T M Thasleema

Work place: Department of Information Technology, Kannur University, Kerala, India, 670567

E-mail: thasnitm1@hotmail.com


Research Interests: Information Systems, Computer Science & Information Technology


T M Thasleema , female, is a Research Scholar at the Department of Information Technology, Kannur University. She had to her credit two book chapters and many research publications in national and international levels in the area of speech processing and pattern recognition. Currently she is doing her Ph.D in speech signal processing at Department of Information Technology, Kannur University under the supervision of Prof Dr N. K Narayanan.

Author Articles
Multi Resolution Analysis for Consonant Classification in Noisy Environments

By T M Thasleema N K Narayanan

DOI: https://doi.org/10.5815/ijigsp.2012.08.03, Pub. Date: 8 Aug. 2012

This paper investigates on the use of Wavelet Transform (WT) to model and recognize the utterances of Consonant – Vowel (CV) speech units in noisy environments. The peculiarity of the proposed method lies in the fact that using WT, non stationary nature of the speech signal can be accurately considered. A hybrid feature extraction namely Normalized Wavelet Hybrid Feature (NWHF) using the combination of Classical Wavelet Decomposition (CWD) and Wavelet Packet Decomposition (WPD) along with z-score normalization technique are studied here. CV speech unit recognition tasks performed for both noisy and clean speech units using Artificial Neural Network (ANN) and k – Nearest Neighborhood (k – NN) are also presented. The result indicates the robustness of the proposed technique based on WT in additive noisy condition.

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