COST278 and ISCA Tutorial and Research Workshop (ITRW) on Robustness Issues in Conversational Interaction
University of East Anglia, Norwich, UK
This paper describes two algorithms for speech/pause detection based on Hidden Markov Models. There are proposed algorithm based on separate training and testing and algorithm on simultaneous training-testing procedure. Algorithm are compared to the differential cepstral detector. HMM based algorithms are successful especially under low SNR . Under higher SNR they reach comparable results to the cepstral detector.
Bibliographic reference. Tatarinov, Jirí / Pollák, Petr (2004): "Hidden Markov models in voice activity detection", In Robust2004, paper 37.