Multichannel Audio Source Separation With Deep Neural Networks

Aditya Arie Nugraha; Antoine Liutkus; Emmanuel Vincent

doi:10.1109/taslp.2016.2580946

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Multichannel Audio Source Separation With Deep Neural Networks

Aditya Arie Nugraha Antoine Liutkus Emmanuel Vincent

Year: 2016 Journal: IEEE/ACM Transactions on Audio Speech and Language Processing Vol: 24 (9)Pages: 1652-1664 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/taslp.2016.2580946

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Abstract

International audience

Keywords:

Computer science Source separation Non-negative matrix factorization Divergence (linguistics) Artificial neural network Algorithm Wiener filter Speech enhancement Mixture model Kullback–Leibler divergence Speech recognition Matrix decomposition Artificial intelligence Noise reduction

Metrics

290

Cited By

32.62

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Multichannel Audio Source Separation With Deep Neural Networks

Abstract

Metrics

Citation History

Topics

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