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Zhong-Qiu Wang
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2020 – today
- 2024
[j32]Su Xu
, Feng Ding, Xinan Yue, Yihui Cai, Junyi Wang, Xu Zhou, Ning Zhang, Qian Song, Tian Mao, Bo Xiong, Junhao Luo, Yonghui Wang, Zhongqiu Wang:
The Observation of Traveling Ionospheric Disturbances Using the Sanya Incoherent Scatter Radar. Remote. Sens. 16(17): 3126 (2024)- [j31]Zhong-Qiu Wang:
Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation. IEEE Signal Process. Lett. 31: 1715-1719 (2024) - [j30]Zhong-Qiu Wang:
USDnet: Unsupervised Speech Dereverberation via Neural Forward Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3882-3895 (2024) - [j29]Bingxue Wang, Liwen Zou, Jun Chen, Yingying Cao, Zhenghua Cai, Yudong Qiu, Liang Mao, Zhongqiu Wang, Jingya Chen, Luying Gui, Xiaoping Yang:
A Weakly Supervised Segmentation Network Embedding Cross-Scale Attention Guidance and Noise-Sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors. IEEE J. Biomed. Health Informatics 28(2): 988-999 (2024) - [c47]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:
Summary on the Multimodal Information-Based Speech Processing (MISP) 2023 Challenge. ICASSP Workshops 2024: 123-124 - [c46]Younglo Lee, Shukjae Choi, Byeong-Yeol Kim, Zhongqiu Wang, Shinji Watanabe:
Boosting Unknown-Number Speaker Separation with Transformer Decoder-Based Attractor. ICASSP 2024: 446-450 - [c45]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: 8351-8355 - [c44]Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe:
Cross-Talk Reduction. IJCAI 2024: 5171-5180 - [i33]Younglo Lee, Shukjae Choi, Byeong-Yeol Kim, Zhong-Qiu Wang, Shinji Watanabe:
Boosting Unknown-number Speaker Separation with Transformer Decoder-based Attractor. CoRR abs/2401.12473 (2024) - [i32]Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe:
Cross-Talk Reduction. CoRR abs/2405.20402 (2024) - [i31]Rithik Sachdev, Zhong-Qiu Wang, Chao-Han Huck Yang:
Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction. CoRR abs/2407.16370 (2024) - [i30]Zhong-Qiu Wang:
ctPuLSE: Close-Talk, and Pseudo-Label Based Far-Field, Speech Enhancement. CoRR abs/2407.19485 (2024) - 2023
- [j28]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): 5403 (2023) - [j27]Xinan Yue, Fanyu Liu, Junyi Wang, Yonghui Wang, Yihui Cai, Feng Ding, Baiqi Ning, Mingyuan Li, Ning Zhang, Zhongqiu Wang, Su Xu:
On the Ion Line Calibration by Plasma Line in ISR Measurements. Remote. Sens. 15(6): 1553 (2023) - [j26]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: 397-410 (2023) - [j25]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: 2592-2605 (2023) - [j24]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: 3221-3236 (2023) - [j23]Zhen Shan, Zhongqiu Wang, Jianhua Yang, Qiang Ma, Tao Gong:
Novel Time-Frequency Mode Decomposition and Information Fusion for Bearing Fault Diagnosis Under Varying-Speed Condition. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c43]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: 1-6 - [c42]Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian:
Toward Universal Speech Enhancement For Diverse Input Conditions. ASRU 2023: 1-6 - [c41]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: 1-2 - [c40]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: 1-5 - [c39]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: 1-5 - [c38]Zhong-Qiu Wang, Shinji Watanabe:
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures. NeurIPS 2023 - [c37]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: 1-5 - [d1]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 (espnet-v.202310). Zenodo, 2023
- [i29]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 abs/2302.07928 (2023) - [i28]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 abs/2304.08707 (2023) - [i27]Zhong-Qiu Wang, Shinji Watanabe:
