Implementation of Speech Recognition in Web Application for Sub Continental Language

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-9 Number-11                          
Year of Publication : 2014
Authors : Dilip Kumar , Abhishek Sachan , Malay Kumar
  10.14445/22315381/IJETT-V9P309

Citation 

Dilip Kumar , Abhishek Sachan , Malay Kumar. "Implementation of Speech Recognition in Web Application for Sub Continental Language", International Journal of Engineering Trends and Technology (IJETT), V9(11),572-575 March 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Speech recognition is the aptitude of a mechanism in the web application to identify voice instructions agree with the pattern stored in the glossary. Mainly two concepts are summarized in this paper: Hindi voice conversion into text and searching that text in web application like Google. Currently, Hidden Markov Model (HMMs) is used for Hindi voice recognition and its Toolkit is accustomed to identify Hindi language. It recognizes the isolated words using acoustic word model. The system is trained for many Hindi words. Training data has been collected from nine speakers. The experimental results show that the overall accuracy of the presented system with few states in HMM. This paper aims to build a speech recognition system for Hindi language and search Hindi text in web search engine. In addition the text can be search from the database server using application server. Such a design makes it truly practical to use text conversion and its searching over the internet.

References

[1] Preeti Saini, Parmeet Kaur, Mohit Dua “Hindi Automatic Speech Recognition Using HTK,” International Journal Of Engineering Trends And Technology, vol 4, issue-June 2013.
[2] T. Masuko, K. Tokuda, T. Kobayashi, “Speech synthesis using HMMs with dynamic features”IEEE vol. 1, May 1996, Page(s):389 – 392.
[3] Mayur Babaji Shinde, Dr. S. T. Gandhe “Speech processing for isolated Marathi word recognition using MFCC and DTW features ,” International Journal of Innovations in Engineering and Technology, Vol. 3 Issue 1 October 2013
[4] SaiSujith Reddy Mankala, Sainath Reddy Bojja, V. Subba Ramaiah3 & R. Rajeswara Rao4 “Automatic Speech Processing Using HTK for Telugu Language,” International Journal of Advances in Engineering & Technology, Vol. 6, Issue 6, pp. 2572-2578, Jan. 2014.
[5] R.K. Aggarwal and M. Dave, “Performance Evalution of Sequentially Combined Heterogenous Feature Streams for Hindi Speech Recognition System,” Telecommunication System, Volume52, Issue 3 pp1457-1466, 01 sept 2011
[6] S. Mandal, B. Das, P. Mitra,” Shruti-II: A vernacular speech recognition system in Bengali and an application for visually impaired community” Students` Technology Symposium (TechSym), 2010 IEEE Date of Conference:3-4 Page(s):229 – 233,April 2010
[7] Mohit Dua, R.K. Aggarwal, Virender Kadyan and Shelza Dua, “Punjabi Automatic Speech Recognition Using HTK,” IJCSI International Journal of Computer Science Issues, vol. 9, issue4, no.1, july 2012.
[8] Xuedong Huang Lee, K.-F. “On speaker-independent, speaker-dependent, and speaker-adaptive speech recognition” IEEE Volume:1 , Issue: 2, Page(s):150 – 157, Apr 1993.
[9] D.M.Kuansan Wang Goblirsch, “Extracting dynamic features using the stochastic matching pursuit algorithm for speech event detection”IEEE Workshop on Date of Conference:14-17 Page(s):132 – 139, Dec 1997.
[10] Sharmila, Dr. Neeta Awasthy, Dr .R.K.Singh “Performance of Hindi Speech Isolated Digits In HTK Environment” IOSR Journal of Engineering May. 2012, Vol. 2(5) pp: 1020-1023.
[11] R. K. Aggarwal, Kuldeep Kumar “hindi speech recognition system using htk,” International Journal of Computing and Business Research Volume 2 Issue 2 May 2011
[12] M. Kumar “A large-vocabulary continuous speech recognition system for Hindi” IBM Journal of Research and Development 2004 Volume:48 , Issue: 5.6
[13] How to Use Google Search for Hindi Websites http://www.findurlaptop.com/tech/2013/07/08/google-search-for-hindi-websites
[14] Ms. Vrinda, Mr. Chander Shekhar “speech recognition system for english language,” International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 1, January 2013.

Keywords
HMM, HTK, MFCC, Automatic Speech Recognition.