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Processing and Recognition of Voice

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 85 - Number 5
Year of Publication: 2014
Sourav De
Arup Kumar Das
Brotin Biswas
Arindam Biswas

Sourav De, Arup Kumar Das, Brotin Biswas and Arindam Biswas. Article: Processing and Recognition of Voice. International Journal of Computer Applications 85(5):7-14, January 2014. Full text available. BibTeX

	author = {Sourav De and Arup Kumar Das and Brotin Biswas and Arindam Biswas},
	title = {Article: Processing and Recognition of Voice},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {85},
	number = {5},
	pages = {7-14},
	month = {January},
	note = {Full text available}


With rise of new technologies involving signal processing, the range of operations with signals and processing of those signals has become quite easy. Voice is considered to a unique feature of a person. So extraction of voice features and detecting and processing them in correct manner is always a matter of great concern. There's been a lot of technique to detect the voice properly, but every method has some drawbacks due to some inherent property of voice. Voice can be considered to be a random signal with some probabilities. So recognition of voice with good efficiency is not always an easy job to do. Here the feature extraction of voice by MFCC model and checking those features by three different algorithms with efficiency comparison is discussed by us.


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