Implementation and performance evaluation of continuous Hindi speech recognition

@article{Kuamr2014ImplementationAP,
  title={Implementation and performance evaluation of continuous Hindi speech recognition},
  author={Ankit Kuamr and Mohit Dua and Arun Choudhary},
  journal={2014 International Conference on Electronics and Communication Systems (ICECS)},
  year={2014},
  pages={1-5}
}
Speech to Text recognition is the ability of a machine to recognize the human speech and convert in to text sequence. In this paper, we compare the performance of isolated word, connected word, and continuous speech recognition system with different vocabulary sizes. Hidden Markov Model toolkit HTK 3.4.1 is used to develop the system. For feature extraction, Mel Frequency Cepstral Coefficient (MFCC) and Perceptual Linear Prediction (PLP) both are used in this paper. The aim of this paper is to… CONTINUE READING