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.

ReseacrhOfAPPlieationOfEmbeddedSPeeehRecognitiononAutomobileGPSNavigationSysetm.nh

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．