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eess.AS2025
Microphone Occlusion Mitigation for Own-Voice Enhancement in Head-Worn Microphone Arrays Using Switching-Adaptive Beamforming
Wiebke Middelberg, Jung-Suk Lee, Saeed Bagheri Sereshki +3
Enhancing the user's own-voice for head-worn microphone arrays is an important task in noisy environments to allow for easier speech communication and user-device interaction. Howe…
eess.AS2020
DBNET: DOA-driven beamforming network for end-to-end farfield sound source separation
Ali Aroudi, Sebastian Braun
Many deep learning techniques are available to perform source separation and reduce background noise. However, designing an end-to-end multi-channel source separation method using…
eess.AS2020
Improving auditory attention decoding performance of linear and non-linear methods using state-space model
Ali Aroudi, Tobias de Taillez, Simon Doclo
Identifying the target speaker in hearing aid applications is crucial to improve speech understanding. Recent advances in electroencephalography (EEG) have shown that it is possibl…