SPEECH/MUSIC DISCRIMINATION FOR RADIO BROADCASTS USING A HYBRID HMM-BAYESIAN NETWORK ARCHITECTURE

Speech processing applications such as speech enhancement and speaker identification rely on the estimation of relevant parameters from the speech signal. These parameters must often be estimated from noisy observations since speech signals are r

PROBABILISTIC MODELING and BAYESIAN NETWORKS FOR AUTOMATIC SPEECH RECOGNITION

Bayesian estimator based on the modified Itakura-Saito for speech enhancement Implements the Bayesian estimator based on the modified Itakura-Saito Noise magnitude calculations - assuming that the first 6 frames is noise/silence