Semi-Supervised Speech Enhancement Combining Nonnegative Matrix Factorization and Robust Principal Component Analysis.
Yonggang HuXiongwei ZhangXia ZouMeng SunYunfei ZhengGang MinPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2017)
Keyphrases
- nonnegative matrix factorization
- semi supervised
- robust principal component analysis
- low rank
- speech enhancement
- matrix factorization
- negative matrix factorization
- semi supervised learning
- data representation
- noise reduction
- least squares
- supervised learning
- signal to noise ratio
- labeled data
- pairwise
- speech signal
- missing data
- unsupervised learning
- document clustering
- spectral clustering
- data sets
- collaborative filtering
- matrix completion
- principal component analysis
- active learning
- original data
- linear combination
- edge detection
- recommender systems
- low rank matrix
- computer vision
- data mining