, August 10-14
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
Simonsen, L.B., Hietkamp, R.K., Bramsløw, L. (2016). Learning effects of repeated exposure to Hearing in Noise Test [Poster]. the Annual Conference of the British Society of Audiology, Coventry, UK, April 25-27
Lundbeck, M., Hartog, L., Grimm, G., Hohmann, V., Bramsløw, L., Neher, T. (2016). Influence of multi-microphone hearing aid algorithms on source movement detection [Conference presentation]. the International Hearing Aid Research Conference 2016, IHCON, Lake Tahoe, California, August 10-14
Lochner, J., Santurette, S., MacDonald, E., Bramsløw, L. (2016). Effect of low-frequency gain on speech intelligibility in hearing-impaired listeners [Conference presentation]. the International Hearing Aid Research Conference 2016, IHCON, Lake Tahoe, California, August 10
Holm, M.E., Bramsløw, L., Henrichsen, P.J. (2016). The Influence of Vowel Quality on Stream Segregation of Synthetic Vowels [Poster]. the International Hearing Aid Research Conference 2016, IHCON, Lake Tahoe, California, August 10-14.
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
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.
Janßen, N., Bramsløw, L., Riis, S., Marozeau, J. (2017). The scale illusion detection task: Objective assessment of binaural fusion in normal-hearing listeners [Conference Proceedings]. the International Symposium on Auditory and Audiological Research (Proc. ISAAR), Vol. 6, August 2017, Nyborg, Denmark.
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.
Janßen, N., Bramsløw, L., Riis, S., Marozeau, J. (2017). The scale illusion detection task: Objective assessment of binaural fusion in normal-hearing listeners [Poster]. ISAAR 2017, Nyborg, Denmark, 23-25 Aug 2017.
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.
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
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
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.
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).
Bramsløw, L. (2018). Segregation benefit from deep neural networks assessed via speech recognition and physiological measures [Presentation]. IHCON 2018, USA, August 15-19.
Bramsløw, L. (2018). Segregation enhancement for hearing impaired listeners using a deep neural networks separation algorithm [Presentation]. SPiN 2018, Glasgow, 11-12 January 2018.
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.
Bramsløw, L. (2018). Segregation enhancement for hearing impaired listeners using a deep neural networks separation algorithm [Presentation]. SPiN 2018, Glasgow, 11-12 January.
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
Abigail, Anne, Kressner, Bramsløw, L. (2021). Danish Sentence Test Project.
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
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
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., 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.
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.
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
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.
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
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.
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.
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.
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
Bramsløw, L., & Beck, D. (2021). Deep Neural Networks in Hearing Devices. Hearing Review, 28(1), 24-26.
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).
Bramsløw, L., Naithani, G., Virtanen. T. (2022). Deep Neural Networks for speech enhancement in noise [Conference proceedings]. Speech in Noise (SPIN).
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).
Bramsløw, L., Naithani. G., Virtanen, T. (2022). DNN for voice and noise separation for HI listeners [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.
Bramsløw, L., Naithani, G., Virtanen, T. (2022). Deep Neural Networks for speech enhancement in noise [Conference poster]. Speech in Noise (SPIN).

Projects

Individualized hearing loss compensation via auditory models and deep neural networks
CURRENT
Individualized hearing loss compensation via auditory models and deep neural networks
7622,4459,7625

Personalised Audiology, Artificial Intelligence (AI)

Compensating for hearing loss by providing amplification specific to the hearing loss is the core fu...
Compensating for hearing loss by providing amplification specific to the hearing loss is the core…
Preferred settings in hearing devices
CURRENT
Preferred settings in hearing devices
4459

Personalised Audiology

Modern hearing aids contain many advanced signal processing features to obtain the best possible end...
Modern hearing aids contain many advanced signal processing features to obtain the best possible end…
HearEco: Innovative Hearing Aid Research – Ecological Conditions and Outcome Measures 
FINALIZED
Hear-Eco: Innovative Hearing Aid Research – Ecological Conditions and Outcome Measures 
3008,1037

