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Reseach Article

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

by S. S. Nimbhore, G. D. Ramteke, R. J. Ramteke
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 17
Year of Publication: 2012
Authors: S. S. Nimbhore, G. D. Ramteke, R. J. Ramteke
10.5120/8849-3118

S. S. Nimbhore, G. D. Ramteke, R. J. Ramteke . Pitch Estimation of Devnagari Vowels using Cepstral and AutocorrelationTechniques for Original Speech Signal. International Journal of Computer Applications. 55, 17 ( October 2012), 38-43. DOI=10.5120/8849-3118

@article{ 10.5120/8849-3118,
author = { S. S. Nimbhore, G. D. Ramteke, R. J. Ramteke },
title = { Pitch Estimation of Devnagari Vowels using Cepstral and AutocorrelationTechniques for Original Speech Signal },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 17 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number17/8849-3118/ },
doi = { 10.5120/8849-3118 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:32.122329+05:30
%A S. S. Nimbhore
%A G. D. Ramteke
%A R. J. Ramteke
%T Pitch Estimation of Devnagari Vowels using Cepstral and AutocorrelationTechniques for Original Speech Signal
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 17
%P 38-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  1. X. Huang and A. Acero, H. Hon, "Spoken Language Processing: A Guide to Theory, Algorithm, and System Development", published by Prentice Hall, 2001.
  2. Alina Nica, Alexandra Caruntuet et. al. , "Analysis and Synthesis of vowels Using Mat lab", IEEE proceeding, Vol. 2 PP. 371-374, May-2006.
  3. M. Habibullah Pagarkar, Lakshmi Gopalakrishnan, et. al. "Language Independent Speech Compression using Devnagari Phonetics", 2002.
  4. R. K. Bansal, and J. B. Harrison, "Spoken English for India, A Manual of Speech and Phonetics", published by Orient Longman, 1972.
  5. Rashmi Makhijani, Urmila Shrawankar, Dr. V. M. Thakare, "Speech Enhancement using Pitch Detection Approach for Noisy Environment", International Journal of Engineering Science and Technology (IJEST) Vol. 3 No. 2 PP. 1764-1769, Feb-2011.
  6. Hiroshi Shimodaira and Mitsuru Nakai, "Robust Pitch Detection By Narrow Band Spectrum Analysis", Second International Conference on Spoken Language Processing (ICSLP'92) PP. 1597-1600 Banff, Alberta, Canada: Oct-1992.
  7. A. D. Cheveigne and H. Kawahara, "A fundamental frequency estimator for speech and music" Journal of the Acoustical Society of America, PP. 1917-1930,April-2002.
  8. Mehdi S. Javadi, "Pitch Period of Speech Signals Introduction", Determinations and Changing".
  9. Li Tan and Montri Karnjanadecha,"Pitch Detection Algorithm: Autocorrelation Method and AMDF", Intelligent Signal Processing and Communication Systems (ISPACS), PP. 453 – 456 King Mongkut's Univ. of Technol. Thonburi, Bangkok, Thailand: Jan-2009.
  10. Jong-soon Jung, Jeong-jin Kim and Myung-jin Bae, "Pitch Alternation technique in speech synthesis system", IEEE Transaction on Acoustics, Speech and Signal Processing, PP. 163-167 Vol. 47 No. 1, Feb 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Short vowels Long vowels Conjunct vowels Nasal and Visarg vowel. Feature extraction Pitch Analysis HCI IPA Speech Synthesis