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FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing.

, , , , and . ASRU, page 260-267. IEEE, (2019)

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Denoising in the Domain of Spectrotemporal Modulations., and . EURASIP J. Audio Speech Music. Process., (2007)Speaker-independent Speech Separation with Deep Attractor Network., , and . CoRR, (2017)Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain., , , , and . CoRR, (2024)Speech Enhancement Based on Filtering the Spectrotemporal Modulations., and . ICASSP (1), page 1105-1108. IEEE, (2005)Designing a hands-on brain computer interface laboratory course., , and . EMBC, page 3010-3014. IEEE, (2016)Data-Driven and Feedback Based Spectro-Temporal Features for Speech Recognition., , , and . IEEE Signal Process. Lett., 17 (11): 957-960 (2010)Deep attractor network for single-microphone speaker separation., , and . ICASSP, page 246-250. IEEE, (2017)FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing., , , , and . ASRU, page 260-267. IEEE, (2019)Speech reconstruction from human auditory cortex with deep neural networks., , , , and . INTERSPEECH, page 1121-1125. ISCA, (2015)Neural decoding of attentional selection in multi-speaker environments without access to separated sources., , , , , and . EMBC, page 1644-1647. IEEE, (2017)