AWARD    Best Student Paper Award at IEEE ICASSP 2018

Date:

April 17, 2018

Awarded to:

Zhong-Qiu Wang

Description:

Former MERL intern Zhong-Qiu Wang (Ph.D. Candidate at Ohio State University) has received a Best Student Paper Award at the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018) for the paper "Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation" by Zhong-Qiu Wang, Jonathan Le Roux, and John Hershey. The paper presents work performed during Zhong-Qiu's internship at MERL in the summer 2017, extending MERL's pioneering Deep Clustering framework for speech separation to a multi-channel setup. The award was received on behalf on Zhong-Qiu by MERL researcher and co-author Jonathan Le Roux during the conference, held in Calgary April 15-20.

Research Area:

Speech & Audio

• Related Publications

   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}
  • }