Optimum MVF Estimation‐Based Two‐Band Excitation for HMM‐Based Speech Synthesis
The optimum maximum voiced frequency (MVF) estimation‐based two‐band excitation for hidden Markov model‐based speech synthesis is presented. An analysis‐by‐synthesis scheme is adopted for the MVF estimation which leads to the minimum spectral distortion of synthesized speech. Experimental results sh...
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Published in | ETRI journal Vol. 31; no. 4; pp. 457 - 459 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
한국전자통신연구원
01.08.2009
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Subjects | |
Online Access | Get full text |
ISSN | 1225-6463 2233-7326 |
DOI | 10.4218/etrij.09.0209.0112 |
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Summary: | The optimum maximum voiced frequency (MVF) estimation‐based two‐band excitation for hidden Markov model‐based speech synthesis is presented. An analysis‐by‐synthesis scheme is adopted for the MVF estimation which leads to the minimum spectral distortion of synthesized speech. Experimental results show that the proposed method significantly improves synthetic speech quality. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 G704-001110.2009.31.4.008 |
ISSN: | 1225-6463 2233-7326 |
DOI: | 10.4218/etrij.09.0209.0112 |