Permutation invariant training of deep models for speaker-independent multi-talker speech separation

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

58 Citations (Scopus)
Original languageEnglish
Title of host publicationInternational Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Publication date19 Jun 2017
Pages241 - 245
ISBN (Electronic)978-1-5090-4117-6
DOIs
Publication statusPublished - 19 Jun 2017
EventThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing: The Internet of Signals - New Orleans, United States
Duration: 5 Mar 20179 Mar 2017
http://www.ieee-icassp2017.org/
http://www.ieee-icassp2017.org/

Conference

ConferenceThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
CountryUnited States
CityNew Orleans
Period05/03/201709/03/2017
Internet address

Cite this

Yu, Dong ; Kolbæk, Morten ; Tan, Zheng-Hua ; Jensen, Jesper. / Permutation invariant training of deep models for speaker-independent multi-talker speech separation. International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. pp. 241 - 245
@inproceedings{09649e0f6ff548a7aea45fc9c815f970,
title = "Permutation invariant training of deep models for speaker-independent multi-talker speech separation",
author = "Dong Yu and Morten Kolb{\ae}k and Zheng-Hua Tan and Jesper Jensen",
year = "2017",
month = "6",
day = "19",
doi = "10.1109/ICASSP.2017.7952154",
language = "English",
pages = "241 -- 245",
booktitle = "International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
publisher = "IEEE",
address = "United States",

}

Yu, D, Kolbæk, M, Tan, Z-H & Jensen, J 2017, Permutation invariant training of deep models for speaker-independent multi-talker speech separation. in International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 241 - 245, The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, United States, 05/03/2017. https://doi.org/10.1109/ICASSP.2017.7952154

Permutation invariant training of deep models for speaker-independent multi-talker speech separation. / Yu, Dong; Kolbæk, Morten; Tan, Zheng-Hua; Jensen, Jesper.

International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. p. 241 - 245.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Permutation invariant training of deep models for speaker-independent multi-talker speech separation

AU - Yu, Dong

AU - Kolbæk, Morten

AU - Tan, Zheng-Hua

AU - Jensen, Jesper

PY - 2017/6/19

Y1 - 2017/6/19

U2 - 10.1109/ICASSP.2017.7952154

DO - 10.1109/ICASSP.2017.7952154

M3 - Article in proceeding

SP - 241

EP - 245

BT - International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - IEEE

ER -