Cognitive Hearing Science

In today’s aging European population, hearing impairment is an increasing concern for public healt...
In today’s aging European population, hearing impairment is an increasing concern for public health and…
Ecophysiology of Hearing 
CURRENT
Ecophysiology of Hearing 
10303

Personalised Audiology

It is currently not possible to objectively measure and evaluate hearing outcomes in daily life. Th...
It is currently not possible to objectively measure and evaluate hearing outcomes in daily life….
Deep Neural Networks
FINALIZED
Deep Neural Networks for speaker separation and speech enhancement 
4459

Personalised Audiology, Artificial Intelligence (AI)

The healthy ear is fantastic and allows us to focus on particular talkers and messages in even very ...
The healthy ear is fantastic and allows us to focus on particular talkers and messages…
Danish Sentence Test  
FINALIZED
Danish Sentence Test  
4459,7273,7276,7285

Personalised Audiology

Many research and development projects in the fields of speech and hearing sciences rely heavily on ...
Many research and development projects in the fields of speech and hearing sciences rely heavily…
noise reduction, timbre, and compressive settings
FINALIZED
Understanding the impact of noise reduction, timbre, and compressive settings in hearing aids in the laboratory and simulated VR environments
4409,4552

Personalised Audiology

While hearing aid users often have their devices fine-tuned in the clinic with prescribed settings, ...
While hearing aid users often have their devices fine-tuned in the clinic with prescribed settings,…
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…
EASY LISTENING: Optimizing the consequences of effortful listening in occupational settings
CURRENT
EASY LISTENING: Optimizing the Consequences of Effortful Listening in Occupational Settings
3008,1037

Cognitive Hearing Science, Personalised Audiology

The project aims to train a new generation of entrepreneurial scientists skilled in using interdisci...
The project aims to train a new generation of entrepreneurial scientists skilled in using interdisciplinary…
Individualized hearing loss compensation via auditory models and deep neural networks
CURRENT
Individualized hearing loss compensation via auditory models and deep neural networks
7622,4459,7625

Personalised Audiology, Artificial Intelligence (AI)

Compensating for hearing loss by providing amplification specific to the hearing loss is the core fu...
Compensating for hearing loss by providing amplification specific to the hearing loss is the core…
Preferred settings in hearing devices
CURRENT
Preferred settings in hearing devices
4459

Personalised Audiology

Modern hearing aids contain many advanced signal processing features to obtain the best possible end...
Modern hearing aids contain many advanced signal processing features to obtain the best possible end…
HearEco: Innovative Hearing Aid Research – Ecological Conditions and Outcome Measures 
FINALIZED
Hear-Eco: Innovative Hearing Aid Research – Ecological Conditions and Outcome Measures 
3008,1037

Cognitive Hearing Science

In today’s aging European population, hearing impairment is an increasing concern for public healt...
In today’s aging European population, hearing impairment is an increasing concern for public health and…
Ecophysiology of Hearing 
CURRENT
Ecophysiology of Hearing 
10303

Personalised Audiology

It is currently not possible to objectively measure and evaluate hearing outcomes in daily life. Th...
It is currently not possible to objectively measure and evaluate hearing outcomes in daily life….
Deep Neural Networks
FINALIZED
Deep Neural Networks for speaker separation and speech enhancement 
4459

Personalised Audiology, Artificial Intelligence (AI)

The healthy ear is fantastic and allows us to focus on particular talkers and messages in even very ...
The healthy ear is fantastic and allows us to focus on particular talkers and messages…
Danish Sentence Test  
FINALIZED
Danish Sentence Test  
4459,7273,7276,7285

Personalised Audiology

Many research and development projects in the fields of speech and hearing sciences rely heavily on ...
Many research and development projects in the fields of speech and hearing sciences rely heavily…
noise reduction, timbre, and compressive settings
FINALIZED
Understanding the impact of noise reduction, timbre, and compressive settings in hearing aids in the laboratory and simulated VR environments
4409,4552

Personalised Audiology

While hearing aid users often have their devices fine-tuned in the clinic with prescribed settings, ...
While hearing aid users often have their devices fine-tuned in the clinic with prescribed settings,…

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