Non-negative Matrix Factorization Based Noise Reduction for Noise Robust Automatic Speech Recognition.
Seon Man KimJi Hun ParkHong Kook KimSung Joo LeeYunkeun LeePublished in: LVA/ICA (2012)
Keyphrases
- noise reduction
- noisy environments
- negative matrix factorization
- automatic speech recognition
- signal to noise ratio
- noise level
- speech enhancement
- matrix factorization
- speech recognition
- edge detection
- median filter
- noise removal
- wiener filter
- document clustering
- speech signal
- sparse representation
- spectral clustering
- principal component analysis
- hidden markov models
- neural network
- text categorization
- recommender systems
- high dimensional
- multiscale
- clustering algorithm
- machine learning