Zhong-Qiu Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 87

Top Topics

Spatial Features

Gaussian Mixture

Speech Enhancement

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Zhong-Qiu Wang
Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation. IEEE Signal Process. Lett. 31 (2024)
Younglo Lee, Shukjae Choi, Byeong-Yeol Kim, Zhong-Qiu Wang, Shinji Watanabe
Boosting Unknown-number Speaker Separation with Transformer Decoder-based Attractor. CoRR (2024)
Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe
Cross-Talk Reduction. CoRR (2024)
Zhong-Qiu Wang
ctPuLSE: Close-Talk, and Pseudo-Label Based Far-Field, Speech Enhancement. CoRR (2024)
Rithik Sachdev, Zhong-Qiu Wang, Chao-Han Huck Yang
Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction. CoRR (2024)
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
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. ICASSP (2024)
Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang, Samuele Cornell, Zhong-Qiu Wang, Nobutaka Ono, Yanmin Qian, Shinji Watanabe
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation. CoRR (2023)
Zhong-Qiu Wang, Shinji Watanabe
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures. NeurIPS (2023)
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
Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing. J. Open Source Softw. 8 (91) (2023)
Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux
STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction. ASRU (2023)
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling. CoRR (2023)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. ICASSP (2023)
Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian
Toward Universal Speech Enhancement for Diverse Input Conditions. CoRR (2023)
Zhong-Qiu Wang, Shinji Watanabe
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures. CoRR (2023)
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono
Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge. CoRR (2023)
Samuele Cornell, Matthew Wiesner, Shinji Watanabe, Desh Raj, Xuankai Chang, Paola García, Yoshiki Masuyama, Zhong-Qiu Wang, Stefano Squartini, Sanjeev Khudanpur
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. CoRR (2023)
Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang, Samuele Cornell, Zhong-Qiu Wang, Nobutaka Ono, Yanmin Qian, Shinji Watanabe
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation. WASPAA (2023)
Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, and Extraction. CoRR (2023)
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
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. CoRR (2023)
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini
Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. ICASSP (2023)
Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian
Toward Universal Speech Enhancement For Diverse Input Conditions. ASRU (2023)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling. ICASSP (2023)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao
Conditional Diffusion Probabilistic Model for Speech Enhancement. ICASSP (2022)
Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux
STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency. CoRR (2022)
Zhong-Qiu Wang, Shinji Watanabe
Improving Frame-Online Neural Speech Enhancement with Overlapped-Frame Prediction. CoRR (2022)
Zhong-Qiu Wang, DeLiang Wang
Localization based Sequential Grouping for Continuous Speech Separation. ICASSP (2022)
Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe
Towards Low-Distortion Multi-Channel Speech Enhancement: The ESPNET-Se Submission to the L3DAS22 Challenge. ICASSP (2022)
Ke Tan, Zhong-Qiu Wang, DeLiang Wang
Neural Spectrospatial Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. CoRR (2022)
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. CoRR (2022)
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
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. CoRR (2022)
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
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. INTERSPEECH (2022)
Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao
Conditional Diffusion Probabilistic Model for Speech Enhancement. CoRR (2022)
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
Locate This, Not that: Class-Conditioned Sound Event DOA Estimation. ICASSP (2022)
Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe
Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge. CoRR (2022)
Zhong-Qiu Wang, Shinji Watanabe
Improving Frame-Online Neural Speech Enhancement With Overlapped-Frame Prediction. IEEE Signal Process. Lett. 29 (2022)
Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. ICASSP (2022)
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
Locate This, Not That: Class-Conditioned Sound Event DOA Estimation. CoRR (2022)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. CoRR (2022)
Zhong-Qiu Wang, DeLiang Wang
Count And Separate: Incorporating Speaker Counting For Continuous Speaker Separation. ICASSP (2021)
Zhong-Qiu Wang, Peidong Wang, DeLiang Wang
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
