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...

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Bibliographic Details
Main Authors: Wei-XiangLiao, 廖韋翔
Other Authors: Jhing-Fa Wang
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/7ppebg

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