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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

22 Citationer (Scopus)

Originalsprog	Engelsk
Titel	International Workshop on Machine Learning for Signal Processing (MLSP)
Antal sider	6
Forlag	IEEE (Institute of Electrical and Electronics Engineers)
Publikationsdato	2017
ISBN (Elektronisk)	978-1-5090-6341-3
DOI	https://doi.org/10.1109/MLSP.2017.8168152
Status	Udgivet - 2017
Begivenhed	2017 IEEE 27th International Workshop on Machine Learning for Signal Processing - Tokyo, Japan Varighed: 25 sep. 2017 → 28 sep. 2017 Konferencens nummer: 27th http://mlsp2017.conwiz.dk/home.htm

Konference

Konference	2017 IEEE 27th International Workshop on Machine Learning for Signal Processing
Nummer	27th
Land/Område	Japan
By	Tokyo
Periode	25/09/2017 → 28/09/2017
Internetadresse	http://mlsp2017.conwiz.dk/home.htm

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

Adgang til dokumentet

10.1109/MLSP.2017.8168152

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Citationsformater

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

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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 (Institute of Electrical and Electronics Engineers)",

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

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

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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. i International Workshop on Machine Learning for Signal Processing (MLSP). IEEE (Institute of Electrical and Electronics Engineers), 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 (Institute of Electrical and Electronics Engineers), 2017. (IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Proceedings.).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › 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 (Institute of Electrical and Electronics Engineers)

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 ZH , Jensen J. Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training. I International Workshop on Machine Learning for Signal Processing (MLSP). IEEE (Institute of Electrical and Electronics Engineers). 2017. (IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Proceedings.). doi: 10.1109/MLSP.2017.8168152