Research Article
Segmentation of Continuous Speech into Consonant and Vowel Units using Formant Frequencies
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 56 - Issue 15 |
| Published: October 2012 |
| Authors: V. Anantha Natarajan, S. Jothilakshmi |
10.5120/8968-3185
|
V. Anantha Natarajan, S. Jothilakshmi . Segmentation of Continuous Speech into Consonant and Vowel Units using Formant Frequencies. International Journal of Computer Applications. 56, 15 (October 2012), 24-27. DOI=10.5120/8968-3185
@article{ 10.5120/8968-3185,
author = { V. Anantha Natarajan,S. Jothilakshmi },
title = { Segmentation of Continuous Speech into Consonant and Vowel Units using Formant Frequencies },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 56 },
number = { 15 },
pages = { 24-27 },
doi = { 10.5120/8968-3185 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A V. Anantha Natarajan
%A S. Jothilakshmi
%T Segmentation of Continuous Speech into Consonant and Vowel Units using Formant Frequencies%T
%J International Journal of Computer Applications
%V 56
%N 15
%P 24-27
%R 10.5120/8968-3185
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper addresses the issues in segmentation of continuous speech into sub-word units of speech using Formants and support vector machines (SVMs). Many studies have been conducted to identify and discriminate vowels and consonants using acoustic/articulatory differences. In this study the continuous speech is segmented into smaller speech units and each unit is classified either consonant or vowel using the Formant frequencies. This process when further combined with recognition of each unit will form a complete speech recognition system. The proposed detection strategy is tested with the speech signals recorded from the television broadcast.
References
- B. van Ooyen, A. Cutler and D. Norris. Detection of Vowels and Consonants with Minimal Acoustic Variation. Speech Communication, vol. 11, 1992.
- Suryakanth V. Gangashetty, C. Chandra Sekhar, and B. Yegnanarayana. Detection of Vowel Onset Points in Continuous Speech using Autoassociative Neural Network Models. In: Proc of Int. Conf. Spoken Language Processing , INTERSPEECH 2004-ICSLP . Page(s):1081-1084.
- Biljana Prica and Sini?sa Ili´c. Recognition of Vowels in Continuous Speech by Using Formants. SER. : ELEC. ENERG. vol. 23, no. 3, December 2010, Page(s): 379-393
- Theodorous Giannakopoulous. A method for silence removal and segmentation of speech signals. Computational Intelligence Laboratory (CIL), Institute of Informatics and telecommunications, NSCR Demokritos, Greece 2009.
- G. Palshikar. Simple algorithms for peak detection in time-series, trddc technical report'09. In Technical Report, TRDDC.
- Ali A. , Bhatti. S, Mian M. S. Formants Based Analysis for Speech Recognition, Engineering of Intelligent Systems, 2006 IEEE International Conference , Page(s): 1 – 3.
- C. J. C. Burges, A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, Page(s): 121-167,1998.
- S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999.
Index Terms
Keywords