Publications

2024

• Shahidi, L., Carlyon, R. P., Vickers, D., & Goehring, T. (2024). An evaluation of the Temporal Integrator Processing Strategy for cochlear implants in realistic listening conditions. Preprint (not peer-reviewed yet). doi.org/10.31234/osf.io/jhv9q

• Garcia, C., Morse-Fortier, C., Guerit, F., Hislop, S., Goehring, T., Carlyon, R. P., & Arenberg, J. G. (2024). Investigating the effect of blurring and focusing current in cochlear implant users with the Panoramic ECAP method. JARO. doi.org/10.1007/s10162-024-00966-x

• MacIntyre, A. D., Carlyon, R. P., & Goehring, T. (2024). Neural decoding of the speech envelope: Effects of intelligibility and spectral degradation. Trends in Hearing, 28, 23312165241266316. doi.org/10.1177/23312165241266316

• Thoidis, I., & Goehring, T. (2024). Using deep learning to improve the intelligibility of a target speaker in noisy multi-talker environments for people with normal hearing and hearing loss. The Journal of the Acoustical Society of America, 156(1), 706-724. doi.org/10.1121/10.0028007

• Gaultier, C., & Goehring, T. (2024). Recovering speech intelligibility with deep learning and multiple microphones in noisy-reverberant situations for people using cochlear implants. The Journal of the Acoustical Society of America, 155(6), 3833-3847. doi.org/10.1121/10.0026218

• Fletcher, M. D., Perry, S. W., Thoidis, I., Verschuur, C. A., & Goehring, T. (2024). Improved tactile speech robustness to background noise with a dual-path recurrent neural network noise-reduction method. Scientific Reports, 14(1), 7357. doi.org/10.1038/s41598-024-57312-7

• MacIntyre, A. D., Carlyon, R. P., & Goehring, T. (2024). Neural decoding of the speech envelope: Effects of intelligibility and spectral degradation. bioRxiv, 2024-02. Preprint (not peer-reviewed yet). doi.org/10.1101/2024.02.20.581129

• Garcia, C., Morse-Fortier, C., Guerit, F., Hislop, S., Goehring, T., Carlyon, R. P., & Arenberg, J. G. (2024). Investigating the effect of blurring and focusing current in cochlear implant users with the Panoramic ECAP method. Preprint (not peer-reviewed yet). doi.org/10.31234/osf.io/ka5ru

2023

• Gaultier, C & Goehring, T. (2023). Recovering speech intelligibility with deep learning and multiple microphones in noisy-reverberant situations for people using cochlear implants. Preprint (not peer-reviewed yet). doi.org/10.31234/osf.io/5e2mu

• Thoidis, I., & Goehring, T. (2023). A deep learning algorithm for target speaker extraction to improve speech intelligibility in noisy multi-talker environments. Preprint (not peer-reviewed yet). doi.org/10.31234/osf.io/qvdex

• Fletcher, M. D., Perry, S. W., Thoidis, I., Verschuur, C. A., & Goehring, T. (2023). Improved tactile speech robustness to background noise with a dual-path recurrent neural network noise-reduction strategy. Preprint (not peer-reviewed yet). doi.org/10.21203/rs.3.rs-3395475/v1

• Gaultier, C., Goehring, T. (2023). Joint compensation of multi-talker noise and reverberation for speech enhancement with cochlear implants using one or more microphones. INTERSPEECH 2023. 3497-3501. doi: 10.21437/Interspeech.2023-975

• MacIntyre, A. D., Goehring, T. (2023). Effects of spectral degradation on the cortical tracking of the speech envelope. INTERSPEECH 2023, 5187-5191. doi: 10.21437/Interspeech.2023-1776

• Thoidis, I., Gaultier, C., Goehring, T. (2023). Perceptual analysis of speaker embeddings for voice discrimination between machine and human listening. ICASSP 2023. doi.org/10.1109/ICASSP49357.2023.10094782

• Archer-Boyd, A., Harland, A., Goehring T., Carlyon, RP. (2023). An online implementation of a measure of spectro-temporal processing by cochlear-implant listeners. JASA-EL. doi.org/10.1121/10.0016838

2022

• Garcia, C., Deeks, JM., Goehring, T., Borsetto, D., Bance, M., Carlyon, RP. (2022). SpeedCAP: An Efficient Method for Estimating Neural Activation Patterns Using Electrically-Evoked Compound Action-Potentials in Cochlear Implant Users. Ear and Hearing. doi.org/10.1097/AUD.0000000000001305

• Brochier, T., Schlittenlacher, J., Roberts, I., Goehring, T., Jiang, C., Vickers, D., Bance, M. (2022). From Microphone to Phoneme: An End-to-End Computational Neural Model for Predicting Speech Perception with Cochlear Implants. IEEE Transactions on Biomedical Engineering. doi.org/10.1109/TBME.2022.3167113

• Goehring, T., Monaghan, J. (2022). Helping people hear better with "smart" hearing devices. Frontiers for Young Minds. doi.org/10.3389/frym.2022.703643

