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Research Focus

Keywords

  • Cochlear Implants
  • Auditory Neuroscience
  • Speech Perception
  • Machine Learning
  • Psychoacoustics
  • Clinical Conditions

  • Hearing and balance deficits
  • Equipment & Techniques

  • Behavioural analysis
  • Computational modelling
  • Electroencephalography (EEG)
  • Science Culture

  • Equality, Diversity, Inclusion and Wellbeing
  • Open Access
  • Public Outreach
  • Industry Engagement
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    Dr Tobias Goehring

    (he/him/his)
    University Position
    Senior Research Associate

    Interests

    My focus lies on improving auditory perception for people with hearing loss in everyday life, and especially in difficult listening situations. I combine techniques from Psychology, Engineering, Auditory Neuroscience and Machine Learning to improve Medical Hearing Devices such as Cochlear Implants and Hearing Aids. My research spans from the development of speech processing strategies to the evaluation with listening experiments with the target audience. I hold a 5-year Fellowship (Career Development Award) from the Medical Research Council UK and lead the Deep Hearing Lab: www.deephearinglab.com

    Key Publications

    The Panoramic ECAP Method: Estimating Patient-Specific Patterns of Current Spread and Neural Health in Cochlear Implant Users.

    DOI: http://doi.org/10.1007/s10162-021-00795-2
    Journal: J Assoc Res Otolaryngol
    E-pub date: 1 Oct 2021
    Authors: C Garcia, T Goehring, S Cosentino, RE Turner, JM Deeks, T Brochier, T Rughooputh, M Bance, RP Carlyon

    Cochlear Implant Research and Development in the Twenty-first Century: A Critical Update.

    DOI: http://doi.org/10.1007/s10162-021-00811-5
    Journal: J Assoc Res Otolaryngol
    E-pub date: 1 Oct 2021
    Authors: RP Carlyon, T Goehring

    The effect of increased channel interaction on speech perception with cochlear implants.

    DOI: http://doi.org/10.1038/s41598-021-89932-8
    Journal: Sci Rep
    E-pub date: 17 May 2021
    Authors: T Goehring, AW Archer-Boyd, JG Arenberg, RP Carlyon

    Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users.

    DOI: http://doi.org/10.1016/j.heares.2016.11.012
    Journal: Hear Res
    E-pub date: 1 Feb 2017
    Authors: T Goehring, F Bolner, JJM Monaghan, B van Dijk, A Zarowski, S Bleeck

    Publications

    An online implementation of a measure of spectro-temporal processing by cochlear-implant listeners.

    DOI: http://doi.org/10.1121/10.0016838
    Journal: JASA Express Lett
    E-pub date: 1 Jan 2023
    Authors: AW Archer-Boyd, A Harland, T Goehring, RP Carlyon

    Effects of spectral degradation on the cortical tracking of the speech envelope

    DOI: http://doi.org/10.21437/Interspeech.2023-1776
    Journal: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
    E-pub date: 1 Jan 2023
    Authors: AD MacIntyre, T Goehring

    Perceptual Analysis of Speaker Embeddings for Voice Discrimination between Machine And Human Listening

    DOI: http://doi.org/10.1109/ICASSP49357.2023.10094782
    Journal: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    E-pub date: 1 Jan 2023
    Authors: I Thoidis, C Gaultier, T Goehring

    Joint compensation of multi-talker noise and reverberation for speech enhancement with cochlear implants using one or more microphones

    DOI: http://doi.org/10.21437/Interspeech.2023-975
    Journal: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
    E-pub date: 1 Jan 2023
    Authors: C Gaultier, T Goehring

    From Microphone to Phoneme: An End-to-End Computational Neural Model for Predicting Speech Perception With Cochlear Implants.

    DOI: http://doi.org/10.1109/TBME.2022.3167113
    Journal: IEEE Trans Biomed Eng
    E-pub date: 1 Nov 2022
    Authors: T Brochier, J Schlittenlacher, I Roberts, T Goehring, C Jiang, D Vickers, M Bance

    An Instrumented Cochlea Model for the Evaluation of Cochlear Implant Electrical Stimulus Spread.

    DOI: http://doi.org/10.1109/TBME.2021.3059302
    Journal: IEEE Trans Biomed Eng
    E-pub date: 1 Jul 2021
    Authors: C Jiang, S Singhal, T Landry, I Roberts, S de Rijk, T Brochier, T Goehring, Y Tam, R Carlyon, G Malliaras, M Bance

    A Site-Selection Strategy Based on Polarity Sensitivity for Cochlear Implants: Effects on Spectro-Temporal Resolution and Speech Perception.

    DOI: http://doi.org/10.1007/s10162-019-00724-4
    Journal: J Assoc Res Otolaryngol
    E-pub date: 31 Aug 2019
    Authors: T Goehring, A Archer-Boyd, JM Deeks, JG Arenberg, RP Carlyon

    Electro-haptic enhancement of speech-in-noise performance in cochlear implant users.

    DOI: http://doi.org/10.1038/s41598-019-47718-z
    Journal: Sci Rep
    E-pub date: 6 Aug 2019
    Authors: MD Fletcher, A Hadeedi, T Goehring, SR Mills

    Use of a Deep Recurrent Neural Network to Reduce Wind Noise: Effects on Judged Speech Intelligibility and Sound Quality.

    DOI: http://doi.org/10.1177/2331216518770964
    Journal: Trends Hear
    E-pub date: 1 Aug 2018
    Authors: M Keshavarzi, T Goehring, J Zakis, RE Turner, BCJ Moore

    Tolerable delay for speech production and perception: effects of hearing ability and experience with hearing aids.

    DOI: http://doi.org/10.1080/14992027.2017.1367848
    Journal: Int J Audiol
    E-pub date: 1 Jan 2018
    Authors: T Goehring, JL Chapman, S Bleeck, JJM Monaghan

    Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners.

    DOI: http://doi.org/10.1121/1.4977197
    Journal: J Acoust Soc Am
    E-pub date: 1 Mar 2017
    Authors: JJM Monaghan, T Goehring, X Yang, F Bolner, S Wang, MCM Wright, S Bleeck