Title:
ReseacrhOfAPPlieationOfEmbeddedSPeeehRecognitionon
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- 2012-11-26
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Description: This paper describes the current status of the development of speech recognition and the main means of analysis used in speech recognition parameters and compare the main features cutting-edge research, while focused on explaining the most commonly used in speech recognition, Hidden Markov H (MM) model of , and the widely used vector quantization (VQ). Then introduced the embedded platform, from hardware and software aspects of highlighting the relevant parts of speech recognition with the design, including hardware and associated drivers for the design, finally introduced a system implementation method and test results.
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