Title: Automatic segmentation for czech concatenative speech synthesis using statistical approach with boundary-specific correction
Authors: Matoušek, Jindřich
Tihelka, Daniel
Psutka, Josef
Citation: MATOUŠEK, JindŘich; TIHELKA, Daniel; PSUTKA, Josef. Automatic segmentation for czech concatenative speech synthesis using statistical approach with boundary-specific correction. In: Eurospeech 2003 - Interspeech: proceedings of the 8th European Conference on Speech Communication and Technology, 1-4 September 2003, Geneva, Switzerland. [Baixas]: ISCA, 2003, p. 301-304. ISSN 1018-4074.
Issue Date: 2003
Publisher: ISCA
Document type: článek
URI: http://hdl.handle.net/11025/17031
ISSN: 1018-4074
Keywords: segmentace řeči s využitím HMM;posouvání­ HTK hranic;inicializace HMM;hranice specifické pro statistické korekce;objektivní­ srovnání
Keywords in different language: HMM-based speech segmentation;shifting HTK boundaries;HMM initialization;boundary-specific statistical correction;objective comparison
Abstract in different language: This paper deals with the problems of automatic segmentation for the purposes of Czech concatenative speech synthesis. Statistical approach to speech segmentation using HMMs is applied in the baseline system. Several improvements of this system are then proposed to get more accurate segmentation results. These enhancements mainly concern the various strategies of HMM initialization (flat-start initialization, hand-labeled or speaker independent HMM bootstrapping). Since HTK was utilized in our work, a correction of the output boundary placements is proposed to reflect speech parameterization mechanism. An objective comparison of various automatic methods and manual segmentation is performed to find out the best method. The best results were obtained for boundary-specific statistical correction of the segmentation that resulted from bootstrapping with hand-labeled HMMs (96% segmentation accuracy in tolerance region 20ms).
Rights: © Jindřichich Matoušek - Daniel Tihelka - Josef Psutka
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