Non-negative Matrix Factorization and DenseNet based Monophonic Singing Voice Separation
Author:
Affiliation:
1. Communication University of China,Information and Communication Engineering School,Beijing,China
2. China Film Archive,Beijing,China
3. University of China,Key Laboratory of Media Audio & Video, Ministry of Education, Communication,Beijing,China
Funder
NSFC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10019340/10019341/10020084.pdf?arnumber=10020084
Reference21 articles.
1. Deep Learning Based Speech Separation Technology and Its Developments;liu;ACTA Automatica Sinica,2016
2. Densely Connected Convolutional Networks, IEEE Computer Society;huang;IEEE Computer Society,2016
3. DenseNet: Implementing Efficient ConvNet Descriptor Pyramids;iandola;ArXiv eprint,2014
4. Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes;akiba;arXiv Distributed Parallel and Cluster Computing,2017
5. Performance measurement in blind audio source separation;vincent;IEEE Transactions on Audio Speech and Language Processing,2006
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