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures. CoRR abs/2305.20054 (2023) - [i26]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 abs/2306.13734 (2023) - [i25]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 abs/2307.12231 (2023) - [i24]Bingxue Wang, Liwen Zou, Jun Chen, Yingying Cao, Zhenghua Cai, Yudong Qiu, Liang Mao, Zhongqiu Wang, Jingya Chen, Luying Gui, Xiaoping Yang:
A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors. CoRR abs/2307.14603 (2023) - [i23]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 abs/2309.08348 (2023) - [i22]Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian:
Toward Universal Speech Enhancement for Diverse Input Conditions. CoRR abs/2309.17384 (2023) - [i21]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 abs/2310.08277 (2023) - 2022
- [j22]Zhongqiu Wang, Shixiong Xia, Fengrong Zhang:
Further study on indecomposable cryptographic functions. Frontiers Comput. Sci. 17(2): 172803 (2022) - [j21]Mingyuan Li, Xinan Yue, Feng Ding, Baiqi Ning, Junyi Wang, Ning Zhang, Junhao Luo, Lijia Huang, Yonghui Wang, Zhongqiu Wang:
Focused Lunar Imaging Experiment Using the Back Projection Algorithm Based on Sanya Incoherent Scatter Radar. Remote. Sens. 14(9): 2048 (2022) - [j20]Zhong-Qiu Wang, Shinji Watanabe:
Improving Frame-Online Neural Speech Enhancement With Overlapped-Frame Prediction. IEEE Signal Process. Lett. 29: 1422-1426 (2022) - [j19]Ke Tan, Zhong-Qiu Wang, DeLiang Wang:
Neural Spectrospatial Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 30: 605-621 (2022) - [j18]Mingyuan Li, Xinan Yue, Yonghui Wang, Junyi Wang, Feng Ding, Juha P. Vierinen, Ning Zhang, Zhongqiu Wang, Baiqi Ning, Biqiang Zhao, Lingqi Zeng:
Moon Imaging Technique and Experiments Based on Sanya Incoherent Scatter Radar. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c36]Zhong-Qiu Wang, DeLiang Wang:
Localization based Sequential Grouping for Continuous Speech Separation. ICASSP 2022: 281-285 - [c35]Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. ICASSP 2022: 526-530 - [c34]Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
Locate This, Not that: Class-Conditioned Sound Event DOA Estimation. ICASSP 2022: 711-715 - [c33]Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao:
Conditional Diffusion Probabilistic Model for Speech Enhancement. ICASSP 2022: 7402-7406 - [c32]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: 9201-9205 - [c31]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: 5458-5462 - [i20]Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao:
Conditional Diffusion Probabilistic Model for Speech Enhancement. CoRR abs/2202.05256 (2022) - [i19]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 abs/2202.12298 (2022) - [i18]Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
Locate This, Not That: Class-Conditioned Sound Event DOA Estimation. CoRR abs/2203.04197 (2022) - [i17]Zhong-Qiu Wang, Shinji Watanabe:
Improving Frame-Online Neural Speech Enhancement with Overlapped-Frame Prediction. CoRR abs/2204.07566 (2022) - [i16]Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux:
STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency. CoRR abs/2204.09911 (2022) - [i15]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 abs/2207.09514 (2022) - [i14]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 abs/2209.03952 (2022) - [i13]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 abs/2211.12433 (2022) - [i12]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 abs/2212.07327 (2022) - 2021
- [j17]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
On the Compensation Between Magnitude and Phase in Speech Separation. IEEE Signal Process. Lett. 28: 2018-2022 (2021) - [j16]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: 2001-2014 (2021) - [j15]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: 3476-3490 (2021) - [c30]Zhong-Qiu Wang, DeLiang Wang:
