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Survey paper on Different Speech Recognition Algorithm: Challenges and Techniques

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Ayushi Y. Vadwala, Krina A. Suthar, Yesha A. Karmakar, Nirali Pandya
10.5120/ijca2017915472

Ayushi Y Vadwala, Krina A Suthar, Yesha A Karmakar and Nirali Pandya. Survey paper on Different Speech Recognition Algorithm: Challenges and Techniques. International Journal of Computer Applications 175(1):31-36, October 2017. BibTeX

@article{10.5120/ijca2017915472,
	author = {Ayushi Y. Vadwala and Krina A. Suthar and Yesha A. Karmakar and Nirali Pandya},
	title = {Survey paper on Different Speech Recognition Algorithm: Challenges and Techniques},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2017},
	volume = {175},
	number = {1},
	month = {Oct},
	year = {2017},
	issn = {0975-8887},
	pages = {31-36},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume175/number1/28455-2017915472},
	doi = {10.5120/ijca2017915472},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The Speech is most major & prime mode of Communication among human beings. The communication among human and computer is referred as human computer interface. Speech can be used to commune with computer. The speech recognition research is becoming more and more determined. Today, researchers are trying to making an effort to extend the capabilities of what computers can do with the spoken words. This paper consists of the classification of algorithms through which an uttered word can be converted to computer intelligible form. The challenges in speech recognition will be enumerated and analyzed for the most popular recognition techniques used today. The analysis ends with a brief description of some of the applications of speech recognition.

References

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Keywords

Speech Recognition, Hidden Markov Model, Artificial Intelligence, Pattern Recognition, Neural Network.