Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Vowel Classification based on LPC and ANN

Print
PDF
International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 6
Year of Publication: 2012
Authors:
R. B. Shinde
V. P. Pawar
10.5120/7777-0862

R B Shinde and V P Pawar. Article: Vowel Classification based on LPC and ANN. International Journal of Computer Applications 50(6):27-31, July 2012. Full text available. BibTeX

@article{key:article,
	author = {R. B. Shinde and V. P. Pawar},
	title = {Article: Vowel Classification based on LPC and ANN},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {6},
	pages = {27-31},
	month = {July},
	note = {Full text available}
}

Abstract

The vowel sounds are perhaps the most interesting class of sound in English. Their importance to the classification and representation of written text is very low; however, most practical speech recognition systems rely heavily on vowel recognition to achieve high performance. In this paper we propose a technique for the vowel classification using Linear Prediction Coefficient with combination of statistical approach and Artificial Neural Network. The proposed technique achieves the 98. 7% accuracy rate for vowel classification.

References

  • International Phonetic Association, Department of Theoretical and Applied Linguistics, School of English, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece. International Phonetic Alphabet chart, 1996.
  • A. Waibel, H. Sawai, and K. Shikano, "Consonant Recognition by Modular construction of Large Phonemic Time Delay Neural Network", IEEE International Conference on Acoustics, Speech, and Signal Processing , pp. 107-110, April 1989.
  • Gopalakrishna Anumanchipalli, Rahul Chitturi, "Development of Indian Language Speech Databases for Large Vocabulary Speech Recognition Systems"
  • Singh, S. P. , et al Building Large Vocabulary Speech Recognition Systems for Indian Languages, International Conference on Natural Language -Processing, 1:245-254, 2004.
  • Evgeniy Gabrilovich, Alberto D. Berstin: "Speaker recognition: using a vector quantization approach for robust text-independent speaker identification", Technical report DSPG-95-9-001?, September 1995.
  • Tridibesh Dutta, "Text dependent speaker identification based on spectrograms", Proceedings of Image and vision computing, New Zealand 2007.
  • D. A. Reynolds, "An overview of automatic speaker recognition technology," Proc. IEEE Int. Conf. Acoustic. , Speech Signal Process. (ICASSP'02), 2002, pp. IV-4072–IV-4075.
  • Jamel Price and Ali Eydgahi, "Design of Matlab®-Based Automatic Speaker Recognition Systems," 9th International Conference on Engineering Education T4J-1, July 23 – 28, 2006.
  • "Isolated Word, Speech Recognition using Dynamic Time Warping. " Dynamic Time Warping. 14 June 2005.
  • Jiehua Dai Zhengzhe Wei, "Study and Implementation of Feature Extraction and Comparison In Voice Recognition"
  • Bharti W. Gawali, Santosh Gaikwad, Pravin Yannawar, Suresh C. Mehrotra, "Marathi Isolated Word Recognition System using MFCC and DTW Features", Proc. of Int. Conf. on Advances in Computer Science 2010
  • Qi li, frank k. Soong, and olivier siohan, "A High-Performance Auditory Feature For Robust Speech Recognition"
  • Transform Dr. H B Kekre1, Vaishali Kulkarni, "Speaker Identification using Row Mean of DCT and Walsh Hadamard" International Journal on Computer Science and Engineering (IJCSE), ISSN : 0975-3397 Vol. 3 No. 3 Mar-2011
  • "Digital Signal Processing" By-P. Ramesh Babu Scitech Publications (India) PVT, LTD.
  • "Fundamental of Speech Recognition" By-Lawrence Rabiner , Biing-Hwang Juang, Published by Pearson Education (Singapore) Pte. Ltd. Indian Branch.