摘要
利用矢量量化(VQ)技术实现了与文本有关的说话人识别。系统采用语音信号的LPC倒谱系数、差值倒谱系数、基音周期和差值基音周期的混合特征参数作为识别的特征矢量集,对语音库中语音的平均识别率达到了92%,实时识别率达到90%以上。实验结果表明该系统具有识别精度高、速度快等特点,是一种有效的说话人自动识别的实现方法。
It is mainly about a text-dependent speaker recognition system based on vector quantification (VQ) methods. The system uses LPC-derived cepstral coefficients, delta-cepstral coefficients, pitches and delta-pitches as the feature parameter set. Through the test of a speech library, it gets the fairly high recognition rate, which is about 92%. This system can also be used in the real-time speaker recognition.The effectiveness of the proposed method has been confirmed by experiments.
出处
《安徽工业大学学报（自然科学版）》
CAS
2005年第3期282-285,共4页
Journal of Anhui University of Technology（Natural Science）
关键词
语音信号处理
说话人识别
矢量量化
speech signal processing
speaker recognition
vector quantification
