An experimental framework of speaker independent speech recognition system for Kashmiri language (K-ASR) system using Sphinx

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.