• 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.

  • Goehring, T., Archer-Boyd, A., Arenberg, J., Carlyon, RP. (2021). The effect of increased channel interaction on speech perception with cochlear implants. Scientific Reports.

  • Garcia, C., Goehring, T., Cosentino, S., Turner, R. E., Deeks, J. M., Brochier, T., ... & 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.

  • 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.


  • 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,

  • 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.

  • 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.


  • 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.

  • 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.

  • 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.

  • 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.


  • 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.

  • 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.

  • 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.


  • 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.

  • 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.


  • 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.