Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation

Keisuke Kinoshita, Thilo von Neumann, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach. Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation. In Helen Meng, Bo Xu 0011, Thomas Fang Zheng, editors, Interspeech 2020, 21st Annual Conference of the International Speech Communication Association, Virtual Event, Shanghai, China, 25-29 October 2020. pages 2652-2656, ISCA, 2020. [doi]

@inproceedings{KinoshitaNDNH20,
  title = {Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation},
  author = {Keisuke Kinoshita and Thilo von Neumann and Marc Delcroix and Tomohiro Nakatani and Reinhold Haeb-Umbach},
  year = {2020},
  doi = {10.21437/Interspeech.2020-2388},
  url = {https://doi.org/10.21437/Interspeech.2020-2388},
  researchr = {https://researchr.org/publication/KinoshitaNDNH20},
  cites = {0},
  citedby = {0},
  pages = {2652-2656},
  booktitle = {Interspeech 2020, 21st Annual Conference of the International Speech Communication Association, Virtual Event, Shanghai, China, 25-29 October 2020},
  editor = {Helen Meng and Bo Xu 0011 and Thomas Fang Zheng},
  publisher = {ISCA},
}