Incorporating syllabification points into a model of grapheme-to-phoneme conversion-Reference-Cited by-同舟云学术

Incorporating syllabification points into a model of grapheme-to-phoneme conversion

Published:2019-05-06 Issue:2 Volume:22 Page:459-470
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Suyanto Suyanto^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

http://link.springer.com/content/pdf/10.1007/s10772-019-09619-4.pdf

Reference27 articles.

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2. Abu-soud, S. M. (2016). ILATalk: A new multilingual text-to-speech synthesizer with machine learning. International Journal of Speech Technology, 19(1), 55–64. https://doi.org/10.1007/s10772-015-9322-4 .

3. Alwi, H., Dardjowidjojo, S., Lapoliwa, H., & Moeliono, A. M. (1998). Tata Bahasa Baku Bahasa Indonesia (The standard Indonesian grammar) (3rd ed.). Jakarta: Balai Pustaka.

4. Andersen, O., & Dalsgaard, P. (1995). Multi-lingual testing of a self-learning approach to phonemic transcription of orthography. In: EUROSPEECH, pp. 1117–1120.

5. Bartlett, S., Kondrak, G., & Cherry, C. (2008). Automatic syllabification with structured SVMs for letter-to-phoneme conversion. In: Proceedings of human language technologies: The 2008 annual conference of the North American chapter of the association for computational linguistics, pp. 568–576. Columbus, OH.

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