基于TMS320C54X DSP的语音识别系统算法研究  

The Research of Speech Recognition Algorithm Implement on TMS320C54X DSP

作　　者：谢存禧[1] 张东[1] 

机构地区：[1]华南理工大学机器人研究所,广东广州510641

出　　处：《机电工程技术》2006年第9期69-72,共4页Mechanical & Electrical Engineering Technology

基　　金：广东省科技攻关项目(项目编号:2004B10201010);粤港招标项目(项目编号:20054982304)

摘　　要：本文提出了在嘈杂环境下基于短时平均的幅度和过零率的语音起止点检测算法,以及通过改变权重达到限制路径延展方向的动态时间弯折匹配方法。该识别系统的特征提取采用了Mel频率倒谱系数(MFCC),识别方式采用了动态时间弯折的模板匹配法。在TMS320VC5409DSP工业标准的基础上,应用此识别算法建立了一种基于孤立词、小词汇量、特定人识别的嵌入式语音识别系统,在兼顾最小能耗和便于携带的原则下获得了噪声环境下的快速识别和高识别率。文中论述的方法现已应用于工作在医院环境噪声下的机器人化多功能护理床控制系统中。In this paper a new designed algorithm which has been used to improve the detection of start and end word by combining energy and zero crossing criteria is presented.Besides this,a modified Dynamic Time Warping (DTW) by altering the weight of path is also proposed.In this system the feature extraction is based on Mel-scaled Frequency Cepstral Coefficients (MFCC) and template matching employs improved (DTW).The algorithms test is carried out by designing an Embedded Speech Recognition System,which implements a speaker dependent,isolated word and small vocabulary.The hardware is built on the industry standard TMS320VC5409 DSP.Both the hardware and the software have been designed to achieve high-speed recognition with maximum accuracy in noisy conditions.The recognition system also has been designed in minimum power cost and portable type.These methods are introduced in embedded speech recognition system of robotic hospital bed control system.

关 键 词：DSP信号处理 语音识别 起点检测 DTW 

分 类 号：TN912.34[电子电信—通信与信息系统]