Single-Channel Speech Separation Based on Non-negative Matrix Factorization and Factorial Conditional Random Field

A new Non-negative matrix factorization (NMF) based algorithm is proposed for single-channel speech separation with a prior known speakers, which aims to better model the spectral structure and temporal continuity of speech signal. First, NMF and k-means clustering are employed to obtain multiple small dictionaries as well as a state sequence that describes the temporal dynamics between these dict...