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CORPRES : Corpus of Russian professionally read speech. / Skrelin, Pavel; Volskaya, Nina; Kocharov, Daniil; Evgrafova, Karina; Glotova, Olga; Evdokimova, Vera.

Text, Speech and Dialogue - 13th International Conference, TSD 2010, Proceedings. Berlin Heidelberg : Springer Nature, 2010. p. 392-399 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6231 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Skrelin, P, Volskaya, N, Kocharov, D, Evgrafova, K, Glotova, O & Evdokimova, V 2010, CORPRES: Corpus of Russian professionally read speech. in Text, Speech and Dialogue - 13th International Conference, TSD 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6231 LNAI, Springer Nature, Berlin Heidelberg, pp. 392-399, 13th International Conference on Text, Speech and Dialogue, TSD 2010, Brno, Czech Republic, 6/09/10. https://doi.org/10.1007/978-3-642-15760-8_50

APA

Skrelin, P., Volskaya, N., Kocharov, D., Evgrafova, K., Glotova, O., & Evdokimova, V. (2010). CORPRES: Corpus of Russian professionally read speech. In Text, Speech and Dialogue - 13th International Conference, TSD 2010, Proceedings (pp. 392-399). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6231 LNAI). Springer Nature. https://doi.org/10.1007/978-3-642-15760-8_50

Vancouver

Skrelin P, Volskaya N, Kocharov D, Evgrafova K, Glotova O, Evdokimova V. CORPRES: Corpus of Russian professionally read speech. In Text, Speech and Dialogue - 13th International Conference, TSD 2010, Proceedings. Berlin Heidelberg: Springer Nature. 2010. p. 392-399. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-15760-8_50

Author

Skrelin, Pavel ; Volskaya, Nina ; Kocharov, Daniil ; Evgrafova, Karina ; Glotova, Olga ; Evdokimova, Vera. / CORPRES : Corpus of Russian professionally read speech. Text, Speech and Dialogue - 13th International Conference, TSD 2010, Proceedings. Berlin Heidelberg : Springer Nature, 2010. pp. 392-399 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{de808fcd6eea490eae1e516552faabfa,
title = "CORPRES: Corpus of Russian professionally read speech",
abstract = "The paper introduces CORPRES - COrpus of Russian Professionally REad Speech developed at the Department of Phonetics, Saint Petersburg State University, as a result of a three-year project. The corpus includes samples of different speaking styles produced by 4 male and 4 female speakers. Six levels of annotation cover all phonetic and prosodic information about the recorded speech data, including labels for pitch marks, phonetic events, phonetic, orthographic and prosodic transcription. Precise phonetic transcription of the data provides an especially valuable resource for both research and development purposes. Overall corpus size is 60 hours of speech. The paper contains information about CORPRES design and annotation principles, and overall data description. Also, we discuss possible use of the corpus in phonetic research and speech technology as well as some findings on the Russian sound system obtained from the corpus data.",
keywords = "annotation, manual transcription, phonetic transcription, Phonetics, prosodic feature labelling, speech corpus, text-to-speech",
author = "Pavel Skrelin and Nina Volskaya and Daniil Kocharov and Karina Evgrafova and Olga Glotova and Vera Evdokimova",
year = "2010",
doi = "10.1007/978-3-642-15760-8_50",
language = "English",
isbn = "3642157599",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "392--399",
booktitle = "Text, Speech and Dialogue - 13th International Conference, TSD 2010, Proceedings",
address = "Germany",
note = "13th International Conference on Text, Speech and Dialogue, TSD 2010 : 13th International Conference, TSD 2010 ; Conference date: 06-09-2010 Through 10-09-2010",
url = "https://www.tsdconference.org/",

}

RIS

TY - GEN

T1 - CORPRES

T2 - 13th International Conference on Text, Speech and Dialogue, TSD 2010

AU - Skrelin, Pavel

AU - Volskaya, Nina

AU - Kocharov, Daniil

AU - Evgrafova, Karina

AU - Glotova, Olga

AU - Evdokimova, Vera

N1 - Conference code: 13

PY - 2010

Y1 - 2010

N2 - The paper introduces CORPRES - COrpus of Russian Professionally REad Speech developed at the Department of Phonetics, Saint Petersburg State University, as a result of a three-year project. The corpus includes samples of different speaking styles produced by 4 male and 4 female speakers. Six levels of annotation cover all phonetic and prosodic information about the recorded speech data, including labels for pitch marks, phonetic events, phonetic, orthographic and prosodic transcription. Precise phonetic transcription of the data provides an especially valuable resource for both research and development purposes. Overall corpus size is 60 hours of speech. The paper contains information about CORPRES design and annotation principles, and overall data description. Also, we discuss possible use of the corpus in phonetic research and speech technology as well as some findings on the Russian sound system obtained from the corpus data.

AB - The paper introduces CORPRES - COrpus of Russian Professionally REad Speech developed at the Department of Phonetics, Saint Petersburg State University, as a result of a three-year project. The corpus includes samples of different speaking styles produced by 4 male and 4 female speakers. Six levels of annotation cover all phonetic and prosodic information about the recorded speech data, including labels for pitch marks, phonetic events, phonetic, orthographic and prosodic transcription. Precise phonetic transcription of the data provides an especially valuable resource for both research and development purposes. Overall corpus size is 60 hours of speech. The paper contains information about CORPRES design and annotation principles, and overall data description. Also, we discuss possible use of the corpus in phonetic research and speech technology as well as some findings on the Russian sound system obtained from the corpus data.

KW - annotation

KW - manual transcription

KW - phonetic transcription

KW - Phonetics

KW - prosodic feature labelling

KW - speech corpus

KW - text-to-speech

UR - http://www.scopus.com/inward/record.url?scp=78049250875&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-15760-8_50

DO - 10.1007/978-3-642-15760-8_50

M3 - Conference contribution

SN - 3642157599

SN - 9783642157592

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

SP - 392

EP - 399

BT - Text, Speech and Dialogue - 13th International Conference, TSD 2010, Proceedings

PB - Springer Nature

CY - Berlin Heidelberg

Y2 - 6 September 2010 through 10 September 2010

ER -

ID: 4428711