A comparative study on sparsity penalties for NMF-based speech separation: Beyond LP-norms.
Cyril JoderFelix WeningerDavid ViretteBjörn W. SchullerPublished in: ICASSP (2013)
Keyphrases
- sparsity inducing
- variable selection
- structured sparsity
- negative matrix factorization
- sparse learning
- nonnegative matrix factorization
- linear programming
- sparse regression
- sparsity constraints
- sparse representation
- speech recognition
- group lasso
- speech signal
- recognition engine
- linear program
- speech synthesis
- tensor factorization
- text to speech
- matrix factorisation
- automatic speech recognition
- high dimensional
- convex optimization problems
- frequent sets
- objective function
- audio visual
- dialogue system
- spoken language
- pattern recognition
- matrix factorization
- document clustering
- data sets
- dynamic programming
- least squares
- comparative study
- data representation
- multi task
- multiple kernel learning