Automatic Speech Recognition of isolated words in Hindi language using MFCC

Speech is natural vocalized and primary means of communication. Speech is easy, hand-free, fast and do not require any technical knowledge. Communicating with computer using speech is simple and comfortable way for human being. Speech recognition system made this possible. The acoustic and language model for this system are available but mostly in English language. In India there are so many peoples who can't understand or speak English. So the speech recognition system in English language is of no use for these people. Here we presented Isolated Hindi words recognition system which is a part of Automatic Speech Recognition (ASR) system. The main goal of ASR system understands a voice by computer or microphone and converts it into the text to perform required task. In this paper, we have used MFCC as feature extraction technique, Vector Quantization (VQ) with GMM (Gaussian Mixture Model) for recognition of Hindi isolated words. For practical analysis we prepared the Hindi words speech dataset of different males and females speakers.