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An HMM-based speech synthesis system applied to English

·2002·Proceedings of 2002 IEEE Workshop on Speech Synthesis 2002 WSS-02

Abstract

This paper describes an HMM-based speech synthesis system (HTS), in which the speech waveform is generated from HMM themselves, and applies it to English speech synthesis using the general speech synthesis architecture of Festival. Similarly to other data-driven speech synthesis approaches, HTS has a compact language dependent module: a list of contextual factors. Thus, it could easily be extended to other languages, though the first version of HTS was implemented for Japanese. The resulting run-time engine of HTS has the advantage of being small: less than 1 Mbyte, excluding text analysis part. Furthermore, HTS can easily change voice characteristics of synthesized speech by using a speaker adaptation technique developed for speech recognition. The relation between the HMM-based approach and other unit selection approaches is also discussed.

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Metadata

Venue
Proceedings of 2002 IEEE Workshop on Speech Synthesis 2002 WSS-02
Publisher
IEEE
Published
2002
Pages
227-230
OpenAlex
W344150399
Cited by
319
References
0
FWCI
1.63
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: An HMM-based speech synthesis system applied to English. https://app.cochat.ai/papers/10.1109/wss.2002.1224415
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An HMM-based speech synthesis system applied to English. (2002). Proceedings of 2002 IEEE Workshop on Speech Synthesis 2002 WSS-02. https://doi.org/10.1109/wss.2002.1224415

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.