Hidden Markov Models as Priors for Regularized Nonnegative Matrix Factorization in Single-Channel Source Separation.
Emad M. GraisHakan ErdoganPublished in: INTERSPEECH (2012)
Keyphrases
- hidden markov models
- single channel
- source separation
- prior information
- multi channel
- matrix factorization
- independent component analysis
- negative matrix factorization
- speech recognition
- frequency domain
- least squares
- wiener filter
- wavelet decomposition
- bayesian framework
- principal component analysis
- spectral clustering
- prior knowledge
- signal processing
- information retrieval
- machine learning
- cluster analysis
- probabilistic model
- bit rate
- generative model
- multiresolution
- recommender systems
- pattern recognition
- denoising
- brain activity
- image processing