ACOUSTIC FEATURES OPTIMIZATION FOR PUNJABI AUTOMATIC SPEECH RECOGNITION SYSTEM

Abstract

With many advances made in automatic speech recognition technology over past few decades, there is now an increasing demand of developing Indian ASR. There is a huge gap between performance of machines and a human due to lack of resources, complexity in handling feature vectors, decorrelation of feature information and robustness beside ever increasing changes in input speech conditions. Different approaches have been examined to tackle these factors. The aim of the proposed research work is to cope with these issues through refinement, combination, & integration of front and back end approaches with different methodologies.