摘要
结合汉语字单音节的特点,以0~9十个数字的音节设计局部码本,提出了在训练和识别过程中的FSVQ算法,使讲话者识别系统的正识率达到95%.
Based on property of chinese character being a single syllable, we study FSVQs algorithm of training codebook and speaker recognition in (0~9) ten chinese characters being designed partial codebook ,so that to yield speaker recognition accuracy rate 95%.
出处
《兰州大学学报(自然科学版)》
CAS
CSCD
北大核心
1996年第4期77-81,共5页
Journal of Lanzhou University(Natural Sciences)
关键词
语音识别
讲话者识别系统
汉语
音节检测
recognition system reflection coefficients finite state machines syllable