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The sound database formation for the allophone-based model for english concatenative speech synthesis. / Evgrafova, Karina.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 219-225 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3658 LNAI).

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Harvard

Evgrafova, K 2005, The sound database formation for the allophone-based model for english concatenative speech synthesis. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3658 LNAI, pp. 219-225, 8th International Conference on Text, Speech and Dialogue, TSD 2005, Karlovy Vary, Czech Republic, 12/09/05.

APA

Evgrafova, K. (2005). The sound database formation for the allophone-based model for english concatenative speech synthesis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 219-225). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3658 LNAI).

Vancouver

Evgrafova K. The sound database formation for the allophone-based model for english concatenative speech synthesis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 219-225. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Author

Evgrafova, Karina. / The sound database formation for the allophone-based model for english concatenative speech synthesis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. pp. 219-225 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{b61359ac2d98400f99814690fd7ac405,
title = "The sound database formation for the allophone-based model for english concatenative speech synthesis",
abstract = "The goal of this paper is to describe the development of the sound database for the allophone-based model for English concatenative speech synthesis. The procedure of the sound unit inventory construction is described and its main results are presented. At present moment the optimized sound units inventory of the allophonic database for English concatenative speech synthesis contains 1200 elements (1000 vowel allophones and 200 consonant allophones). The smoothness of junctions between the allophones shows high quality of the segmentation made. The decrease in the number of the database components in the result of optimization does not affect the quality of the resulting synthesized speech. At the level of segments it can be evaluated as fairly high in terms of both naturalness and intelligibility.",
author = "Karina Evgrafova",
year = "2005",
month = dec,
day = "1",
language = "English",
isbn = "3540287892",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "219--225",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "8th International Conference on Text, Speech and Dialogue, TSD 2005 ; Conference date: 12-09-2005 Through 15-09-2005",

}

RIS

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T1 - The sound database formation for the allophone-based model for english concatenative speech synthesis

AU - Evgrafova, Karina

PY - 2005/12/1

Y1 - 2005/12/1

N2 - The goal of this paper is to describe the development of the sound database for the allophone-based model for English concatenative speech synthesis. The procedure of the sound unit inventory construction is described and its main results are presented. At present moment the optimized sound units inventory of the allophonic database for English concatenative speech synthesis contains 1200 elements (1000 vowel allophones and 200 consonant allophones). The smoothness of junctions between the allophones shows high quality of the segmentation made. The decrease in the number of the database components in the result of optimization does not affect the quality of the resulting synthesized speech. At the level of segments it can be evaluated as fairly high in terms of both naturalness and intelligibility.

AB - The goal of this paper is to describe the development of the sound database for the allophone-based model for English concatenative speech synthesis. The procedure of the sound unit inventory construction is described and its main results are presented. At present moment the optimized sound units inventory of the allophonic database for English concatenative speech synthesis contains 1200 elements (1000 vowel allophones and 200 consonant allophones). The smoothness of junctions between the allophones shows high quality of the segmentation made. The decrease in the number of the database components in the result of optimization does not affect the quality of the resulting synthesized speech. At the level of segments it can be evaluated as fairly high in terms of both naturalness and intelligibility.

UR - http://www.scopus.com/inward/record.url?scp=33646061350&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33646061350

SN - 3540287892

SN - 9783540287896

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 219

EP - 225

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 8th International Conference on Text, Speech and Dialogue, TSD 2005

Y2 - 12 September 2005 through 15 September 2005

ER -

ID: 41279942