On The Compensation Between Magnitude and Phase in Speech Separation. CoRR (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. CoRR (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Convolutive Prediction for Reverberant Speech Separation. WASPAA (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Convolutive Prediction for Reverberant Speech Separation. CoRR (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
On the Compensation Between Magnitude and Phase in Speech Separation. IEEE Signal Process. Lett. 28 (2021)
Zhong-Qiu Wang, Hakan Erdogan, Scott Wisdom, Kevin W. Wilson, Desh Raj, Shinji Watanabe, Zhuo Chen, John R. Hershey
Sequential Multi-Frame Neural Beamforming for Speech Separation and Enhancement. SLT (2021)
Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. CoRR (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement. CoRR (2021)
Gordon Wichern, Ankush Chakrabarty, Zhong-Qiu Wang, Jonathan Le Roux
Anomalous Sound Detection Using Attentive Neural Processes. WASPAA (2021)
Zhong-Qiu Wang, DeLiang Wang
Localization Based Sequential Grouping for Continuous Speech Separation. CoRR (2021)
Zhong-Qiu Wang, DeLiang Wang
Deep Learning Based Target Cancellation for Speech Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Hassan Taherian, Zhong-Qiu Wang, Jorge Chang, DeLiang Wang
Robust Speaker Recognition Based on Single-Channel and Multi-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Zhong-Qiu Wang, Peidong Wang, DeLiang Wang
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation. CoRR (2020)
Zhong-Qiu Wang, DeLiang Wang
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. ICASSP (2020)
Zhong-Qiu Wang, Peidong Wang, DeLiang Wang
Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Zhong-Qiu Wang, DeLiang Wang
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. CoRR (2020)
Zhong-Qiu Wang, Scott Wisdom, Kevin W. Wilson, John R. Hershey
Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement. CoRR (2019)
Yan Zhao, Zhong-Qiu Wang, DeLiang Wang
Two-Stage Deep Learning for Noisy-Reverberant Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 27 (1) (2019)
Zhong-Qiu Wang, Xueliang Zhang, DeLiang Wang
Robust Speaker Localization Guided by Deep Learning-Based Time-Frequency Masking. IEEE ACM Trans. Audio Speech Lang. Process. 27 (1) (2019)
Hassan Taherian, Zhong-Qiu Wang, DeLiang Wang
Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments. INTERSPEECH (2019)
Zhong-Qiu Wang, DeLiang Wang
Combining Spectral and Spatial Features for Deep Learning Based Blind Speaker Separation. IEEE ACM Trans. Audio Speech Lang. Process. 27 (2) (2019)
Zhong-Qiu Wang, Ke Tan, DeLiang Wang
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. ICASSP (2019)
Hong-Ru Wang, Zhong-Qiu Wang, Suiping Qi, Tong Hu, Jing Zou
Ultra-Short Baseline Positioning System and Error Analysis based on Multi-Element Stereo Array. ICSPCC (2018)
Zhong-Qiu Wang, DeLiang Wang
Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation. INTERSPEECH (2018)
Zhong-Qiu Wang, DeLiang Wang
Mask Weighted Stft Ratios for Relative Transfer Function Estimation and ITS Application to Robust ASR. ICASSP (2018)
Zhong-Qiu Wang, Ke Tan, DeLiang Wang
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. CoRR (2018)
Zhong-Qiu Wang, DeLiang Wang
On Spatial Features for Supervised Speech Separation and its Application to Beamforming and Robust ASR. ICASSP (2018)
Zhong-Qiu Wang, Xueliang Zhang, DeLiang Wang
Robust TDOA Estimation Based on Time-Frequency Masking and Deep Neural Networks. INTERSPEECH (2018)
Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang, John R. Hershey
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction. CoRR (2018)
Zhong-Qiu Wang, DeLiang Wang
All-Neural Multi-Channel Speech Enhancement. INTERSPEECH (2018)
Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang, John R. Hershey
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction. INTERSPEECH (2018)
Zhong-Qiu Wang, Jonathan Le Roux, John R. Hershey
Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation. ICASSP (2018)
Zhong-Qiu Wang, Jonathan Le Roux, John R. Hershey
Alternative Objective Functions for Deep Clustering. ICASSP (2018)
Zhong-Qiu Wang, DeLiang Wang
Unsupervised speaker adaptation of batch normalized acoustic models for robust ASR. ICASSP (2017)
Xueliang Zhang, Zhong-Qiu Wang, DeLiang Wang
A speech enhancement algorithm by iterating single- and multi-microphone processing and its application to robust ASR. ICASSP (2017)
Ivan J. Tashev, Zhong-Qiu Wang, Keith W. Godin
Speech emotion recognition based on Gaussian Mixture Models and Deep Neural Networks. ITA (2017)
Yan Zhao, Zhong-Qiu Wang, DeLiang Wang
A two-stage algorithm for noisy and reverberant speech enhancement. ICASSP (2017)
Zhong-Qiu Wang, Ivan Tashev
Learning utterance-level representations for speech emotion and age/gender recognition using deep neural networks. ICASSP (2017)
Zhong-Qiu Wang, DeLiang Wang
Recurrent deep stacking networks for supervised speech separation. ICASSP (2017)
Zhong-Qiu Wang, DeLiang Wang
A Joint Training Framework for Robust Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24 (4) (2016)
Zhong-Qiu Wang, Yan Zhao, DeLiang Wang
Phoneme-specific speech separation. ICASSP (2016)
Zhong-Qiu Wang, DeLiang Wang
Robust speech recognition from ratio masks. ICASSP (2016)
Zhong-Qiu Wang, DeLiang Wang
Joint training of speech separation, filterbank and acoustic model for robust automatic speech recognition. INTERSPEECH (2015)