FPGA Architecture of HMM-based Decoder Module in Speech Recognizer

被引：0

作者：

Trang Hoang ^{[1
]}

Viet Vo Quoc ^{[1
]}

Truong Nguyen Ly Thien ^{[1
]}

机构：

[1] Ho Chi Minh City Univ Technol, Ho Chi Minh City, Vietnam

来源：

2012 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS) | 2012年

关键词：

Speech recognition; Viterbi Algorithm; Hidden Markov Model; number of mixture; number of state;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the reconfigurable architecture and implementation of HMM-based decoder module in speech recognizer on FPGA. The architecture is done with different parameters of speech recognition system that could be easily reconfigurable. The design and implementation on FPGA have been verified with utterances of 800 test speeches. The implementation results, the recognition accuracy results of up to 98% are also presented.

引用

页码：354 / 358

页数：5

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