EVENT    John Hershey Invited to Speak at Deep Learning Summit 2016 in Boston

Date:

Thursday, May 12, 2016 - Friday, May 13, 2016

Location:

Deep Learning Summit, Boston, MA

Description:

MERL Speech and Audio Senior Team Leader John Hershey is among a set of high-profile researchers invited to speak at the Deep Learning Summit 2016 in Boston on May 12-13, 2016. John will present the team's groundbreaking work on general sound separation using a novel deep learning framework called Deep Clustering. For the first time, an artificial intelligence is able to crack the half-century-old "cocktail party problem", that is, to isolate the speech of a single person from a mixture of multiple unknown speakers, as humans do when having a conversation in a loud crowd.

External Link:

https://www.re-work.co/events/deep-learning-boston-2016

Research Area:

Speech & Audio

• Related Publications

   Hershey, J.R., Chen, Z., Le Roux, J., Watanabe, S., "Deep Clustering: Discriminative Embeddings for Segmentation and Separation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP.2016.7471631, March 2016, pp. 31-35.

  BibTeX TR2016-003 PDF

  • @inproceedings{Hershey2016mar,
  • author = {Hershey, John R. and Chen, Zhuo and Le Roux, Jonathan and Watanabe, Shinji},
  • title = {Deep Clustering: Discriminative Embeddings for Segmentation and Separation},
  • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  • year = 2016,
  • pages = {31--35},
  • month = mar,
  • doi = {10.1109/ICASSP.2016.7471631},
  • url = {https://www.merl.com/publications/TR2016-003}
  • }