Combining spectral feature mapping and multi-channel model-based source separation for noise-robust automatic speech recognition. - Deblin Bagchi; Michael I. Mandel; Zhongqiu Wang 001; Yanzhang He; Andrew R. Plummer; Eric Fosler-Lussier (ASRU, 2015)

Joint training of speech separation, filterbank and acoustic model for robust automatic speech recognition. - Zhong-Qiu Wang 001; DeLiang Wang (INTERSPEECH, 2015)

Robust speech recognition from ratio masks. - Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2016)

Phoneme-specific speech separation. - Zhong-Qiu Wang 001; Yan Zhao 010; DeLiang Wang (ICASSP, 2016)

A Joint Training Framework for Robust Automatic Speech Recognition. - Zhong-Qiu Wang 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Learning utterance-level representations for speech emotion and age/gender recognition using deep neural networks. - Zhong-Qiu Wang 001; Ivan Tashev (ICASSP, 2017)

Recurrent deep stacking networks for supervised speech separation. - Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2017)

Unsupervised speaker adaptation of batch normalized acoustic models for robust ASR. - Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2017)

A speech enhancement algorithm by iterating single- and multi-microphone processing and its application to robust ASR. - Xueliang Zhang 001; Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2017)

A two-stage algorithm for noisy and reverberant speech enhancement. - Yan Zhao 010; Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2017)

Speech emotion recognition based on Gaussian Mixture Models and Deep Neural Networks. - Ivan J. Tashev; Zhong-Qiu Wang 001; Keith W. Godin (ITA, 2017)

Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation. - Zhong-Qiu Wang 001; Jonathan Le Roux; John R. Hershey (ICASSP, 2018)

Alternative Objective Functions for Deep Clustering. - Zhong-Qiu Wang 001; Jonathan Le Roux; John R. Hershey (ICASSP, 2018)

Mask Weighted Stft Ratios for Relative Transfer Function Estimation and ITS Application to Robust ASR. - Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2018)

On Spatial Features for Supervised Speech Separation and its Application to Beamforming and Robust ASR. - Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2018)

End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction. - Zhong-Qiu Wang 001; Jonathan Le Roux; DeLiang Wang; John R. Hershey (INTERSPEECH, 2018)

Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation. - Zhong-Qiu Wang 001; DeLiang Wang (INTERSPEECH, 2018)

All-Neural Multi-Channel Speech Enhancement. - Zhong-Qiu Wang 001; DeLiang Wang (INTERSPEECH, 2018)

Robust TDOA Estimation Based on Time-Frequency Masking and Deep Neural Networks. - Zhong-Qiu Wang 001; Xueliang Zhang 001; DeLiang Wang (INTERSPEECH, 2018)

Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. - Zhong-Qiu Wang 001; Ke Tan 001; DeLiang Wang (ICASSP, 2019)

Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments. - Hassan Taherian; Zhong-Qiu Wang 001; DeLiang Wang (INTERSPEECH, 2019)

Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement. - Zhong-Qiu Wang 001; Scott Wisdom; Kevin W. Wilson; John R. Hershey (CoRR, 2019)

Combining Spectral and Spatial Features for Deep Learning Based Blind Speaker Separation. - Zhong-Qiu Wang 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Robust Speaker Localization Guided by Deep Learning-Based Time-Frequency Masking. - Zhong-Qiu Wang 001; Xueliang Zhang 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Two-Stage Deep Learning for Noisy-Reverberant Speech Enhancement. - Yan Zhao 010; Zhong-Qiu Wang 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. - Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2020)

Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation. - Zhong-Qiu Wang 001; Peidong Wang; DeLiang Wang (CoRR, 2020)

Robust Speaker Recognition Based on Single-Channel and Multi-Channel Speech Enhancement. - Hassan Taherian; Zhong-Qiu Wang 001; Jorge Chang; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Deep Learning Based Target Cancellation for Speech Dereverberation. - Zhong-Qiu Wang 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR. - Zhong-Qiu Wang 001; Peidong Wang; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Count And Separate: Incorporating Speaker Counting For Continuous Speaker Separation. - Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2021)

