An experimental framework of speaker independent speech recognition system for Kashmiri language (K-ASR) system using Sphinx
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2017, Vol 4, Issue 7
Abstract
Speech to text conversion in various languages have been performed so far but no process has defined for the Kashmiri language. There has been no research done on Kashmiri speech recognition. So in this work, we describe the development as well as implementation of first CMU Sphinx-3 based speech recognizer for the Kashmiri language. Recognition of the words have been done by using hidden markov models (HMMs). Dictionary consists of 100 words, representing Kashmiri digits from one (akh) to hundred (hat). Here, we developed a speaker independent, Kashmiri - Automatic Speech Recognition (KASR) system. The System is trained and tested for 1200 words spoken by 12 male and female speakers. Maximum Accuracy of 78.33% was achieved by the K-ASR system
Authors and Affiliations
Vivek Bhardwaj
Keywords
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