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STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency



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

* in submission 

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Improving Frame-Online Neural Speech Enhancement with Overlapped-Frame Prediction



Zhong-Qiu Wang , Shinji Watanabe

* in submission 

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



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

* Accepted for publication at ICASSP 2022 

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Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge



Yen-Ju Lu , Samuele Cornell , Xuankai Chang , Wangyou Zhang , Chenda Li , Zhaoheng Ni , Zhong-Qiu Wang , Shinji Watanabe

* to be published in IEEE ICASSP 2022 

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Conditional Diffusion Probabilistic Model for Speech Enhancement



Yen-Ju Lu , Zhong-Qiu Wang , Shinji Watanabe , Alexander Richard , Cheng Yu , Yu Tsao


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



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



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



Zhong-Qiu Wang , Gordon Wichern , Jonathan Le Roux

* 16 pages, 4 figures 

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Convolutive Prediction for Reverberant Speech Separation



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



Zhong-Qiu Wang , Gordon Wichern , Jonathan Le Roux

* in submission to IEEE Signal Processing Letters 

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