Glottal inverse filtering by combining a constrained LP and an HMM-based generative model of glottal flow derivative

Glottal flow is expected to convey useful information that can be effectively used in several speech applications, such as speech synthesis, expressive speech processing, speaker recognition, and voice-based biomedical engineering. Glottal inverse filtering (GIF) estimates the glottal flow that cann...

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Veröffentlicht in:	Speech communication 2018-11, Vol.104, p.113-128
1. Verfasser:	Sasou, Akira
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Anatomical systems AR-HMM Autoregressive models Biomedical engineering Covariance Derivatives Filtration Frequencies Fundamental frequency Glottal flow Glottal inverse filtering Linear prediction Markov analysis Markov chains Model testing Optimization Regression analysis Resonant frequencies Speaker identification Speech Speech analysis Speech processing Speech recognition Speech synthesis Test sets Vocal tract Voice recognition
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