"SVM and GMM Based Speech Recognition using PNCC"

Authors

R. Thiruvengatanadhan (Assistant Professor)
Annamalai University, Annamalainagar, Tamil Nadu, India.

Abstract

Automatic recognition of speech to make fast between human and machine communication. This paper describes a technique that uses Support Vector Machine (SVM) and Gaussian Mixture Model (GMM) to recognized speech based on features using Power Normalized Cepstral Coefficients (PNCC). Displaying methods, for example, SVM and GMM were utilized to demonstrate every individual word which is prepared to the framework. Each segregated word Segment utilizing Voice Activity Detection (VAD) from the test sentence is coordinated against these models for finding the semantic portrayal of the test input discourse. Experimental results of GMM shows good performance in recognized rate.