2021

• Carlyon, RP., Goehring, T. (2021). Cochlear implant research and development in the 21st century: A critical update. Journal of the Association for Research in Otolaryngology. doi.org/10.1007/s10162-021-00811-5

• Goehring, T., Archer-Boyd, A., Arenberg, J., Carlyon, RP. (2021). The effect of increased channel interaction on speech perception with cochlear implants. Scientific Reports. doi.org/10.1038/s41598-021-89932-8

• Garcia, C., Goehring, T., Cosentino, S., ... & Carlyon, RP. (2021). The panoramic ECAP method: estimating patient-specific patterns of current spread and neural health in cochlear implant users. Journal of the Association for Research in Otolaryngology, 1-23. doi.org/10.1007/s10162-021-00795-2

• Jiang, C., Singhal, S., Landry, T., Roberts, I., De Rijk, S., Brochier, T., Goehring, T., ... & Malliaras, G. (2021). An instrumented cochlea model for the evaluation of cochlear implant electrical stimulus spread. IEEE Transactions on Biomedical Engineering. doi.org/10.1109/TBME.2021.3059302

2020

• Archer-Boyd, A., Goehring, T., Carlyon, RP. (2020). The effect of free-field presentation and processing strategy on a measure of spectro-temporal processing by cochlear-implant listeners. Trends in Hearing, doi.org/10.1177%2F2331216520964281

• Goehring, T., Arenberg, J., Carlyon, RP. (2020). Using spectral blurring to assess effects of channel interaction on speech-in-noise perception with cochlear implants. Journal of the Association for Research in Otolaryngology. doi.org/10.1007/s10162-020-00758-z

• Lamping, W., Goehring, T., Marozeau, J., Carlyon, RP. (2020). The effect of a coding strategy that removes temporally masked pulses on speech perception by cochlear implant users. Hearing Research, 391, 107969. doi.org/10.1016/j.heares.2020.107969

2019

• Goehring, T., Keshavarzi, M., Carlyon, RP., Moore, B. (2019). Using recurrent neural networks to improve the perception of speech in non-stationary noise by people with cochlear implants. The Journal of the Acoustical Society of America, 146(1), 705-718. doi.org/10.1121/1.5119226

• Goehring, T., Archer-Boyd, A., Deeks, J., Arenberg, J., Carlyon, RP. (2019). A site-selection strategy based on polarity sensitivity for cochlear implants: effects on spectro-temporal resolution and speech perception. Journal of the Association for Research in Otolaryngology, 1-18.  doi.org/10.1007/s10162-019-00724-4

• Fletcher, M., Hadeedi, A., Goehring, T., Mills, S. (2019). Electro-haptic hearing: speech-in-noise performance in cochlear implant users is enhanced by tactile stimulation of the wrists. Scientific Reports, 9(1), 1-8. doi.org/10.1038/s41598-019-47718-z

• Keshavarzi, M., Goehring, T., Turner, R., Moore, B. (2019). Comparison of effects on subjective intelligibility and quality of speech in babble for two algorithms: a deep recurrent Neural network and spectral subtraction. The Journal of the Acoustical Society of America, 145(3), 1493-1503. doi.org/10.1121/1.5094765

2018

• Fletcher, M., Mills, S., Goehring, T. (2018). Vibro-tactile enhancement of speech intelligibility in multi-talker noise for simulated cochlear implant listening. Trends in Hearing, 22. doi.org/10.1177%2F2331216518797838

• Keshavarzi, M., Goehring, T., Zakis, Z., Turner, R., Moore, B. (2018). Use of a deep recurrent neural network to reduce wind noise: effects on judged speech intelligibility and sound quality. Trends in Hearing, 22. doi.org/10.1177%2F2331216518770964

• Goehring, T., Chapman, J., Bleeck, S., Monaghan, J. (2018). Tolerable delay for speech production and perception: effects of hearing ability and experience with hearing aids. International Journal of Audiology, 57(1), 61-68.  doi.org/10.1080/14992027.2017.1367848

2017

• Monaghan, J., Goehring, T., Yang, X., Bolner, F., Wang, S., Bleeck, S. (2017). Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners. The Journal of the Acoustical Society of America, 141(3), 1985-1998. doi.org/10.1121/1.4977197

• Goehring, T., Bolner, F., Monaghan, J., Van Dijk, B., Zarowski, A., Bleeck, S. (2017). Speech Enhancement Based on Neural Networks Improves Speech Intelligibility in Noise for Cochlear Implant Users. Hearing Research, 344, 183-194. doi.org/10.1016/j.heares.2016.11.012

2016

• Goehring, T., Yang, X., Monaghan, J., Bleeck, S. (2016). Speech enhancement for hearing-impaired listeners using deep neural networks with auditory-model based features. In 2016 EURASIP 24th European Signal Processing Conference (EUSIPCO) (pp. 2300-2304), Hungary. IEEE.

• Bolner, F., Goehring, T., Monaghan, J., Van Dijk, B., Wouters, J., Bleeck, S. (2016). Speech enhancement based on neural networks applied to cochlear implant coding strategies. In 2016 IEEE Intern. Conf. on Acoustics, Speech and Signal Processing (ICASSP), China. IEEE.