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支持向量机语音识别算法在DM6446上的实现
引用本文:牛砚波,张雪英,刘晓峰.支持向量机语音识别算法在DM6446上的实现[J].计算机工程与应用,2012,48(20):67-69,86.
作者姓名:牛砚波  张雪英  刘晓峰
作者单位:1. 太原理工大学信息工程学院,太原,030024
2. 太原理工大学数学学院,太原,030024
基金项目:国家自然科学基金(No.61072087)
摘    要:针对语音识别系统对实时性和便携性的要求,提出一种基于MFCC/SVM在DM6446嵌入式系统开发平台上的实现方法,实现了一个面向非特定人的语音识别系统,将有向无环图多类分类支持向量机算法移植到该平台。并在该平台用DAG方法对非特定人孤立词和连接词进行语音识别,比隐马尔可夫模型有明显优势。通过样本预选取算法对训练样本进行预选取处理,并且应用到嵌入式语音识别系统中,大大降低了训练时间和测试时间。

关 键 词:支持向量机  DM6446  多类分类  语音识别

SVMs speech recognition algorithm implementation on DM6446
NIU Yanbo , ZHANG Xueying , LIU Xiaofeng.SVMs speech recognition algorithm implementation on DM6446[J].Computer Engineering and Applications,2012,48(20):67-69,86.
Authors:NIU Yanbo  ZHANG Xueying  LIU Xiaofeng
Affiliation:1.College of Information Engineering,Taiyuan University of Technology,Taiyuan 030024,China 2.College of Mathematics,Taiyuan University of Technology,Taiyuan 030024,China
Abstract:In order to meet the need of real-time and portable characteristics of the speech recognition system,this paper proposes a method for speaker-independent word speech recognition system which combines MFCC with SVM on DM6446 embedded speech recognition system,and transplants multiclass classification support vector machines of DAG methods on this system.Using DAG methods in speaker-independent isolated word and connected word speech recognition system,the results are better than hidden Markov models.Pre-selecting the training sample through pre-selection algorithm in embedded speech recognition system,the results greatly reduce training time and testing time.
Keywords:Support Vector Machine(SVM)  DM6446  multiclass classification  speech recognition
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