Mandarin Digits Speech Recognition Using Support Vector Machines  

作　　者：谢湘 匡镜明 

机构地区：[1]School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China [2]School

出　　处：《Journal of Beijing Institute of Technology》2005年第1期9-12,共4页北京理工大学学报（英文版）

基　　金：theNationalNaturalScienceFoundation(60372089)

摘　　要：A method of applying support vector machine (SVM) in speech recognition was proposed, and a speech recognition system for mandarin digits was built up by SVMs. In the system, vectors were linearly extracted from speech feature sequence to make up time-aligned input patterns for SVM, and the decisions of several 2-class SVM classifiers were employed for constructing an N-class classifier. Four kinds of SVM kernel functions were compared in the experiments of speaker-independent speech recognition of mandarin digits. And the kernel of radial basis function has the highest accurate rate of 99.33%, which is better than that of the baseline system based on hidden Markov models (HMM) (97.08%). And the experiments also show that SVM can outperform HMM especially when the samples for learning were very limited.A method of applying support vector machine (SVM) in speech recognition was proposed, and a speech recognition system for mandarin digits was built up by SVMs. In the system, vectors were linearly extracted from speech feature sequence to make up time-aligned input patterns for SVM, and the decisions of several 2-class SVM classifiers were employed for constructing an N-class classifier. Four kinds of SVM kernel functions were compared in the experiments of speaker-independent speech recognition of mandarin digits. And the kernel of radial basis function has the highest accurate rate of 99.33%, which is better than that of the baseline system based on hidden Markov models (HMM) (97.08%). And the experiments also show that SVM can outperform HMM especially when the samples for learning were very limited.

关 键 词：speech recognition support vector machine (SVM) kernel function 

分 类 号：TN912.3[电子电信—通信与信息系统]