<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this work, a class of neuro-computational classifiers are used for classification of fricative phonemes of Assamese language. Initially, a Recurrent Neural Network (RNN) based classifier is used for classification. Later, another neuro fuzzy classifier is used for classification. We have used two different feature sets for the work, one using the specific acoustic-phonetic characteristics and another temporal attributes using linear prediction cepstral coefficients (LPCC) and a Self Organizing Map (SOM). Here, we present the experimental details and performance difference obtained by replacing the RNN based classifier with an adaptive neuro fuzzy inference system (ANFIS) based block for both the feature sets to recognize Assamese fricative sounds.</p></abstract>

In this work, a class of neuro-computational classifiers are used for classification of fricative phonemes of Assamese language. Initially, a Recurrent Neural Network (RNN) based classifier is used for classification. Later, another neuro fuzzy classifier is used for classification. We have used two different feature sets for the work, one using the specific acoustic-phonetic characteristics and another temporal attributes using linear prediction cepstral coefficients (LPCC) and a Self Organizing Map (SOM). Here, we present the experimental details and performance difference obtained by replacing the RNN based classifier with an adaptive neuro fuzzy inference system (ANFIS) based block for both the feature sets to recognize Assamese fricative sounds.

A Class of Neuro-Computational Methods for Assamese Fricative Classification

Department of Applied Electronics and Instrumentation, GIMT al., Guwahati-781017, Assam, India

Department of Electronics and Communication Engineering, Gauhati University al., Guwahati- 781014, Assam, India

Department of Electronics and Communication Technology, Gauhati University al. Guwahati- 781014, Assam, India

Journal of Artificial Intelligence and Soft Computing Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"A Class of Neuro-Computational Methods for Assamese Fricative Classification"}

In this work, a class of neuro-computational classifiers are used for classification of fricative phonemes of Assamese language. Initially, a Recurrent Neural...

A Class of Neuro-Computational Methods for Assamese Fricative Classification

Published Online: Apr 30, 2015

Page range: 59 - 70

DOI: https://doi.org/10.1515/jaiscr-2015-0019

© 2015

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.