Joint optimization of recurrent networks exploiting source auto-regression for source separation.
Shuai NieWei XueShan LiangXueliang ZhangWenju LiuLiwei QiaoJianping LiPublished in: INTERSPEECH (2015)
Keyphrases
- joint optimization
- source separation
- recurrent networks
- blind source separation
- source signals
- recurrent neural networks
- sparse representation
- simple linear
- independent component analysis
- feed forward
- biologically inspired
- denoising
- regression model
- neural network
- data sets
- signal processing
- single channel
- image processing
- feature selection
- multiscale
- machine learning
- genetic algorithm
- temporal structure
- support vector
- nearest neighbor
- image features
- pattern recognition