Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Automatic Phonetic Transcription for Russian: Speech Variability Modeling. / Evdokimova, Vera ; Skrelin, Pavel ; Chukaeva, Tatiana .
Speech and Computer: 19th International Conference, SPECOM 2017, Hatfield, UK, September 12-16, 2017, Proceedings. Springer Nature, 2017. p. 192-199 (Lecture Notes in Computer Science; Vol. 10458).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
}
TY - GEN
T1 - Automatic Phonetic Transcription for Russian: Speech Variability Modeling
AU - Evdokimova, Vera
AU - Skrelin, Pavel
AU - Chukaeva, Tatiana
N1 - Evdokimova V., Skrelin P., Chukaeva T. (2017) Automatic Phonetic Transcription for Russian: Speech Variability Modeling. In: Karpov A., Potapova R., Mporas I. (eds) Speech and Computer. SPECOM 2017. Lecture Notes in Computer Science, vol 10458. Springer, Cham. https://doi.org/10.1007/978-3-319-66429-3_18
PY - 2017/8
Y1 - 2017/8
N2 - At the moment more advanced approaches to phonetic transcription are required for different speech technology tasks such as TTS or ASR. All subtle differences in phonetic characteristics of sound sequences inside the words and in the word boundaries need more accurate and variable transcription rules. Moreover, there is a need to take into account not only the normal rules of phonetic transcription. it is important to include the information about speech variability in regional and social dialects, popular speech and colloquial variants of the high frequency lexis. In this paper a reliable method for automatic phonetic transcription of Russian text is presented. The system is used for making not only an ideal transcription for the Russian text but also takes into account the complex processes of sound change and variation within the Russian standard pronunciation. Our transcribing system is reliable and could be used not only for the TTS systems but also in ASR tasks that require more flexible approach to phonetic transcription of the text.
AB - At the moment more advanced approaches to phonetic transcription are required for different speech technology tasks such as TTS or ASR. All subtle differences in phonetic characteristics of sound sequences inside the words and in the word boundaries need more accurate and variable transcription rules. Moreover, there is a need to take into account not only the normal rules of phonetic transcription. it is important to include the information about speech variability in regional and social dialects, popular speech and colloquial variants of the high frequency lexis. In this paper a reliable method for automatic phonetic transcription of Russian text is presented. The system is used for making not only an ideal transcription for the Russian text but also takes into account the complex processes of sound change and variation within the Russian standard pronunciation. Our transcribing system is reliable and could be used not only for the TTS systems but also in ASR tasks that require more flexible approach to phonetic transcription of the text.
KW - Automatic phonetic transcription
KW - Russian
KW - Phonetics
KW - Speech processing
KW - Speech transcription
KW - Speech variability modeling
UR - https://link.springer.com/chapter/10.1007/978-3-319-66429-3_18
M3 - Conference contribution
SN - 978-3-319-66428-6
T3 - Lecture Notes in Computer Science
SP - 192
EP - 199
BT - Speech and Computer
PB - Springer Nature
T2 - 19th International Conference on Speech and Computer
Y2 - 11 September 2017 through 15 September 2017
ER -
ID: 13721395