Standard

F0 contour prediction for the Kazakh language. / Kaliyev, Arman; Matveev, Yuri N.; Lyakso, Elena E.; Rybin, Sergey V.

ICEMIS '19: Proceedings of the 5th International Conference on Engineering and MIS. Association for Computing Machinery, 2019. 5 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Kaliyev, A, Matveev, YN, Lyakso, EE & Rybin, SV 2019, F0 contour prediction for the Kazakh language. in ICEMIS '19: Proceedings of the 5th International Conference on Engineering and MIS., 5, ACM International Conference Proceeding Series, Association for Computing Machinery, 5th International Conference on Engineering and MIS, ICEMIS 2019, Astana, Kazakhstan, 6/06/19. https://doi.org/10.1145/3330431.3330436

APA

Kaliyev, A., Matveev, Y. N., Lyakso, E. E., & Rybin, S. V. (2019). F0 contour prediction for the Kazakh language. In ICEMIS '19: Proceedings of the 5th International Conference on Engineering and MIS [5] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3330431.3330436

Vancouver

Kaliyev A, Matveev YN, Lyakso EE, Rybin SV. F0 contour prediction for the Kazakh language. In ICEMIS '19: Proceedings of the 5th International Conference on Engineering and MIS. Association for Computing Machinery. 2019. 5. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3330431.3330436

Author

Kaliyev, Arman ; Matveev, Yuri N. ; Lyakso, Elena E. ; Rybin, Sergey V. / F0 contour prediction for the Kazakh language. ICEMIS '19: Proceedings of the 5th International Conference on Engineering and MIS. Association for Computing Machinery, 2019. (ACM International Conference Proceeding Series).

BibTeX

@inproceedings{ad34006523e24c54a2a1d59809e52301,
title = "F0 contour prediction for the Kazakh language",
abstract = "The article presents work on predicting the fundamental frequency (F0) values for the Kazakh language. The fundamental frequency plays one of the most important roles in the perception of speech, and at the same time modelling continuous F0 is one of the most difficult tasks in the development of intonational speech synthesis systems. The main and obvious difficulty is that a person is able to say the same sentence with different intonations and with different tones. In this work, we used deep neural networks for accurate and qualitative prediction F0 values as close as possible to the natural sounding of Kazakh speech.",
keywords = "DNN, Fundamental frequency, Informants with atypical development, Intonation, Kazakh language, LSTM, Speech synthesis",
author = "Arman Kaliyev and Matveev, {Yuri N.} and Lyakso, {Elena E.} and Rybin, {Sergey V.}",
year = "2019",
month = jun,
day = "6",
doi = "10.1145/3330431.3330436",
language = "English",
isbn = "9781450372121",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "ICEMIS '19",
address = "United States",
note = "5th International Conference on Engineering and MIS, ICEMIS 2019 ; Conference date: 06-06-2019 Through 08-06-2019",

}

RIS

TY - GEN

T1 - F0 contour prediction for the Kazakh language

AU - Kaliyev, Arman

AU - Matveev, Yuri N.

AU - Lyakso, Elena E.

AU - Rybin, Sergey V.

PY - 2019/6/6

Y1 - 2019/6/6

N2 - The article presents work on predicting the fundamental frequency (F0) values for the Kazakh language. The fundamental frequency plays one of the most important roles in the perception of speech, and at the same time modelling continuous F0 is one of the most difficult tasks in the development of intonational speech synthesis systems. The main and obvious difficulty is that a person is able to say the same sentence with different intonations and with different tones. In this work, we used deep neural networks for accurate and qualitative prediction F0 values as close as possible to the natural sounding of Kazakh speech.

AB - The article presents work on predicting the fundamental frequency (F0) values for the Kazakh language. The fundamental frequency plays one of the most important roles in the perception of speech, and at the same time modelling continuous F0 is one of the most difficult tasks in the development of intonational speech synthesis systems. The main and obvious difficulty is that a person is able to say the same sentence with different intonations and with different tones. In this work, we used deep neural networks for accurate and qualitative prediction F0 values as close as possible to the natural sounding of Kazakh speech.

KW - DNN

KW - Fundamental frequency

KW - Informants with atypical development

KW - Intonation

KW - Kazakh language

KW - LSTM

KW - Speech synthesis

UR - http://www.scopus.com/inward/record.url?scp=85069165325&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/f0-contour-prediction-kazakh-language

U2 - 10.1145/3330431.3330436

DO - 10.1145/3330431.3330436

M3 - Conference contribution

AN - SCOPUS:85069165325

SN - 9781450372121

T3 - ACM International Conference Proceeding Series

BT - ICEMIS '19

PB - Association for Computing Machinery

T2 - 5th International Conference on Engineering and MIS, ICEMIS 2019

Y2 - 6 June 2019 through 8 June 2019

ER -

ID: 46097990