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Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR

IEEE/ACM transactions on audio, speech, and language processing, 2020, Vol.28, p.1778-1787

2020

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Combining Spectral and Spatial Features for Deep Learning Based Blind Speaker Separation

IEEE/ACM transactions on audio, speech, and language processing, 2019-02, Vol.27 (2), p.457-468

2019

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On the Compensation Between Magnitude and Phase in Speech Separation

IEEE signal processing letters, 2021, Vol.28, p.2018-2022

2021

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Deep Learning Based Target Cancellation for Speech Dereverberation

IEEE/ACM transactions on audio, speech, and language processing, 2020, Vol.28, p.941-950

2020

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Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation

IEEE/ACM transactions on audio, speech, and language processing, 2021, Vol.29, p.2001-2014

2021

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Neural Spectrospatial Filtering

IEEE/ACM transactions on audio, speech, and language processing, 2022, Vol.30, p.605-621

2022

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A Joint Training Framework for Robust Automatic Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2016-04, Vol.24 (4), p.796-806

2016

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Robust Speaker Localization Guided by Deep Learning-Based Time-Frequency Masking

IEEE/ACM transactions on audio, speech, and language processing, 2019-01, Vol.27 (1), p.178-188

2019

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Two-Stage Deep Learning for Noisy-Reverberant Speech Enhancement

IEEE/ACM transactions on audio, speech, and language processing, 2019-01, Vol.27 (1), p.53-62

2019

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Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.1-5

2018

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Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.71-75

2019

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Robust Speaker Recognition Based on Single-Channel and Multi-Channel Speech Enhancement

IEEE/ACM transactions on audio, speech, and language processing, 2020, Vol.28, p.1293-1302

2020

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Learning utterance-level representations for speech emotion and age/gender recognition using deep neural networks

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.5150-5154

2017

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

IEEE signal processing letters, 2022, Vol.29, p.1422-1426

2022

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TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency

IEEE/ACM transactions on audio, speech, and language processing, 2023, Vol.31, p.397-410

2023

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A speech enhancement algorithm by iterating single- and multi-microphone processing and its application to robust ASR

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.276-280

2017

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TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation

IEEE/ACM transactions on audio, speech, and language processing, 2023, Vol.31, p.3221-3236

2023

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Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation

IEEE signal processing letters, 2024, Vol.31, p.1715-1719

Wang, Zhong-Qiu

2024

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

IEEE/ACM transactions on audio, speech, and language processing, 2021, Vol.29, p.3476-3490

2021

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Recurrent deep stacking networks for supervised speech separation

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.71-75

2017

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FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks

IEEE/ACM transactions on audio, speech, and language processing, 2023, Vol.31, p.2592-2605

2023

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Alternative Objective Functions for Deep Clustering

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.686-690

2018

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Chemical shift magnetic resonance imaging for distinguishing minimal-fat renal angiomyolipoma from renal cell carcinoma: a meta-analysis

European radiology, 2018-05, Vol.28 (5), p.1854-1861

2018

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Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR

Combining Spectral and Spatial Features for Deep Learning Based Blind Speaker Separation

On the Compensation Between Magnitude and Phase in Speech Separation

Deep Learning Based Target Cancellation for Speech Dereverberation

Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation

Neural Spectrospatial Filtering

A Joint Training Framework for Robust Automatic Speech Recognition

Robust Speaker Localization Guided by Deep Learning-Based Time-Frequency Masking

Two-Stage Deep Learning for Noisy-Reverberant Speech Enhancement

Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation

Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective

Robust Speaker Recognition Based on Single-Channel and Multi-Channel Speech Enhancement

Learning utterance-level representations for speech emotion and age/gender recognition using deep neural networks

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

TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation

STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency

A speech enhancement algorithm by iterating single- and multi-microphone processing and its application to robust ASR

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation

Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation

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

Recurrent deep stacking networks for supervised speech separation

FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling

Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks

Alternative Objective Functions for Deep Clustering

Chemical shift magnetic resonance imaging for distinguishing minimal-fat renal angiomyolipoma from renal cell carcinoma: a meta-analysis

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