deeplearningsources​eparation

Deep Recurrent Neural Networks for Source Separation
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Updated 26 Nov 2020

Deep Learning For Monaural Source Separation

Cite As

P.-S. Huang, M. Kim, M. Hasegawa-Johnson, P. Smaragdis, "Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation", IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 23, no. 12, pp. 2136–2147, Dec. 2015

P.-S. Huang, M. Kim, M. Hasegawa-Johnson, P. Smaragdis, "Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks," in International Society for Music Information Retrieval Conference (ISMIR) 2014.

P.-S. Huang, M. Kim, M. Hasegawa-Johnson, P. Smaragdis, "Deep Learning for Monaural Speech Separation," in IEEE International Conference on Acoustic, Speech and Signal Processing 2014.

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
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Version Published Release Notes
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
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