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01/11/2023
Rethinking complex-valued deep neural networks for monaural speech enhancement
Despite multiple efforts made towards adopting complex-valued deep neura...
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11/16/2022
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement
Most speech enhancement (SE) models learn a point estimate, and do not m...
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10/08/2021
Location-based training for multi-channel talker-independent speaker separation
Permutation-invariant training (PIT) is a dominant approach for addressi...
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09/02/2020
SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation
Most existing deep learning based binaural speaker separation systems fo...
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09/16/2019
Audio-Visual Speech Separation and Dereverberation with a Two-Stage Multimodal Network
Background noise, interfering speech and room reverberation frequently d...
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03/11/2019
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
Monaural speech enhancement has made dramatic advances since the introdu...
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11/22/2018
