Zhong-Qiu Wang

Zhong-Qiu Wang
  • Biography

    Zhong-Qiu's research interests include microphone array processing, speech enhancement, blind source/speaker separation, robust automatic speech recognition, machine learning, and deep learning.

  • Recent News & Events

    •  NEWS   Zhong-Qiu Wang joins MERL's Speech and Audio Team
      Date: June 22, 2020
      MERL Contact: Zhong-Qiu Wang
      Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
      Brief
      • We are excited to announce that Dr. Zhong-Qiu Wang, who recently obtained his Ph.D. from The Ohio State University, has joined MERL's Speech and Audio Team as a Visiting Research Scientist. Zhong-Qiu brings strong expertise in microphone array processing, speech enhancement, blind source/speaker separation, and robust automatic speech recognition, for which he has developed some of the most advanced machine learning and deep learning methods.

        Prior to joining MERL, Zhong-Qiu received the B.Eng. degree in 2013 from Harbin Institute of Technology, Harbin, China, and the M.Sc. and Ph.D. degree in 2017 and 2020 from The Ohio State University, Columbus, USA, all in Computer Science. He was a summer research intern at Microsoft Research, Mitsubishi Electric Research Laboratories, and Google AI. He received a Best Student Paper Award at ICASSP 2018 for his work as an intern at MERL, and a Graduate Research Award from OSU Department of Computer Science and Engineering in 2020.
    •  
  • MERL Publications

    •  Wang, Z.-Q., Le Roux, J., Wang, D., Hershey, J., "End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction", Interspeech, September 2018.
      BibTeX TR2018-135 PDF
      • @inproceedings{Wang2018sep,
      • author = {Wang, Zhong-Qiu and Le Roux, Jonathan and Wang, DeLiang and Hershey, John},
      • title = {End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction},
      • booktitle = {Interspeech},
      • year = 2018,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2018-135}
      • }
    •  Wang, Z.-Q., Le Roux, J., Hershey, J.R., "Alternative Objective Functions for Deep Clustering", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP.2018.8462507, April 2018, pp. 686-690.
      BibTeX TR2018-005 PDF
      • @inproceedings{Wang2018apr,
      • author = {Wang, Zhong-Qiu and Le Roux, Jonathan and Hershey, John R.},
      • title = {Alternative Objective Functions for Deep Clustering},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2018,
      • pages = {686--690},
      • month = apr,
      • doi = {10.1109/ICASSP.2018.8462507},
      • url = {https://www.merl.com/publications/TR2018-005}
      • }
    •  Wang, Z.-Q., Le Roux, J., Hershey, J.R., "Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP.2018.8461639, April 2018, pp. 1-5.
      BibTeX TR2018-007 PDF
      • @inproceedings{Wang2018apr2,
      • author = {Wang, Zhong-Qiu and Le Roux, Jonathan and Hershey, John R.},
      • title = {Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2018,
      • pages = {1--5},
      • month = apr,
      • doi = {10.1109/ICASSP.2018.8461639},
      • url = {https://www.merl.com/publications/TR2018-007}
      • }
  • Other Publications

    •  Zhong-Qiu Wang and DeLiang Wang, "Deep Learning Based Target Cancellation for Speech Dereverberation", IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 941-950, 2020.
      BibTeX
      • @Article{Wang2020,
      • author = {Wang, Zhong-Qiu and Wang, DeLiang},
      • title = {Deep Learning Based Target Cancellation for Speech Dereverberation},
      • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
      • year = 2020,
      • volume = 28,
      • pages = {941--950}
      • }
    •  Zhong-Qiu Wang, Peidong Wang and DeLiang Wang, "Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR", IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 1778-1787, 2020.
      BibTeX
      • @Article{Wang2020a,
      • author = {Wang, Zhong-Qiu and Wang, Peidong and Wang, DeLiang},
      • title = {Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR},
      • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
      • year = 2020,
      • volume = 28,
      • pages = {1778--1787}
      • }
    •  Zhong-Qiu Wang, Xueliang Zhang and DeLiang Wang, "Robust Speaker Localization Guided by Deep Learning Based Time-Frequency Masking", IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 27, No. 1, pp. 178-188, 2019.
      BibTeX
      • @Article{Wang2018h,
      • author = {Wang, Zhong-Qiu and Zhang, Xueliang and Wang, DeLiang},
      • title = {Robust Speaker Localization Guided by Deep Learning Based Time-Frequency Masking},
      • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
      • year = 2019,
      • volume = 27,
      • number = 1,
      • pages = {178--188}
      • }
    •  Zhong-Qiu Wang and DeLiang Wang, "Combining Spectral and Spatial Features for Deep Learning Based Blind Speaker Separation", IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 27, No. 2, pp. 457-468, 2019.
      BibTeX
      • @Article{Wang2018i,
      • author = {Wang, Zhong-Qiu and Wang, DeLiang},
      • title = {Combining Spectral and Spatial Features for Deep Learning Based Blind Speaker Separation},
      • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
      • year = 2019,
      • volume = 27,
      • number = 2,
      • pages = {457--468}
      • }
    •  Zhong-Qiu Wang and DeLiang Wang, "A Joint Training Framework for Robust Automatic Speech Recognition", IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 24, No. 4, pp. 796-806, 2016.
      BibTeX External
      • @Article{Wang2016,
      • author = {Wang, Zhong-Qiu and Wang, DeLiang},
      • title = {A Joint Training Framework for Robust Automatic Speech Recognition},
      • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
      • year = 2016,
      • volume = 24,
      • number = 4,
      • pages = {796--806},
      • url = {https://ieeexplore.ieee.org/document/7403942}
      • }
    •  P. Boufounos and R. G. Baraniuk, "Sigma Delta Quantization for Compressive Sensing", Proc. SPIE Waveletts XII, August 26-29 2007.
      BibTeX External
      • @Inproceedings{BB_SPIE07,
      • author = {Boufounos, P. and Baraniuk, R. G.},
      • title = {Sigma Delta Quantization for Compressive Sensing},
      • booktitle = {Proc. SPIE Waveletts XII},
      • year = 2007,
      • address = {San Diego, CA},
      • month = {August 26-29},
      • url = {http://dx.doi.org/10.1117/12.734880}
      • }
  • MERL Issued Patents

    • Title: "Methods and Systems for End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction"
      Inventors: Le Roux, Jonathan; Hershey, John R.; Wang, Zhongqiu; Wichern, Gordon P
      Patent No.: 10,529,349
      Issue Date: Jan 7, 2020
    See All Patents for MERL