Binaural Signal Processing
- Binaural signal processing strategies to improve speech intelligibility and sound localization
- Coding of electrical stimulation patterns for bilateral wireless communication
- Investigation of the effect bilaterally synchronized electrical stimulation
- Enhancement of interaural cues to improve spatial hearing
- Binaural speech processing based on deep learning models
Deep Learning
- Automatic singing voice enhancement based on deep neural networks
- Real-time music processing to improve music perception
- End-to-end cochlear implant speech coding and denoising strategies
- Classical music remixing using multi-head neural networks
- Brain-informed music source separation
Publications
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T. Gajecki, W. Nogueira. A Fused Deep Denoising Sound Coding Strategy for Bilateral Cochlear Implants. IEEE Transactions on Biomedical Engineering, 2023. (Under review)
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T. Gajecki, W. Nogueira. Deep Latent Fusion Layers for Binaural Speech Enhancement. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.
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T. Gajecki, Y. Zhang, W. Nogueira. A Deep Denoising Sound Coding Strategy for Cochlear Implants. IEEE Transactions on Biomedical Engineering, 2023.
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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.
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T. Gajecki, W. Nogueira. Enhancement of Interaural Level Differences for Bilateral Cochlear Implant Users. Hearing Research, 2021.
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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.
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T. Gajecki, W. Nogueira. The Effect of Synchronized Linked Band Selection on Speech Intelligibility of Bilateral Cochlear Implant Users. Hearing Research, 2020.
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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.
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R. Hinrichs, T. Gajecki, J. Ostermann, W. Nogueira. Coding of Electrical Stimulation Patterns for Binaural Sound Coding Strategies for Cochlear Implants. IEEE EMBC, 2019.
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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.
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T. Gajecki, W. Nogueira. Deep Learning Models to Remix Music for Cochlear Implant Users. The Journal of the Acoustical Society of America, 2018.
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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.