Zhong-Qiu Wang

89 papers A* 2A 8C 2Misc 24Journal 48Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
Multi-Channel Acoustic Echo Cancellation Based on Direction-of-Arrival Estimation.
INTERSPEECH
Fei Zhao, Xueliang Zhang, Zhong-Qiu Wang
2024 J jnl
Boosting Unknown-number Speaker Separation with Transformer Decoder-based Attractor.
CoRR
Younglo Lee, Shukjae Choi, Byeong-Yeol Kim, Zhong-Qiu Wang, Shinji Watanabe
2024 A* conf
Cross-Talk Reduction.
IJCAI
Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe
2024 J jnl
Cross-Talk Reduction.
CoRR
Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe
2024 J jnl
Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation.
IEEE Signal Process. Lett.
Zhong-Qiu Wang
2024 — conf
Summary on the Multimodal Information-Based Speech Processing (MISP) 2023 Challenge.
ICASSP Workshops
Hang Chen, Shilong Wu, Chenxi Wang, Jun Du, Chin-Hui Lee, Sabato Marco Siniscalchi, Shinji Watanabe, Jingdong Chen, Odette Scharenborg, Zhong-Qiu Wang, Bao-Cai Yin, Jia Pan
2024 Misc conf
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction.
ICASSP
Shilong Wu, Chenxi Wang, Hang Chen, Yusheng Dai, Chenyue Zhang, Ruoyu Wang, Hongbo Lan, Jun Du, Chin-Hui Lee, Jingdong Chen, Sabato Marco Siniscalchi, Odette Scharenborg, Zhong-Qiu Wang, Jia Pan, Jianqing Gao
2024 J jnl
USDnet: Unsupervised Speech Dereverberation via Neural Forward Filtering.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang
2023 C conf
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction.
ASRU
Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa
2023 J jnl
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, and Extraction.
CoRR
Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa
2023 — conf
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation.
WASPAA
Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang, Samuele Cornell, Zhong-Qiu Wang, Nobutaka Ono, Yanmin Qian, Shinji Watanabe
2023 J jnl
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation.
CoRR
Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang, Samuele Cornell, Zhong-Qiu Wang, Nobutaka Ono, Yanmin Qian, Shinji Watanabe
2023 Misc conf
FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling.
ICASSP
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
2023 Misc conf
Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge.
ICASSP
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini
2023 J jnl
Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge.
CoRR
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono
2023 J jnl
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling.
CoRR
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
2023 J jnl
STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux
2023 J jnl
Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing.
J. Open Source Softw.
Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe
2023 Misc conf
TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation.
ICASSP
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
2023 J jnl
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
2023 J jnl
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks.
IEEE ACM Trans. Audio Speech Lang. Process.
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux
2023 J jnl
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios.
CoRR
Samuele Cornell, Matthew Wiesner, Shinji Watanabe, Desh Raj, Xuankai Chang, Paola García, Yoshiki Masuyama, Zhong-Qiu Wang, Stefano Squartini, Sanjeev Khudanpur
2023 J jnl
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction.
CoRR
Shilong Wu, Chenxi Wang, Hang Chen, Yusheng Dai, Chenyue Zhang, Ruoyu Wang, Hongbo Lan, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Zhong-Qiu Wang, Jia Pan, Jianqing Gao
2023 C conf
Toward Universal Speech Enhancement For Diverse Input Conditions.
ASRU
Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian
2023 J jnl
Toward Universal Speech Enhancement for Diverse Input Conditions.
CoRR
Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian
2023 A* conf
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures.
NeurIPS
Zhong-Qiu Wang, Shinji Watanabe
2023 J jnl
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures.
CoRR
Zhong-Qiu Wang, Shinji Watanabe
2022 Misc conf
Conditional Diffusion Probabilistic Model for Speech Enhancement.
ICASSP
Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao
2022 J jnl
Conditional Diffusion Probabilistic Model for Speech Enhancement.
CoRR
Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao
2022 A conf
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding.
INTERSPEECH
Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe
2022 J jnl
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding.
CoRR
Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe
2022 J jnl
Improving Frame-Online Neural Speech Enhancement With Overlapped-Frame Prediction.
IEEE Signal Process. Lett.
Zhong-Qiu Wang, Shinji Watanabe
2022 J jnl
Improving Frame-Online Neural Speech Enhancement with Overlapped-Frame Prediction.
CoRR
Zhong-Qiu Wang, Shinji Watanabe
2022 Misc conf
Localization based Sequential Grouping for Continuous Speech Separation.
ICASSP
Zhong-Qiu Wang, DeLiang Wang
2022 J jnl
Locate This, Not That: Class-Conditioned Sound Event DOA Estimation.
CoRR
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
2022 Misc conf
Locate This, Not that: Class-Conditioned Sound Event DOA Estimation.
ICASSP
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
2022 J jnl
Neural Spectrospatial Filtering.
IEEE ACM Trans. Audio Speech Lang. Process.
Ke Tan, Zhong-Qiu Wang, DeLiang Wang
2022 J jnl
STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux
2022 J jnl
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation.
CoRR
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
2022 J jnl
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation.
CoRR
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
2022 J jnl
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks.
CoRR
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux
2022 Misc conf
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks.
ICASSP
Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
2022 Misc conf
Towards Low-Distortion Multi-Channel Speech Enhancement: The ESPNET-Se Submission to the L3DAS22 Challenge.
ICASSP
Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe
2022 J jnl
Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge.
CoRR
Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe
2021 — conf
Anomalous Sound Detection Using Attentive Neural Processes.
WASPAA
Gordon Wichern, Ankush Chakrabarty, Zhong-Qiu Wang, Jonathan Le Roux
2021 J jnl
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 — conf
Convolutive Prediction for Reverberant Speech Separation.
