Tóth Bálint and Németh Géza: Improvements of Hungarian Hidden Markov Model-based text-to-speech synthesis. In: Acta cybernetica, (19) 4. pp. 715-731. (2010)
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Abstract
Statistical parametric, especially Hidden Markov Model-based, text-to-speech (TTS) synthesis has received much attention recently. The quality of HMM-based speech synthesis approaches that of the state-of-the-art unit selection systems and possesses numerous favorable features, e.g. small runtime footprint, speaker interpolation, speaker adaptation. This paper presents the improvements of a Hungarian HMM-based speech synthesis system, including speaker dependent and adaptive training, speech synthesis with pulse-noise and mixed excitation. Listening tests and their evaluation are also described.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Acta cybernetica |
| Date: | 2010 |
| Volume: | 19 |
| Number: | 4 |
| ISSN: | 0324-721X |
| Page Range: | pp. 715-731 |
| Language: | English |
| Place of Publication: | Szeged |
| Event Title: | Conference on Hungarian Computational Linguistics (7.) (2010) (Szeged) |
| Related URLs: | http://acta.bibl.u-szeged.hu/38530/ |
| Uncontrolled Keywords: | Számítástechnika, Nyelvészet - számítógép alkalmazása |
| Additional Information: | Bibliogr.: p. 729-731. ; összefoglalás angol nyelven |
| Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences 06. Humanities 06. Humanities > 06.02. Languages and Literature |
| Date Deposited: | 2016. Oct. 15. 12:24 |
| Last Modified: | 2022. Jun. 17. 11:17 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/12890 |
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