Non-negative matrix factorization as noise-robust feature extractor for speech recognition.
Björn W. SchullerFelix WeningerMartin WöllmerYang SunGerhard RigollPublished in: ICASSP (2010)
Keyphrases
- speech recognition
- negative matrix factorization
- noisy environments
- feature extractor
- hidden markov models
- language model
- speech signal
- matrix factorization
- pattern recognition
- sparse representation
- principal component analysis
- data sets
- document clustering
- spectral clustering
- noise reduction
- gaussian mixture model
- missing data
- machine learning