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STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency


Apr 21, 2022
Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux

* in submission 

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Heterogeneous Target Speech Separation


Apr 07, 2022
Efthymios Tzinis, Gordon Wichern, Aswin Subramanian, Paris Smaragdis, Jonathan Le Roux

* Submitted to Interspeech 2022 

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Locate This, Not That: Class-Conditioned Sound Event DOA Estimation


Mar 08, 2022
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux

* Accepted for publication at ICASSP 2022 

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The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks


Oct 19, 2021
Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux

* Submitted to ICASSP2022. For resources and examples, see https://cocktail-fork.github.io 

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Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement


Oct 01, 2021
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux

* in submission 

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Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation


Aug 16, 2021
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux

* 16 pages, 4 figures 

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Convolutive Prediction for Reverberant Speech Separation


Aug 16, 2021
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux

* in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021 

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On The Compensation Between Magnitude and Phase in Speech Separation


Aug 11, 2021
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux

* in submission to IEEE Signal Processing Letters 

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Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins


Jun 29, 2021
Ankush Chakrabarty, Gordon Wichern, Christopher Laughman

* 12 pages, accepted to ICML 2021 Workshop on Tackling Climate Change with Machine Learning 

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Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision


Oct 22, 2020
Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux


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