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Automatic Alignment of Phonetic Transcriptions for Russian. / Kocharov, Daniil.

в: Lecture Notes in Computer Science, № 8773, 2014, стр. 123-128.

Результаты исследований: Научные публикации в периодических изданиях › статья

Harvard

Kocharov, D 2014, 'Automatic Alignment of Phonetic Transcriptions for Russian', Lecture Notes in Computer Science, № 8773, стр. 123-128. https://doi.org/10.1007/978-3-319-11581-8_15

APA

Kocharov, D. (2014). Automatic Alignment of Phonetic Transcriptions for Russian. Lecture Notes in Computer Science, (8773), 123-128. https://doi.org/10.1007/978-3-319-11581-8_15

Vancouver

Kocharov D. Automatic Alignment of Phonetic Transcriptions for Russian. Lecture Notes in Computer Science. 2014;(8773):123-128. https://doi.org/10.1007/978-3-319-11581-8_15

Author

Kocharov, Daniil. / Automatic Alignment of Phonetic Transcriptions for Russian. в: Lecture Notes in Computer Science. 2014 ; № 8773. стр. 123-128.

BibTeX

@article{62ac319c4a3f4b19bf43f33c450d0097,
title = "Automatic Alignment of Phonetic Transcriptions for Russian",
abstract = "This paper presents automatic alignment of Russian phonetic pronunciations using the information about phonetic nature of speech sounds in the aligned transcription sequences. This approach has been tested on 24 hours of speech data and has shown significant improvement in alignment errors has been obtained in comparison with commonly used Levenstein algorithm: the numbers of error has been reduced from 1.1 % to 0.27 %.",
keywords = "automatic alignment, phonetic transcription, Russian",
author = "Daniil Kocharov",
year = "2014",
doi = "10.1007/978-3-319-11581-8_15",
language = "English",
pages = "123--128",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Nature",
number = "8773",

}

RIS

TY - JOUR

T1 - Automatic Alignment of Phonetic Transcriptions for Russian

AU - Kocharov, Daniil

PY - 2014

Y1 - 2014

N2 - This paper presents automatic alignment of Russian phonetic pronunciations using the information about phonetic nature of speech sounds in the aligned transcription sequences. This approach has been tested on 24 hours of speech data and has shown significant improvement in alignment errors has been obtained in comparison with commonly used Levenstein algorithm: the numbers of error has been reduced from 1.1 % to 0.27 %.

AB - This paper presents automatic alignment of Russian phonetic pronunciations using the information about phonetic nature of speech sounds in the aligned transcription sequences. This approach has been tested on 24 hours of speech data and has shown significant improvement in alignment errors has been obtained in comparison with commonly used Levenstein algorithm: the numbers of error has been reduced from 1.1 % to 0.27 %.

KW - automatic alignment

KW - phonetic transcription

KW - Russian

U2 - 10.1007/978-3-319-11581-8_15

DO - 10.1007/978-3-319-11581-8_15

M3 - Article

SP - 123

EP - 128

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

IS - 8773

ER -

ID: 5743747