摘要
说话人身份识别是生物识别技术的一种,属于模式识别的范畴。说话人识别的目的是根据语音信息识别说话人身份。从技术上主要 是从说话人语音信息中提取反映说话人的生理和行为特征的语音参数,并根据这些语音参数自动识别说话人的身份。该文分析了常见的说话 人识别方法,并以此为基础实现了一种说话人身份识别系统设计。
Speakers identity recognition is a type of organism recognition technology,which belongs to the scope of pattern recognition. Speaker recognition aims at recognizing the identity of a speaker by speech. In technology, speech features reflecting the physical and action feature of individuals arc distilled from speech and the identity of the speaker is automatically recognized according to these speech parameters. This paper analyzes several traditional speech recognition methods and implements a speeille speaker recognition system design.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第B12期365-366,385,共3页
Computer Engineering
关键词
特征提取
线性预测编码
倒谱
矢量量化
Feature extracting
Linear predictive coding
Cepstrum
Vector quantization