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Speech recognition based on Hidden Markov Model | |
Author | Nguyen Viet Dung |
Call Number | AIT Thesis no.ISE-06-18 |
Subject(s) | Speech perception |
Note | A thesis report submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. ISE-06-18 |
Abstract | One concept of speech recognition is that the human utterance always contains statistical information, in which can be modeled by applying powerful mathematics. By using Hidden Markov Model approach, the speech recognition system has been implemented successfully. However, the incoming speech signal must be analyzed in the first step before going to any processing. The spectral analysis which includes Linear Predictive coding (LPC) and Vector Quantization methodology is selected for this purpose. The whole system was implemented on Matlab. With powerful tool in calculation, Matlab can solve complex mathematics problem in Hidden Markov Model. With the aim to control robot by speech, the system is speaker-dependent and has a vocabulary containing 20 English Words. The system performance efficiency is 86% |
Year | 2006 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ISE-06-18 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Industrial Systems Engineering (DISE) |
Academic Program/FoS | Industrial Systems Engineering (ISE) |
Chairperson(s) | Manukid Parnichkun; |
Examination Committee(s) | Afzulpukar, Nitin V.;Bohez, Erik L. J.; |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2006 |