Enhancements in automatic Kannada speech recognition system by background noise elimination and alternate acoustic modelling-Reference-Cited by-同舟云学术

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Enhancements in automatic Kannada speech recognition system by background noise elimination and alternate acoustic modelling

Published:2020-01-22 Issue:1 Volume:23 Page:149-167
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Thimmaraja Yadava G.,Jayanna H. S.

Funder

Department of Electronics and Information Technology, Ministry of Communications and Information 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/content/pdf/10.1007/s10772-020-09671-5.pdf

Reference47 articles.

1. Abhishek, D., Shahnawazuddin, S., Deepak, K. T., Siddika, I., Prasanna, S. R. M., & Sinha, R. (2017). Improvements in IITG Assamese spoken query system: Background noise suppression and alternate acoustic modeling. Journal of Signal Processing Systems, 88(01), 91–102.

2. Abushariah, M. A. M., Ainon, R. N., Zainuddin, R., Elshafei, M., & Khalifa, O. O. (2010). Natural speaker-independent Arabic speech recognition system based on Hidden Markov Models using Sphinx tools. In Computer and Communication Engineering (ICCCE), 2010 International Conference on, Kuala Lumpur, pp. 1–6.

3. Agricultural Marketing Information Network—AGMARKNET. (2011). http://agmarknet.nic.in.

4. Ali, A., Zhang, Y., Cardinal, P., Dahak, N., Vogel, S., Glass, J. (Dec 2014). A complete KALDI recipe for building arabic speech recognition systems. Spoken Language Technology Workshop (SLT), IEEE, South Lake Tahoe, NV, pp. 525–529.

5. Al-Qatab, B. A. Q., & Ainon, R. N. (2010). Arabic speech recognition using Hidden Markov Model Toolkit(HTK). In 2010 International Symposium on Information Technology, Kuala Lumpur, pp. 557–556.

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