Phoneme-dependent NMF for speech enhancement in monaural mixtures
Bhiksha Raj, Rita Singh, Tuomas I. Virtanen · 2011
The problem of separating speech signals out of monaural mix-tures (with other non-speech or speech signals) has become in-creasingly popular in recent times. Among the various solutions proposed, the most popular methods are based on compositional models such as non-negative matrix factorization (NMF) and latent variable models. Although these techniques are highly effective they largely ignore the inherently phonetic nature of speech. In this paper we present a phoneme-dependent NMF-based algorithm to separate speech from monaural mixtures. Experiments performed on speech mixed with music indicate that the proposed algorithm can result in significant improve-ment in separation performance, over conventional NMF-based separation. Index terms: Monaural signal separation, speech enhance-ment, restoration, Non-negative matrix factorization. 1.