Improved Speech Recognition Processes using Hybrid Genetic Vector Quantizer

Authors

  • Sakshi Choudhary ECE Department. Doon Valley Institute of Engineering and Technology, Karnal, India Author
  • Sarabjeet Kaur ECE Department. Doon Valley Institute of Engineering and Technology, Karnal, India Author

DOI:

https://doi.org/10.14741/

Keywords:

Speech Recognition, ASR, Feature Extraction, Speech Models

Abstract

Speech recognition basically means talking to a computer, having it recognize what Speakers are saying. Speech is common and efficient form of communication method for people to interact with each other. The person would like to interact with computer via speech. It can be accomplished by speech recognition system in which computer identifies the word spoken by a speaker into a microphone. Speech recognition is becoming more complex and a challenging task. The research is focusing on large vocabulary, continuous speech capabilities and speaker independence. This paper reviews methods and technologies available for ASR process

References

Downloads

Published

2015-08-31

Issue

Section

Articles

How to Cite

Improved Speech Recognition Processes using Hybrid Genetic Vector Quantizer. (2015). International Journal of Current Engineering and Technology, 5(4), 2521-2525. https://doi.org/10.14741/