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| 008 | 020520s2001 th u m rtt 00| a1eng d | ||
| 035 | _a.b11855423 | ||
| 099 | 9 | _aAIT Thesis no.ME-01-09 | |
| 100 | 0 | _aDusadee Treeumnuk | |
| 245 | 1 | 0 | _aImplementation of speech recognition on FPGA |
| 260 |
_aBangkok : _bAsian Institute of Technology, _c2001 |
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| 300 | _a84 p. | ||
| 490 | 1 |
_aThesis ; _vno. ME-01-09 |
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| 500 | _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies | ||
| 502 | _aThesis (M.Eng.) - Asian Institute of Technology, 2001 | ||
| 520 | _aOne 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 and the vector quantization methodology are selected for this purpose. Although in the first step, the speech recognition system is implemented properly in software programming but the goal of this thesis is to design an embedded chip that is more useful in the current market. Finally, by using VHDL and EDA tools, the speech recognition is implemented completely on FPGA with recognition efficiency of 92%. The system is speaker-dependent and has a vocabulary containing 52 Thai words as case study. | ||
| 650 | 0 | _aSpeech perception | |
| 650 | 0 | _aField programmable gate arrays | |
| 700 | 0 |
_aLertsak Lekawat, _eChairperson |
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| 700 | 0 |
_aSatien Triamlumlerd, _eExamination committee |
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| 700 | 0 |
_aManukid Parnichkun, _eExamination Committee |
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| 700 | 0 |
_aChumnarn Punyasai, _eExamination committee |
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| 710 | 2 |
_aNational Electronics and Computer Technology Center (NECTEC), _eScholarship donor |
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| 810 | 2 |
_aAsian Institute of Technology. _tThesis ; _vno. ME-01-09 |
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| 856 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B09132 |
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