Implementation of Speech Recognition in Web Application for Sub Continental Language
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2014 by IJETT Journal | ||
| Volume-9 Number-11 |
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| Year of Publication : 2014 | ||
| Authors : Dilip Kumar , Abhishek Sachan , Malay Kumar |
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 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.
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Keywords
HMM, HTK, MFCC, Automatic Speech Recognition.