A DNN-HMM Approach to Non-Negative Matrix Factorization Based Speech Enhancement.
Ziteng WangXu LiXiaofei WangQiang FuYonghong YanPublished in: INTERSPEECH (2016)
Keyphrases
- negative matrix factorization
- speech enhancement
- speech signal
- hidden markov models
- noisy speech
- speech recognition
- noisy environments
- noise reduction
- signal to noise ratio
- vocal tract
- single channel
- automatic speech recognition
- matrix factorization
- document clustering
- linear prediction
- sparse representation
- principal component analysis
- background noise
- smoothing algorithm
- wiener filter
- least squares
- spectral clustering
- non stationary
- face recognition
- collaborative filtering
- co occurrence
- edge detection