Sequential Multi-Frame Neural Beamforming for Speech Separation and Enhancement. - Zhong-Qiu Wang 001; Hakan Erdogan; Scott Wisdom; Kevin W. Wilson; Desh Raj; Shinji Watanabe 001; Zhuo Chen 006; John R. Hershey (SLT, 2021)

Convolutive Prediction for Reverberant Speech Separation. - Zhong-Qiu Wang 001; Gordon Wichern; Jonathan Le Roux (WASPAA, 2021)

Anomalous Sound Detection Using Attentive Neural Processes. - Gordon Wichern; Ankush Chakrabarty; Zhong-Qiu Wang 001; Jonathan Le Roux (WASPAA, 2021)

Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement. - Zhong-Qiu Wang 001; Gordon Wichern; Jonathan Le Roux (CoRR, 2021)

On the Compensation Between Magnitude and Phase in Speech Separation. - Zhong-Qiu Wang 001; Gordon Wichern; Jonathan Le Roux (IEEE Signal Process. Lett., 2021)

Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. - Zhong-Qiu Wang 001; Gordon Wichern; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation. - Zhong-Qiu Wang 001; Peidong Wang; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

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 001; Shinji Watanabe 001 (ICASSP, 2022)

Conditional Diffusion Probabilistic Model for Speech Enhancement. - Yen-Ju Lu; Zhong-Qiu Wang 001; Shinji Watanabe 001; Alexander Richard; Cheng Yu; Yu Tsao 001 (ICASSP, 2022)

The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. - Darius Petermann; Gordon Wichern; Zhong-Qiu Wang 001; Jonathan Le Roux (ICASSP, 2022)

Locate This, Not that: Class-Conditioned Sound Event DOA Estimation. - Olga Slizovskaia; Gordon Wichern; Zhong-Qiu Wang 001; Jonathan Le Roux (ICASSP, 2022)

Localization based Sequential Grouping for Continuous Speech Separation. - Zhong-Qiu Wang 001; DeLiang Wang (ICASSP, 2022)

ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. - Yen-Ju Lu; Xuankai Chang; Chenda Li; Wangyou Zhang; Samuele Cornell; Zhaoheng Ni; Yoshiki Masuyama; Brian Yan; Robin Scheibler; Zhong-Qiu Wang 001; Yu Tsao 001; Yanmin Qian; et al. (INTERSPEECH, 2022)

Improving Frame-Online Neural Speech Enhancement With Overlapped-Frame Prediction. - Zhong-Qiu Wang 001; Shinji Watanabe 001 (IEEE Signal Process. Lett., 2022)

Neural Spectrospatial Filtering. - Ke Tan 001; Zhong-Qiu Wang 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction. - Kohei Saijo; Wangyou Zhang; Zhong-Qiu Wang 001; Shinji Watanabe 001; Tetsunori Kobayashi; Tetsuji Ogawa (ASRU, 2023)

Toward Universal Speech Enhancement For Diverse Input Conditions. - Wangyou Zhang; Kohei Saijo; Zhong-Qiu Wang 001; Shinji Watanabe 001; Yanmin Qian (ASRU, 2023)

Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. - Samuele Cornell; Zhong-Qiu Wang 001; Yoshiki Masuyama; Shinji Watanabe 001; Manuel Pariente; Nobutaka Ono; Stefano Squartini (ICASSP, 2023)

TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. - Zhong-Qiu Wang 001; Samuele Cornell; Shukjae Choi; Younglo Lee; Byeong-Yeol Kim; Shinji Watanabe 001 (ICASSP, 2023)

FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling. - Zhong-Qiu Wang 001; Samuele Cornell; Shukjae Choi; Younglo Lee; Byeong-Yeol Kim; Shinji Watanabe 001 (ICASSP, 2023)

UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures. - Zhong-Qiu Wang 001; Shinji Watanabe 001 (NeurIPS, 2023)

Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation. - Yoshiki Masuyama; Xuankai Chang; Wangyou Zhang; Samuele Cornell; Zhong-Qiu Wang 001; Nobutaka Ono; Yanmin Qian; Shinji Watanabe 001 (WASPAA, 2023)

Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge. - Samuele Cornell; Zhong-Qiu Wang 001; Yoshiki Masuyama; Shinji Watanabe 001; Manuel Pariente; Nobutaka Ono (CoRR, 2023)

Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling. - Zhong-Qiu Wang 001; Samuele Cornell; Shukjae Choi; Younglo Lee; Byeong-Yeol Kim; Shinji Watanabe 001 (CoRR, 2023)

The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. - Samuele Cornell; Matthew Wiesner; Shinji Watanabe 001; Desh Raj; Xuankai Chang; Paola García 001; Yoshiki Masuyama; Zhong-Qiu Wang 001; Stefano Squartini; Sanjeev Khudanpur (CoRR, 2023)

The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. - Shilong Wu; Chenxi Wang; Hang Chen 001; Yusheng Dai; Chenyue Zhang; Ruoyu Wang 029; Hongbo Lan; Jun Du 002; Chin-Hui Lee 001; Jingdong Chen; Shinji Watanabe 001; Sabato Marco Siniscalchi; et al. (CoRR, 2023)

Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. - Darius Petermann; Gordon Wichern; Aswin Shanmugam Subramanian; Zhong-Qiu Wang 001; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. - Zhong-Qiu Wang 001; Samuele Cornell; Shukjae Choi; Younglo Lee; Byeong-Yeol Kim; Shinji Watanabe 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency. - Zhong-Qiu Wang 001; Gordon Wichern; Shinji Watanabe 001; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing (espnet-v.202310). - Yen-Ju Lu; Xuankai Chang; Chenda Li; Wangyou Zhang; Samuele Cornell; Zhaoheng Ni; Yoshiki Masuyama; Brian Yan; Robin Scheibler; Zhong-Qiu Wang 001; Yu Tsao 001; Yanmin Qian; et al. (Zenodo, 2023)

Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing. - Yen-Ju Lu; Xuankai Chang; Chenda Li; Wangyou Zhang; Samuele Cornell; Zhaoheng Ni; Yoshiki Masuyama; Brian Yan; Robin Scheibler; Zhong-Qiu Wang 001; Yu Tsao 001; Yanmin Qian; et al. (J. Open Source Softw., 2023)

Summary on the Multimodal Information-Based Speech Processing (MISP) 2023 Challenge. - Hang Chen 001; Shilong Wu; Chenxi Wang; Jun Du 002; Chin-Hui Lee 001; Sabato Marco Siniscalchi; Shinji Watanabe 001; Jingdong Chen; Odette Scharenborg; Zhong-Qiu Wang 001; Bao-Cai Yin; Jia Pan (ICASSP Workshops, 2024)

Boosting Unknown-Number Speaker Separation with Transformer Decoder-Based Attractor. - Younglo Lee; Shukjae Choi; Byeong-Yeol Kim; Zhongqiu Wang 001; Shinji Watanabe 001 (ICASSP, 2024)

The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. - Shilong Wu; Chenxi Wang; Hang Chen 001; Yusheng Dai; Chenyue Zhang; Ruoyu Wang 029; Hongbo Lan; Jun Du 002; Chin-Hui Lee 001; Jingdong Chen; Sabato Marco Siniscalchi; Odette Scharenborg; et al. (ICASSP, 2024)

Cross-Talk Reduction. - Zhong-Qiu Wang 001; Anurag Kumar 003; Shinji Watanabe 001 (IJCAI, 2024)

Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation. - Zhong-Qiu Wang 001 (IEEE Signal Process. Lett., 2024)

USDnet: Unsupervised Speech Dereverberation via Neural Forward Filtering. - Zhong-Qiu Wang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

SuperM2M: Supervised and mixture-to-mixture co-learning for speech enhancement and noise-robust ASR. - Zhongqiu Wang 001 (Neural Networks, 2025)

Recent Trends in Distant Conversational Speech Recognition: A Review of CHiME-7 and 8 DASR Challenges. - Samuele Cornell; Christoph Boeddeker; Taejin Park; He Huang 012; Desh Raj; Matthew Wiesner; Yoshiki Masuyama; Xuankai Chang; Zhongqiu Wang 001; Stefano Squartini; Paola García 001; Shinji Watanabe 001 (CoRR, 2025)