Chhattisgarhi speech corpus for research and development in automatic speech recognition-Reference-Cited by-同舟云学术

Chhattisgarhi speech corpus for research and development in automatic speech recognition

Published:2018-02-16 Issue:2 Volume:21 Page:193-210
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Londhe Narendra D.,Kshirsagar Ghanahshyam B.

Funder

Chhattisgarh Council of Science and Technology

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/article/10.1007/s10772-018-9496-7/fulltext.html

Reference42 articles.

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2. Colin, P. M. (1991). The Indo-Aryan Languages. Melbourne: Cambridge University Press.

3. Danubianu, M., Popa, V., & Tobolcea, I. (2012). Unsupervised information-based feature selection for speech therapy optimization by data mining techniques. In Proceedings of the Seventh International Multi-Conference on Computing in the Global Information Technology ICCGI, pp. 29–39.

4. Doddington, G. R., Przybocki, M. A., Martin, A. F., & Reynolds, D. A. (2000). The NIST speaker recognition evaluation overview: Methodology systems, results, perspective. Speech Communications, 31, 225–254.

5. Gaurav, G., Deiv, D. S., Sharma, G. K., & Bhattacharya, M. (2012). Development of application specific continuous speech recognition system in Hindi. Journal of Signal and Information Processing, 3(3), 394–401. https://doi.org/10.4236/jsip.2012.33052 .

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