Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training

Morten Kolbæk; Dong  Yu; Zheng-Hua Tan; Jesper Jensen

doi:10.1109/MLSP.2017.8168152

Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training

Morten Kolbæk, Dong Yu, Zheng-Hua Tan, Jesper Jensen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

21 Citations (Scopus)

Original language	English
Title of host publication	International Workshop on Machine Learning for Signal Processing (MLSP)
Number of pages	6
Publisher	IEEE
Publication date	2017
ISBN (Electronic)	978-1-5090-6341-3
DOIs	https://doi.org/10.1109/MLSP.2017.8168152
Publication status	Published - 2017
Event	2017 IEEE 27th International Workshop on Machine Learning for Signal Processing - Tokyo, Japan Duration: 25 Sept 2017 → 28 Sept 2017 Conference number: 27th http://mlsp2017.conwiz.dk/home.htm

Conference

Conference	2017 IEEE 27th International Workshop on Machine Learning for Signal Processing
Number	27th
Country/Territory	Japan
City	Tokyo
Period	25/09/2017 → 28/09/2017
Internet address	http://mlsp2017.conwiz.dk/home.htm

Series	IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Proceedings.

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10.1109/MLSP.2017.8168152

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@inproceedings{807d102f33a74039b3e0e7840f9f42d5,

title = "Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training",

author = "Morten Kolb{\ae}k and Dong Yu and Zheng-Hua Tan and Jesper Jensen",

year = "2017",

doi = "10.1109/MLSP.2017.8168152",

language = "English",

series = "IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Proceedings.",

publisher = "IEEE",

booktitle = "International Workshop on Machine Learning for Signal Processing (MLSP)",

address = "United States",

note = "2017 IEEE 27th International Workshop on Machine Learning for Signal Processing, MLSP2017 ; Conference date: 25-09-2017 Through 28-09-2017",

url = "http://mlsp2017.conwiz.dk/home.htm",

}

Kolbæk, M, Yu, D, Tan, Z-H & Jensen, J 2017, Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training. in International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Proceedings., 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing, Tokyo, Japan, 25/09/2017. https://doi.org/10.1109/MLSP.2017.8168152

Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training. / Kolbæk, Morten; Yu, Dong ; Tan, Zheng-Hua et al.
International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2017. (IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Proceedings.).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training

AU - Kolbæk, Morten

AU - Yu, Dong

AU - Tan, Zheng-Hua

AU - Jensen, Jesper

N1 - Conference code: 27th

PY - 2017

Y1 - 2017

UR - http://www.scopus.com/inward/record.url?scp=85042320147&partnerID=8YFLogxK

U2 - 10.1109/MLSP.2017.8168152

DO - 10.1109/MLSP.2017.8168152

M3 - Article in proceeding

T3 - IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Proceedings.

BT - International Workshop on Machine Learning for Signal Processing (MLSP)

PB - IEEE

T2 - 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing

Y2 - 25 September 2017 through 28 September 2017

ER -

Kolbæk M, Yu D, Tan Z-H , Jensen J. Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training. In International Workshop on Machine Learning for Signal Processing (MLSP). IEEE. 2017. (IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Proceedings.). doi: 10.1109/MLSP.2017.8168152

Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training

Conference

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