WASPAA
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
Convolutive Prediction for Reverberant Speech Separation.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 Misc conf
Count And Separate: Incorporating Speaker Counting For Continuous Speaker Separation.
ICASSP
Zhong-Qiu Wang, DeLiang Wang
2021 J jnl
Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
Localization Based Sequential Grouping for Continuous Speech Separation.
CoRR
Zhong-Qiu Wang, DeLiang Wang
2021 J jnl
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, Peidong Wang, DeLiang Wang
2021 J jnl
On The Compensation Between Magnitude and Phase in Speech Separation.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
On the Compensation Between Magnitude and Phase in Speech Separation.
IEEE Signal Process. Lett.
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 — conf
Sequential Multi-Frame Neural Beamforming for Speech Separation and Enhancement.
SLT
Zhong-Qiu Wang, Hakan Erdogan, Scott Wisdom, Kevin W. Wilson, Desh Raj, Shinji Watanabe, Zhuo Chen, John R. Hershey
2021 J jnl
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks.
CoRR
Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
2020 J jnl
Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, Peidong Wang, DeLiang Wang
2020 J jnl
Deep Learning Based Target Cancellation for Speech Dereverberation.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, DeLiang Wang
2020 Misc conf
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation.
ICASSP
Zhong-Qiu Wang, DeLiang Wang
2020 J jnl
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation.
CoRR
Zhong-Qiu Wang, DeLiang Wang
2020 J jnl
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation.
CoRR
Zhong-Qiu Wang, Peidong Wang, DeLiang Wang
2020 J jnl
Robust Speaker Recognition Based on Single-Channel and Multi-Channel Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process.
Hassan Taherian, Zhong-Qiu Wang, Jorge Chang, DeLiang Wang
2019 J jnl
Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement.
CoRR
Zhong-Qiu Wang, Scott Wisdom, Kevin W. Wilson, John R. Hershey
2019 J jnl
Combining Spectral and Spatial Features for Deep Learning Based Blind Speaker Separation.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, DeLiang Wang
2019 A conf
Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments.
INTERSPEECH
Hassan Taherian, Zhong-Qiu Wang, DeLiang Wang
2019 Misc conf
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective.
ICASSP
Zhong-Qiu Wang, Ke Tan, DeLiang Wang
2019 J jnl
Robust Speaker Localization Guided by Deep Learning-Based Time-Frequency Masking.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, Xueliang Zhang, DeLiang Wang
2019 J jnl
Two-Stage Deep Learning for Noisy-Reverberant Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process.
Yan Zhao, Zhong-Qiu Wang, DeLiang Wang
2018 A conf
All-Neural Multi-Channel Speech Enhancement.
INTERSPEECH
Zhong-Qiu Wang, DeLiang Wang
2018 Misc conf
Alternative Objective Functions for Deep Clustering.
ICASSP
Zhong-Qiu Wang, Jonathan Le Roux, John R. Hershey
2018 J jnl
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective.
CoRR
Zhong-Qiu Wang, Ke Tan, DeLiang Wang
2018 A conf
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction.
INTERSPEECH
Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang, John R. Hershey
2018 J jnl
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction.
CoRR
Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang, John R. Hershey
2018 A conf
Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation.
INTERSPEECH
Zhong-Qiu Wang, DeLiang Wang
2018 Misc conf
Mask Weighted Stft Ratios for Relative Transfer Function Estimation and ITS Application to Robust ASR.
ICASSP
Zhong-Qiu Wang, DeLiang Wang
2018 Misc conf
Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation.
ICASSP
Zhong-Qiu Wang, Jonathan Le Roux, John R. Hershey
2018 Misc conf
On Spatial Features for Supervised Speech Separation and its Application to Beamforming and Robust ASR.
ICASSP
Zhong-Qiu Wang, DeLiang Wang
2018 A conf
Robust TDOA Estimation Based on Time-Frequency Masking and Deep Neural Networks.
INTERSPEECH
Zhong-Qiu Wang, Xueliang Zhang, DeLiang Wang
2017 Misc conf
A speech enhancement algorithm by iterating single- and multi-microphone processing and its application to robust ASR.
ICASSP
Xueliang Zhang, Zhong-Qiu Wang, DeLiang Wang
2017 Misc conf
A two-stage algorithm for noisy and reverberant speech enhancement.
ICASSP
Yan Zhao, Zhong-Qiu Wang, DeLiang Wang
2017 Misc conf
Learning utterance-level representations for speech emotion and age/gender recognition using deep neural networks.
ICASSP
Zhong-Qiu Wang, Ivan Tashev
2017 Misc conf
Recurrent deep stacking networks for supervised speech separation.
ICASSP
Zhong-Qiu Wang, DeLiang Wang
2017 Misc conf
Speech emotion recognition based on Gaussian Mixture Models and Deep Neural Networks.
ITA
Ivan J. Tashev, Zhong-Qiu Wang, Keith W. Godin
2017 Misc conf
Unsupervised speaker adaptation of batch normalized acoustic models for robust ASR.
ICASSP
Zhong-Qiu Wang, DeLiang Wang
2016 J jnl
A Joint Training Framework for Robust Automatic Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, DeLiang Wang
2016 Misc conf
Phoneme-specific speech separation.
ICASSP
Zhong-Qiu Wang, Yan Zhao, DeLiang Wang
2016 Misc conf
Robust speech recognition from ratio masks.
ICASSP
Zhong-Qiu Wang, DeLiang Wang
2015 A conf
Joint training of speech separation, filterbank and acoustic model for robust automatic speech recognition.
INTERSPEECH
Zhong-Qiu Wang, DeLiang Wang