Design of DSP speech recognition system based on denoising technology

WEI Gao-wu; FENG Zu-yong

doi:10.13873/J.1000-9787(2017)01-0108-03

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Design of DSP speech recognition system based on denoising technology

更新时间：2025-09-11

- Design of DSP speech recognition system based on denoising technology
- Vol. 36, Issue 1, Pages: 108-110+118(2017)
- 作者机构：
  
  广东工业大学物理与光电工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2017)01-0108-03
  CLC： TN912.34
- Published：2017
- 稿件说明：
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[1]韦高梧,冯祖勇.基于去噪技术的DSP语音识别系统设计[J].传感器与微系统,2017,36(01):108-110+118.

WEI Gao-wu, FENG Zu-yong. Design of DSP speech recognition system based on denoising technology[J]. 2017, 36(1): 108-110+118.
[1]韦高梧,冯祖勇.基于去噪技术的DSP语音识别系统设计[J].传感器与微系统,2017,36(01):108-110+118. DOI： 10.13873/J.1000-9787(2017)01-0108-03.

WEI Gao-wu, FENG Zu-yong. Design of DSP speech recognition system based on denoising technology[J]. 2017, 36(1): 108-110+118. DOI： 10.13873/J.1000-9787(2017)01-0108-03.

摘要

针对语音识别系统对抗环境噪声的实际需求

提出一种二次组合抗噪技术

研究并设计了一种以数字信号处理器（DSP）为硬件平台

以隐马尔可夫模型（HMM）为算法的抗噪声嵌入式语音识别系统。DSP采用型号为TMS320VC5509A的芯片

配以外围硬件电路构成语音识别系统的硬件平台。软件设计以离散隐马尔可夫模型（DHMM）为识别算法进行编程

系统软件主要有识别、训练、学习和USB四个主要模块。实验结果表明:基于二次组合去噪技术的语音识别系统有更好的抗噪声效果。

Abstract

Aiming at practical demand for speech recognition anti-noise

propose a secondary combination antinoise technology

design an anti-noise embedded speech recognition system

which uses digital signal processor（ DSP） as hardware platform and hidden Markov model（ HMM） as algorithm. The hardware platform of speech recognition system is constructed by TMS320VC5509 A DSP

and the system is matched with peripheral hardware circuit to form speech recognition system. Using discrete hidden Markov model（ DHMM） as recognition algorithm for software design and programming

system software include four modules

which are identification module

training module

learning module and USB module. Experimental results show that speech recognition system based on secondary combination anti-noise technology has better anti-noise effect.

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Keywords

references

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TMS320C6713与TLV320AIC23B的接口设计及实现 [J]. 倪启彦,石建波. 微型机与应用 . 2011(08)

基于HMM和新型前馈型神经网络的语音识别研究 [J]. 冯宏伟,薛蕾. 计算机工程与设计 . 2010(24)

噪声鲁棒语音识别研究综述 [J]. 雷建军,杨震,刘刚,郭军. 计算机应用研究 . 2009(04)

语音识别和说话人识别中各倒谱分量的相对重要性 [J]. 甄斌,吴玺宏,刘志敏,迟惠生. 北京大学学报(自然科学版) . 2001(03)

基于组合去噪方法的语音识别抗噪技术研究 [D]. 柳奇芳. 电子科技大学 2008

DSP原理与应用[M]. 机械工业出版社 , 张东亮, 2011

语音信号处理[M]. 清华大学出版社 , 韩纪庆, 2004

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