HMM based isolated word Nepali speech recognition

This paper describes the implementation of HMM (Hidden Markov Model) based speaker independent isolated word Automatic Speech Recognition (ASR) system for Nepali Language, a commonly spoken language in Nepal. The system has been developed in python using numpy[1] and YAHMM[2] libraries. The system is trained in different Nepali words by collecting data from different speakers in room environment. The tests have also been carried out in similar setup. This paper details the experiment by discussing the concept, implementation details and overall interpretation of the system. The experimental results show that the overall accuracy of the presented system is about 75%.