Tom Gajecki

ResearchGate

Research employee

Research and Interests

• Binaural hearing
• Audio signal processing
• Deep learning
• Music perception

Funding:

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy EXC 2177/1 'Hearing4all'

Publications:

• T. Gajecki, W. Nogueira. A Fused Deep Denoising Sound Coding Strategy for Bilateral Cochlear Implants. IEEE Transactions on Biomedical Engineering, 2023. (Under review)

• J. Althoff, T. Gajecki, W. Nogueira. Remixing Preferences for Instrumental Classical Music of Bilateral Cochlear Implant Users. Trends in Hearing, 2023. (Under review)

• T. Gajecki, W. Nogueira. Deep Latent Fusion Layers for Binaural Speech Enhancement. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.

• T. Gajecki, Y. Zhang, W. Nogueira. A Deep Denoising Sound Coding Strategy for Cochlear Implants. IEEE Transactions on Biomedical Engineering, 2023.

• T. Gajecki, W. Nogueira. An End-to-End Deep Learning Speech Coding and Denoising Strategy for Cochlear Implants. International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022.

• T. Gajecki, W. Nogueira. Enhancement of Interaural Level Differences for Bilateral Cochlear Implant Users. Hearing Research, 2021.

• R. Hinrichs, T. Gajecki, J. Ostermann, W. Nogueira. A Subjective and Objective Evaluation of a Codec for the Electrical Stimulation Patterns of Cochlear Implants. The Journal of the Acoustical Society of America, 2020.

• T. Gajecki, W. Nogueira. The Effect of Synchronized Linked Band Selection on Speech Intelligibility of Bilateral Cochlear Implant Users. Hearing Research, 2020.

• S. Tahmasebi, T. Gajecki, W. Nogueira. Design and Evaluation of a Real-Time Audio Source Separation Algorithm to Remix Music for Cochlear Implant Users. Frontiers in Neuroscience, 2020.

• R. Hinrichs, T. Gajecki, J. Ostermann, W. Nogueira. Coding of Electrical Stimulation Patterns for Binaural Sound Coding Strategies for Cochlear Implants. IEEE EMBC, 2019.

• T. Gajecki, W. Nogueira. A Synchronized Binaural N-of-M Sound Coding Strategy to Improve Speech Intelligibility in Noise of Bilateral Cochlear Implant Users. ITG Speech Communication, 2018.

• T. Gajecki, W. Nogueira. Deep Learning Models to Remix Music for Cochlear Implant Users. The Journal of the Acoustical Society of America, 2018.

• W. Nogueira, T. Gajecki, B. Krüger, J. Janer, A. Büchner. Development of a Sound Coding Strategy based on a Deep Recurrent Neural Network for Monaural Source Separation in Cochlear Implants. ITG Speech Communication. Paderborn, Germany, 2016.

Conference contributions:

• T. Gajecki, W. Nogueira. Design and Evaluation of a Binaural Sound Coding Strategy Based on Synchronized Linked Band Selection and Front-End Processing. Conference on Implantable Auditory Prostheses, Tahoe City, California, USA, 2021.

• T. Gajecki, W. Nogueira. Enhancement of Interaural Level Differences and Binaural Band Selection Improves Sound Localization in Bilateral Cochlear Implant Users. Association for Research in Otolaryngology MidWinter Meeting, San Jose, California, USA, 2020.

• T. Gajecki, W. Nogueira. Enhancement of Interaural Level Differences and Binaural Band Selection Improves Sound Localization in Bilateral Cochlear Implant Users. International Conference on Biomedical Technology, Hannover, Germany, 2019.

• T. Gajecki, W. Nogueira. Improving Speech Intelligibility of Bilateral Cochlear Implant Users with a Binaural N-of-M sound Coding Strategy. Conference on Implantable Auditory Prostheses, Tahoe City California, USA, 2019.

Challenges:

• T. Gajecki, W. Nogueira. Binaural Speech Enhancement Based on Deep Attention Layers. 1st Clarity Enhancement Challenge, 2021 (Student award).