Full Paper View
Application of Speech Recognition: For Programming Languages
Bhojaraj Barhate1 , Dipashri Sisodiya2 , Rakesh Deore3
Section:Research Paper, Product Type: Journal Paper
Vol.06 ,
Special Issue.01 , pp.6-8, Jan-2018
Online published on Jan 31, 2018
Copyright © Bhojaraj Barhate, Dipashri Sisodiya, Rakesh Deore . 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.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Bhojaraj Barhate, Dipashri Sisodiya, Rakesh Deore, “Application of Speech Recognition: For Programming Languages,” International Journal of Scientific Research in Computer Science and Engineering, Vol.06, Issue.01, pp.6-8, 2018.
MLA Style Citation: Bhojaraj Barhate, Dipashri Sisodiya, Rakesh Deore "Application of Speech Recognition: For Programming Languages." International Journal of Scientific Research in Computer Science and Engineering 06.01 (2018): 6-8.
APA Style Citation: Bhojaraj Barhate, Dipashri Sisodiya, Rakesh Deore, (2018). Application of Speech Recognition: For Programming Languages. International Journal of Scientific Research in Computer Science and Engineering, 06(01), 6-8.
BibTex Style Citation:
@article{Barhate_2018,
author = {Bhojaraj Barhate, Dipashri Sisodiya, Rakesh Deore},
title = {Application of Speech Recognition: For Programming Languages},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {1 2018},
volume = {06},
Issue = {01},
month = {1},
year = {2018},
issn = {2347-2693},
pages = {6-8},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=3},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_spl_paper_view.php?paper_id=3
TI - Application of Speech Recognition: For Programming Languages
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - Bhojaraj Barhate, Dipashri Sisodiya, Rakesh Deore
PY - 2018
DA - 2018/01/31
PB - IJCSE, Indore, INDIA
SP - 6-8
IS - 01
VL - 06
SN - 2347-2693
ER -
Abstract :
Speech is used to transmit message through a sequence of sound units of a language. Speech produces sound waves modulated by vocal tract systems. In this paper we collect the speech signals of lexical units of c programming language. We create speech database for lexical units of c programming language. This study focuses on application of preprocessing algorithms on speech signal.The preprocessing is used toprocess raw data and prepare it for further processing. We use MFCC and SVM. We get average recognition rate of 85.00%.
Key-Words / Index Term :
MFCC and SVM
References :
[1]. M.A.Anusuya, S.K.Katti. “Speech Recognition by Machine:A Review”, International Journal of Computer Science and Information Security Vol6 No3 ,2009.
[2]. Rizzolatti, Giacomo, and Michael A. Arbib. "Language within our grasp."Trends in neurosciences 21.5 (1998): 188-194.
[3]. Tomasello, Michael. Origins of human communication. MIT press, 2010.
[4]. Stifelman, Lisa J., et al. "VoiceNotes: a speech interface for a hand-held voice notetaker." Proceedings of the INTERACT`93 and CHI`93 conference on Human factors in computing systems. ACM, 1993.
[5]. Furnas, George W., et al. "The vocabulary problem in human-system communication." Communications of the ACM 30.11 (1987): 964-971.
[6]. Itakura, Fumitada. "Minimum prediction residual principle applied to speech recognition." Acoustics, Speech and Signal Processing, IEEE Transactions on 23.1 (1975): 67-72.
[7]. Andre-Obrecht, Regine. "A new statistical approach for the automatic segmentation of continuous speech signals." Acoustics, Speech and Signal Processing, IEEE Transactions on 36.1 (1988): 29-40.
[8]. Quatieri, Thomas F. Discrete-time speech signal processing: principles and practice. Pearson Education India, 2002.
[9]. Rioul, Olivier, and Martin Vetterli. "Wavelets and signal processing."IEEE signal processing magazine 8.LCAV-ARTICLE-1991-005 (1991): 14-38.
[10]. O`shaughnessy, Douglas. Speech communication: human and machine. Universities press, 1987.
[11]. Ververidis, Dimitrios, and Constantine Kotropoulos. "Emotional speech recognition: Resources, features, and methods."Speech communication 48.9 (2006): 1162-1181.
[12]. Shaughnessy, Douglas O. "Interacting with computers by voice: automatic speech recognition and synthesis." Proceedings of the IEEE 91.9 (2003): 1272-1305.
[13]. Pal, Subhradeep. "Speech Signal Processing Nonlinear Energy Operator Centric Review."International Journal of Electronics Engineering Research: 205-221.
[14]. Muda, Lindasalwa, MumtajBegam, and I. Elamvazuthi. "Voice recognition algorithms usingmel frequency cepstral coefficient (MFCC) and dynamic time warping (DTW) techniques." arXiv preprint arXiv:1003.4083 (2010).
[15]. Hasan, MdRashidul, Mustafa Jamil, and MdGolamRabbaniMdSaifurRahman. "Speaker identification using Mel frequency cepstral coefficients." variations 1 (2004):
[16]. Cowling, Michael, and Renate Sitte. "Comparison of techniques for environmental sound recognition." Pattern recognition letters 24.15 (2003): 2895-2907.
[17]. Jiang, Dan-Ning, et al. "Music type classification by spectral contrast feature." Multimedia and Expo, 2002.ICME`02.Proceedings. 2002 IEEE International Conference on. Vol. 1.IEEE, 2002.
[18]. Chu, Selina, Shrikanth Narayanan, and CC Jay Kuo. "Environmental sound recognition with time–frequency audio features." Audio, Speech, and Language Processing, IEEE Transactions on 17.6 (2009): 1142-1158.
You do not have rights to view the full text article.
Please contact administration for subscription to Journal or individual article.
Mail us at support@isroset.org or view contact page for more details.