Count And Separate: Incorporating Speaker Counting For Continuous Speaker Separation. ICASSP 2021: 11-15 - [c29]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: 905-911 - [c28]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Reverberant Speech Separation. WASPAA 2021: 56-60 - [c27]Gordon Wichern, Ankush Chakrabarty, Zhong-Qiu Wang, Jonathan Le Roux:
Anomalous Sound Detection Using Attentive Neural Processes. WASPAA 2021: 186-190 - [i11]Zhong-Qiu Wang, DeLiang Wang:
Localization Based Sequential Grouping for Continuous Speech Separation. CoRR abs/2107.06853 (2021) - [i10]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
On The Compensation Between Magnitude and Phase in Speech Separation. CoRR abs/2108.05470 (2021) - [i9]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Reverberant Speech Separation. CoRR abs/2108.07194 (2021) - [i8]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. CoRR abs/2108.07376 (2021) - [i7]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement. CoRR abs/2110.00570 (2021) - [i6]Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. CoRR abs/2110.09958 (2021) - 2020
- [j14]Yongkang Liu, Wenzhong Wu, Xiao Chen, Minghua Wu, Gang Hu, Guoxing Zhou, Zhongqiu Wang, Rong Chen:
Aberrant Correlation Between the Default Mode and Salience Networks in Mild Traumatic Brain Injury. Frontiers Comput. Neurosci. 14: 68 (2020) - [j13]Zhongqiu Wang, Guan Yuan, Haoran Pei, Yanmei Zhang, Xiao Liu:
Unsupervised learning trajectory anomaly detection algorithm based on deep representation. Int. J. Distributed Sens. Networks 16(12): 155014772097150 (2020) - [j12]Zhong-Qiu Wang, DeLiang Wang:
Deep Learning Based Target Cancellation for Speech Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 941-950 (2020) - [j11]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: 1293-1302 (2020) - [j10]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: 1778-1787 (2020) - [c26]Zhong-Qiu Wang, DeLiang Wang:
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. ICASSP 2020: 486-490 - [i5]Zhong-Qiu Wang, DeLiang Wang:
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. CoRR abs/2003.01861 (2020) - [i4]Zhong-Qiu Wang, Peidong Wang, DeLiang Wang:
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation. CoRR abs/2010.01703 (2020)
2010 – 2019
- 2019
- [j9]Guan Yuan, Zhongqiu Wang, Zhixiao Wang, Fukai Zhang, Li Yuan, Jian Zhang:
APDS: A framework for discovering movement pattern from trajectory database. Int. J. Distributed Sens. Networks 15(11) (2019) - [j8]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): 53-62 (2019) - [j7]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): 178-188 (2019) - [j6]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): 457-468 (2019) - [c25]Zhong-Qiu Wang, Ke Tan, DeLiang Wang:
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. ICASSP 2019: 71-75 - [c24]Hassan Taherian, Zhong-Qiu Wang, DeLiang Wang:
Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments. INTERSPEECH 2019: 4070-4074 - [c23]Zhi-Cheng Li, Guangyu Wu, Jinheng Zhang, Zhongqiu Wang, Guiqin Liu, Dong Liang:
Towards an Interpretable Radiomics Model for Classifying Renal Cell Carcinomas Subtypes: A Radiogenomics Assessment. ISBI 2019: 1288-1292 - [i3]Zhong-Qiu Wang, Scott Wisdom, Kevin W. Wilson, John R. Hershey:
Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement. CoRR abs/1911.07953 (2019) - 2018
- [j5]Zhongqiu Wang, Ying Chen, Hai Wang:
Sequence-Based Indoor Localization with Channel Status Information. Sensors 18(6): 1818 (2018) - [c22]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: 1-5 - [c21]Zhong-Qiu Wang, Jonathan Le Roux, John R. Hershey:
Alternative Objective Functions for Deep Clustering. ICASSP 2018: 686-690 - [c20]Zhong-Qiu Wang, DeLiang Wang:
Mask Weighted Stft Ratios for Relative Transfer Function Estimation and ITS Application to Robust ASR. ICASSP 2018: 5619-5623 - [c19]Zhong-Qiu Wang, DeLiang Wang:
