Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis

Abstract

A statistical parametric approach to singing voice synthesis based on hidden Markov models (HMMs) has been growing in popularity over the last few years. The spectrum, excitation, vibrato, and duration of the singing voice in this approach are simultaneously modeled with context-dependent HMMs and waveforms are generated from the HMMs themselves. Since HMM… (More)
DOI: 10.1109/ICASSP.2014.6854062

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