Implementation of ASSR System Based on HMM and Syllable Models on FPGA
碩士 === 國立成功大學 === 電機工程學系 === 104 === Hidden Markov Models (HMMs) is one of the most popular methods for modern speech recognition. In this thesis, we propose an Automatic Speech-Speaker Recognition (ASSR) system on a FPGA platform. The ASSR system includes four parts: 1) pre-processing, 2) feature e...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/7ppebg |