On Spatial Features for Supervised Speech Separation and its Application to Beamforming and Robust ASR. ICASSP 2018: 5709-5713 - [c18]Hongru Wang, Zhongqiu Wang, Guang Yang, Xuhu Wang, Xinjie Wang:
Underwater and under-ice experimental research of blind adaptive virtual multiuser detection based on LMS. ICSPCC 2018: 1-4 - [c17]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: 1-4 - [c16]Zhong-Qiu Wang, Xueliang Zhang, DeLiang Wang:
Robust TDOA Estimation Based on Time-Frequency Masking and Deep Neural Networks. INTERSPEECH 2018: 322-326 - [c15]Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang, John R. Hershey:
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction. INTERSPEECH 2018: 2708-2712 - [c14]Zhong-Qiu Wang, DeLiang Wang:
Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation. INTERSPEECH 2018: 2718-2722 - [c13]Zhong-Qiu Wang, DeLiang Wang:
All-Neural Multi-Channel Speech Enhancement. INTERSPEECH 2018: 3234-3238 - [i2]Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang, John R. Hershey:
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction. CoRR abs/1804.10204 (2018) - [i1]Zhong-Qiu Wang, Ke Tan, DeLiang Wang:
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. CoRR abs/1811.09010 (2018) - 2017
- [c12]Zhong-Qiu Wang, DeLiang Wang:
Recurrent deep stacking networks for supervised speech separation. ICASSP 2017: 71-75 - [c11]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: 276-280 - [c10]Zhong-Qiu Wang, DeLiang Wang:
Unsupervised speaker adaptation of batch normalized acoustic models for robust ASR. ICASSP 2017: 4890-4894 - [c9]Zhong-Qiu Wang, Ivan Tashev:
Learning utterance-level representations for speech emotion and age/gender recognition using deep neural networks. ICASSP 2017: 5150-5154 - [c8]Yan Zhao, Zhong-Qiu Wang, DeLiang Wang:
A two-stage algorithm for noisy and reverberant speech enhancement. ICASSP 2017: 5580-5584 - [c7]Ivan J. Tashev, Zhong-Qiu Wang, Keith W. Godin:
Speech emotion recognition based on Gaussian Mixture Models and Deep Neural Networks. ITA 2017: 1-4 - 2016
- [j4]Zhong-Qiu Wang, DeLiang Wang:
A Joint Training Framework for Robust Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 796-806 (2016) - [c6]Zhong-Qiu Wang, Yan Zhao, DeLiang Wang:
Phoneme-specific speech separation. ICASSP 2016: 146-150 - [c5]Zhong-Qiu Wang, DeLiang Wang:
Robust speech recognition from ratio masks. ICASSP 2016: 5720-5724 - 2015
- [c4]Deblin Bagchi, Michael I. Mandel, Zhongqiu Wang, Yanzhang He, Andrew R. Plummer, Eric Fosler-Lussier:
Combining spectral feature mapping and multi-channel model-based source separation for noise-robust automatic speech recognition. ASRU 2015: 496-503 - [c3]Zhong-Qiu Wang, DeLiang Wang:
Joint training of speech separation, filterbank and acoustic model for robust automatic speech recognition. INTERSPEECH 2015: 2839-2843 - 2014
- [j3]Yongkang Liu, Tianyao Wang, Xiao Chen, Jianhua Zhang, Guoxing Zhou, Zhongqiu Wang, Rong Chen:
Tract-Based Bayesian Multivariate Analysis of Mild Traumatic Brain Injury. Comput. Math. Methods Medicine 2014: 120182:1-120182:4 (2014) - [j2]Rong Chen, Zhongqiu Wang, Yuanjie Zheng:
Advanced Medical Image Analysis. Comput. Math. Methods Medicine 2014: 975372:1 (2014) - [c2]Zhongqiu Wang, Zhen Wang, Hongru Wang, Jun-cheng Wang:
Blind adaptive multi-user detection technique based on improved Kalman filter for underwater acoustic communication. FSKD 2014: 771-776 - [c1]Yang Liu, Zhongqiu Wang, Maozu Guo, Ping Li:
Hidden conditional random field for lung nodule detection. ICIP 2014: 3518-3521
2000 – 2009
- 2007
- [j1]Guang Ming Lu, Zhongqiu Wang, Hong Zhu, Linfeng Chang, Yingxin Chen, Jiang Wu, Yane Zhao:
The Advantage of PET and CT Integration in Examination of Lung Tumors. Int. J. Biomed. Imaging 2007: 17131:1-17131:5 (2007)
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-22 20:16 CEST by the dblp team
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