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Speech Recognition System For North-East Indian Accent

by Moirangthem Tiken Singh, Abdur Razzaq Fayjie, Biswajeet Kachari
journal cover thumbnail

International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Number 4
Year of Publication: 2015
Authors: Moirangthem Tiken Singh, Abdur Razzaq Fayjie, Biswajeet Kachari
10.5120/ijais15-451398

Moirangthem Tiken Singh, Abdur Razzaq Fayjie, Biswajeet Kachari . Speech Recognition System For North-East Indian Accent. International Journal of Applied Information Systems. 9, 4 ( July 2015), 1-9. DOI=10.5120/ijais15-451398

@article{ 10.5120/ijais15-451398,
author = { Moirangthem Tiken Singh, Abdur Razzaq Fayjie, Biswajeet Kachari },
title = { Speech Recognition System For North-East Indian Accent },
journal = { International Journal of Applied Information Systems },
issue_date = { July 2015 },
volume = { 9 },
number = { 4 },
month = { July },
year = { 2015 },
issn = { 2249-0868 },
pages = { 1-9 },
numpages = {9},
url = { https://www.ijais.org/archives/volume9/number4/766-1398/ },
doi = { 10.5120/ijais15-451398 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T18:59:58.167282+05:30
%A Moirangthem Tiken Singh
%A Abdur Razzaq Fayjie
%A Biswajeet Kachari
%T Speech Recognition System For North-East Indian Accent
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 9
%N 4
%P 1-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speech recognition is the process of converting an acoustic waveform into the text containing the similar information conveyed by the speaker. This paper presents a speech recognition system for English digits in Indian (especially North Eastern) accent. Hidden Markov Model Tool kit (HTK-3. 4. 1) is chosen to implement the Hidden Markov Model as classifier with several set of Hidden Markov Model mixture. Mel Frequency Cepstral Coefficients are used as speech features. Experiments were performed for data collected in natural noise environment. The performance is evaluated using recognition rate. Hidden Markov Model state numbers and number of mixtures are investigated and possible directions for future research work are suggested.

References
  1. Mohit Dua et al. , "Punjabi Automatic Speech Recognition Using HTK," in IJCSI International Journal of Computer Science Issues, IJCSI press, Mauritius, Vol. 1, Issue 4, No. 1, Jul. 2012.
  2. Ganesh S. Pawar, Sunil S. Morade, "Isolated English Language Digit Recognition Using Hidden Markov Model Toolkit," in International Journal of Advanced Research in Computer Science and Software Engineering, Jaunpur- 222001, Uttar Pradesh, India, Vol. 4, Issue 6, June 2014.
  3. Vu Duc Lung et al. , "Speech Recognition in Human- Computer Interactive Control" in Journal of Automation and Control Engineering, 2448 Desire Avenue, Rowland Heights, CA 91748, Vol. 1, No. 3, Sep. 2013.
  4. A. N. Mishra et al. , "Isolated Hindi Digits Recognition: A Comparative Study" in International Journal of Electronics and Communication Engineering, India, Vol. 3, No. 1, 2010, pp. 229-238.
  5. P. Vijai Bhaskar et al. ,"HTK Based Telugu Speech Recognition" in International Journal of Advanced Research in Computer Science and Software Engineering, Jaunpur- 222001, Uttar Pradesh, India, Vol. 2, Issue 12, Dec. 2012.
  6. Yanli Zheng et al. , "Accent Detection and Speech Recognition for Shanghai-Accented Mandarin" in Proc. Interspeech, 2005.
  7. Elitza Ivanova et al. , "Recognizing American and Chinese Spoken English Using Supervised Learning"
  8. Konstantin Markov and Satoshi Nakamura, "Acoustic Modeling of Accented English Speech for Large- Vocabulary Speech Recognition" in International Speech Communication Association, ITRW on Speech Recognition and Intrinsic Variation(SRIV), Toulouse, France, May 2006.
  9. A. N. Mishra et al. , "Robust Features for Connected Hindi Digits Recognition" in International Journal of Signal Processing, Image Processing and Pattern Recognition,Vol. 4, No. 2, June 2011.
  10. MarutiLimkara et al. , "Isolated Digit Recognition Using MFCC AND DTW" in International Journal on Advanced Electrical and Electronics Engineering, Uttar Pradesh, India, Vol. 1, Issue 1, 2012.
  11. M. A. Anusuya and S. K. Katti, "Speech Recognition by Machine: A Review in International Journal of Computer Science and Information Security, vol. 6, no. 3, pp. 181-205, 2009.
  12. Preeti Saini et al. , "Hindi Automatic Speech Recognition Using HTK" in International Journal of Engineering Trends and Technology, Vol. 4, Issue 6, June 2013.
  13. B. H. Juang and L. R. Rabiner "Hidden Markov Models for Speech Recognition" in Technometrics, American Statistical Association,732 North Washington Street, Alexandria, Vol. 33, No. 3, Aug. 1991, pp. 251-272.
Index Terms

Computer Science
Information Sciences

Keywords

Regional accent HMM HMM mixture MFCC

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