A Comprehensive Analysis on Vowels Present in Bodo Language
Uzzal Sharma1
Section:Research Paper, Product Type: Conference Paper
Volume-03 ,
Issue-01 , Page no. 141-144, Feb-2015
Online published on Feb 18, 2015
Copyright © Uzzal Sharma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Citation
IEEE Style Citation: Uzzal Sharma, “A Comprehensive Analysis on Vowels Present in Bodo Language,” International Journal of Computer Sciences and Engineering, Vol.03, Issue.01, pp.141-144, 2015.
MLA Citation
MLA Style Citation: Uzzal Sharma "A Comprehensive Analysis on Vowels Present in Bodo Language." International Journal of Computer Sciences and Engineering 03.01 (2015): 141-144.
APA Citation
APA Style Citation: Uzzal Sharma, (2015). A Comprehensive Analysis on Vowels Present in Bodo Language. International Journal of Computer Sciences and Engineering, 03(01), 141-144.
BibTex Citation
BibTex Style Citation:
@article{Sharma_2015,
author = {Uzzal Sharma},
title = {A Comprehensive Analysis on Vowels Present in Bodo Language},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2015},
volume = {03},
Issue = {01},
month = {2},
year = {2015},
issn = {2347-2693},
pages = {141-144},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=20},
publisher = {IJCSE, Indore, INDIA},
}
RIS Citation
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=20
TI - A Comprehensive Analysis on Vowels Present in Bodo Language
T2 - International Journal of Computer Sciences and Engineering
AU - Uzzal Sharma
PY - 2015
DA - 2015/02/18
PB - IJCSE, Indore, INDIA
SP - 141-144
IS - 01
VL - 03
SN - 2347-2693
ER -




Abstract
Research on Speech signal processing has gained a high degree of importance due to the broad areas of application. The success of any speech recognition system and speaker identification system depends on the level of accuracy and correctness. To accomplish a high level of accuracy, it is very important to use the proper tool for the purpose. The present paper tries to use two popular tools namely MFCC and Formant Frequency Measure used for the purpose of feature extraction and to give a comparison between the two. The Bodo language is considered for the present research.
Key-Words / Index Term
Formant frequency measure; MFCC, OSV, ASR, DCT
References
[1] G. N. Kodandaramaiah, M. N. Giriprasad, and M. M. Rao, “Independent speaker recognition for native english vowels,” International Journal of Electronic Engineering Research, vol. 2, 2010.
[2] S. B. Davis and P. Mermelstein, “Comparison of Parametric Representations of Monosyllabic Word recognition In Continuously Spoken Sentences,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 28, pp. 357- 366, 1980.
[3] M. Ursin, “Triphone Clustering In Finnish Continuous Speech recognition,” Master Thesis, Department of Computer Science, Helsinki University of Technology, Finland, 2002.
[4] Cole, R.A. Yonghong Yan ; Mak, B. ; Fanty, M. 'Acoustics, Speech, and Signal Processing', 1996 IEEE International Conference Volume:2 pp. 853 - 856.
[5] Biljana Prica and Sinisa Ilic; FACTA UNIVERSITATIS (NIˇS) SER.: ELEC. ENERG. vol. 23, no. 3, December 2010, 379-393.
[6] Welling L. and Ney H. (1998), ‘Formant Estimation of Speech Recognition’, IEEE trans. Speech and Audio processing Sept 1985, pp-134.
[7] Sharma Uzzal, “Formant Frequency Measure and Analysis of Bodo Vowels – A Core Language of NE India', International Conference on INFORMATION & MATHEMATICAL SCIENCES (IMS-13), 24-26 October, 2013, ISBN : 978-93-5107-162-4, pp. 32-34. (Published by Elsevier)
[8] E. Darren. Ellis "Design of a Speaker Recognition Code using MATLAB "Department of Computer and Electrical Engineering- University of Tennessee, Knoxville Tennessee 37996. 9th May 2001.
[9] Rabinar L.R., Juang B.H. (1986), ‘Fundamental of Speech Recognition’, Dorling Kinderseley (India).
[10] V. Anantha Natarajan; S. Jothilakshmi International Journal of Computer Applications (0975 – 8887), Volume 56, No.15, October 2012, pp.345-351.