N K Narayanan

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

E-mail: nknarayanan@gmail.com


Research Interests: Image Processing, Image and Sound Processing, Image Manipulation, Image Compression, Neural Networks


N K Narayanan, male, is a Senior Professor of Information Technology, Kannur University, Karala, India. He earned a Ph.D in speech signal processing from Department of Electronics, CUSAT, Kerala, India in 1990. He has published about eighty four research papers in national & international journals in the area of Speech processing, Image processing, Neural networks, ANC and Bioinformatics. He has served as Chairman of the School of Information Science & Technology, Kannur University during 2003 to 2008, and as Principal, Coop Engineering College, Vadakara, Kerala, India during 2009-10. Currently he is the Director, UGC IQAC, Kannur University

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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