摘要
提出了一种基于情感语音的差异检测与剔除的说话人识别方法,克服了前人的方法中需要在训练时提供测试说话人的情感语音或者需要在测试时提供测试语音的情感状态信息给系统的使用带来的不便性,并在识别性能上比传统的ASR系统提高4.7%。
This paper presents a new robust speaker recognition system based on difference detection and pruning of emotional speech,which avoids the inconvenience of needing the speaker emotional voice in training or the emotion state of the speaker in testing in other speaker recognition system.Furthermore,compared with the traditional ASR system,it enhances the system performance under emotion speech by 4.7% in identification rate.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第21期33-36,共4页
Computer Engineering and Applications
基金
国家高技术研究发展计划( 863)(the National High- Tech Research and Development Plan of China under Grant No.2006AA01Z136)
浙江省自然科学基金(the Natural Science Foundation of Zhejiang Province of China under Grant No.Y106705)
关键词
情感语音
差异检测
基频包络
说话人识别
emotion speech
difference detection
pitch envelope
speaker recognition
