A Review on Speech Based Human-Machine Interaction System |
Author(s): |
| Mayur Katore , G.H. Raisoni Institute of Engineering & Technology, Pune; Mrs. M. R. Bachute, G.H. Raisoni Institute of Engineering & Technology, Pune |
Keywords: |
| Feature Extractions, Human Machine Interaction (HMI) Systems, Hidden Markov Model (HMM), Speech Recognition, Voice Recognition Chips |
Abstract |
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Advancement in software and hardware has provided lots of opportunities in Human-Machine interaction (HMI) particularly in Speech based Human-Machine interaction (HMI). Though there have been considerable achievements in this field but there are challenges like improvement in speech recognition, speech processing techniques, architecture for speech based HMI algorithms for learning and modeling. This review covers literature related to Human-Machine interaction, study of speech recognition, its techniques and overview of basic speech recognition model. In this paper we have also reviewed recent developments and ongoing work in this field which includes study of speech recognition by various models like Hidden Markov Model (HMM), Gaussian Mixture Model (GMM) and proposed model like Fused cross-correlation Model (FCCM) and study of various architecture for Speech based HMI like NIMTEK, PRESENCE. |
Other Details |
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Paper ID: IJSRDV3I50093 Published in: Volume : 3, Issue : 5 Publication Date: 01/08/2015 Page(s): 245-249 |
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