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Pitch Estimation of Devnagari Vowels using Cepstral and AutocorrelationTechniques for Original Speech Signal

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 55 - Number 17
Year of Publication: 2012
S. S. Nimbhore
G. D. Ramteke
R. J. Ramteke

S S Nimbhore, G D Ramteke and R J Ramteke. Article: Pitch Estimation of Devnagari Vowels using Cepstral and AutocorrelationTechniques for Original Speech Signal. International Journal of Computer Applications 55(17):38-43, October 2012. Full text available. BibTeX

	author = {S. S. Nimbhore and G. D. Ramteke and R. J. Ramteke},
	title = {Article: Pitch Estimation of Devnagari Vowels using Cepstral and AutocorrelationTechniques for Original Speech Signal},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {55},
	number = {17},
	pages = {38-43},
	month = {October},
	note = {Full text available}


This paper deals with pitch estimation of spoken Devnagari vowels from the original speech signals. Devnagari vowels are playing the vital role in pronunciation of any word. Each vowel is classified as starting, middle and end according to the duration of occurrences in the word. The Devnagari script having 12-vowels and 34-consonants are used in some Indian language like Marathi. The Devnagari vowels are categorised into 5-types such as short vowels, long vowels, conjunct vowels, nasal vowel and visarg vowel. The Pitch frequency is estimated from the features of speech signals via pitch detection algorithm through autocorrelation and cepstral methods. These vowels are recorded through PRAAT tools with noisy environment. The pitch estimation of original pitch frequency hasbeen calculated in statistical manner (Mean and standard deviation). The implementation, experiments and result discussions are also existence. These results which have been appropriate match with both techniques.


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