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Word level detection of Galo and Adi language using acoustical cues
M. Sora1 , J. Talukdhar2 , S. Majumder3 , P.H Talukdhar4 , U.Sharmah 5
Section:Research Paper, Product Type: Isroset-Journal
Vol.1 ,
Issue.1 , pp.10-13, Jan-2013
Online published on Dec 12, 2013
Copyright © M. Sora, J. Talukdhar, S. Majumder, P.H Talukdhar, U.Sharmah . 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 Style Citation: M. Sora, J. Talukdhar, S. Majumder, P.H Talukdhar, U.Sharmah, “Word level detection of Galo and Adi language using acoustical cues,” International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.1, pp.10-13, 2013.
MLA Style Citation: M. Sora, J. Talukdhar, S. Majumder, P.H Talukdhar, U.Sharmah "Word level detection of Galo and Adi language using acoustical cues." International Journal of Scientific Research in Computer Science and Engineering 1.1 (2013): 10-13.
APA Style Citation: M. Sora, J. Talukdhar, S. Majumder, P.H Talukdhar, U.Sharmah, (2013). Word level detection of Galo and Adi language using acoustical cues. International Journal of Scientific Research in Computer Science and Engineering, 1(1), 10-13.
BibTex Style Citation:
@article{Sora_2013,
author = {M. Sora, J. Talukdhar, S. Majumder, P.H Talukdhar, U.Sharmah},
title = {Word level detection of Galo and Adi language using acoustical cues},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {1 2013},
volume = {1},
Issue = {1},
month = {1},
year = {2013},
issn = {2347-2693},
pages = {10-13},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=15},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=15
TI - Word level detection of Galo and Adi language using acoustical cues
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - M. Sora, J. Talukdhar, S. Majumder, P.H Talukdhar, U.Sharmah
PY - 2013
DA - 2012/12/12
PB - IJCSE, Indore, INDIA
SP - 10-13
IS - 1
VL - 1
SN - 2347-2693
ER -
Abstract :
Word level Speech recognition is the process of automatic extracting and determining linguistic information Conveyed by a speech wave using computers.A successful speech detection system can helpful in many applications. Study of acoustical cues of Galo and Adi language is main theme. The Galo and Adi tribe belongs to the Sino-Tibetan family of languages. The state of Arunachal Pradesh has evolved a conspicuous dialect that distinguishes them from the rest of the tribes. A further classification can be based on the "dialect" of the language. The variations of Galo and Adi spoken in these tribe differ from each other in intonation, sentence formation and word usage.
Key-Words / Index Term :
EMD, Abotani, Galo, Adii
References :
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[3]. N.E. Huang, Z. Shen, S.R. Long, M.L. Wu,H.H. Shih, Q. Zheng, N.C. Yen, C.C. Tung and H.H. Liu, “The empirical mode Decomposition and Hilbert spectrum for nonlinear and non stationary time series analysis,” Proc. Roy. Soc.London A,Vol. 454, pp. 903–995, 1998.
[4]. Y. Zhang, Y. Gao, L. Wang, J. Chen, and X. Shi, “The removal of wall components in Doppler ultrasound signals by using the empirical mode decomposition algorithm,” IEEE Trans. Biomed. Eng., vol. 9, pp.1631–1642, Sep. 2007.
[5]. Md. Khademul Islam Molla, Keikichi Hirose, Nobuaki Minematsu, and Md. Kamrul Hasan voiced/unvoiced detection of speech signals using empirical mode decomposition model” International Conference on Information and Communication Technology ICICT 2007, 7-9 March 2007.
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