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Vowel Creation by Articulatory Control in HMM-based Parametric Speech Synthesis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationINTERSPEECH 2012 13th Annual Conference of the International Speech Communication Association
Pages72
Number of pages1
Publication statusPublished - Sep 2012
EventINTERSPEECH 2012 - 13th Annual Conference of the International Speech Communication Association - Portland, Oregon, United States
Duration: 9 Sep 201213 Sep 2012

Conference

ConferenceINTERSPEECH 2012 - 13th Annual Conference of the International Speech Communication Association
CountryUnited States
CityPortland, Oregon
Period9/09/1213/09/12

Abstract

This paper presents a method to produce a new vowel by articulatory control in hidden Markov model (HMM) based parametric speech synthesis. A multiple regression HMM (MRHMM) is adopted to model the distribution of acoustic features, with articulatory features used as external auxiliary variables. The dependency between acoustic and articulatory features is modelled by a group of linear transforms that are either estimated context-dependently or determined by the distribution of articulatory features. Vowel identity is removed from the set of context features used to ensure compatibility between the context-dependent model parameters and the articulatory features of a new vowel. At synthesis time, acoustic features are predicted according to the input articulatory features as well as context information. With an appropriate articulatory feature sequence, a new vowel can be generated even when it does not exist in the training set. Experimental results show this method is effective in creating the English vowel /2/ by articulatory control without using any acoustic samples of this vowel.

Event

INTERSPEECH 2012 - 13th Annual Conference of the International Speech Communication Association

9/09/1213/09/12

Portland, Oregon, United States

Event: Conference

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