Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization.
Nasser MohammadihaParis SmaragdisArne LeijonPublished in: CoRR (2017)
Keyphrases
- nonnegative matrix factorization
- speech enhancement
- unsupervised feature selection
- semi supervised
- unsupervised learning
- supervised learning
- noise reduction
- noisy environments
- signal to noise ratio
- single channel
- matrix factorization
- data representation
- negative matrix factorization
- speech signal
- linear prediction
- least squares
- principal component analysis
- spectral clustering
- vocal tract
- document clustering
- pairwise
- wiener filter
- information retrieval
- smoothing algorithm
- training data
- feature extraction
- automatic speech recognition
- machine learning
- feature selection
- speech recognition
- recommender systems
- collaborative filtering