A new frequency scale of Chinese whispered speech in the application of speaker identification

In this paper, the frequency characteristics of Chinese whispered speech were investigated by a filter bank analysis. It was shown that the first and the third formants were more important than the other formants in the speaker identification of Chinese whispered speech. The experiment showed that the 800?1200 Hz and 2800?3200 Hz ranges were the most significant frequency ranges in discriminating the speaker. Based on this result, a new feature scale named whisper sensitive scale (WSS) was proposed to replace the common scale, Mel scale, and to extract the cepstral coefficient from whispered speech signal. Furthermore, a speaker identification system in whispered speech was presented based on the modified Hidden Markov Models integrating advantages of WSCC (the whisper sensitive cepstral coefficient) and LPCC. And the new system performed better in solving the problem of speaker identification of Chinese whispered speech than the traditional method.     

汉语耳语音库的建立与听觉实验研究

耳语音的识别和转换是个全新的课题,可应用于公共场合下的通讯和公安司法工作的某些特殊需要等方面.首先建立了一个包含1172个字和98个近音词的单人女声的汉语耳语音库.通过对两个听觉测试实验数据的统计分析,研究了人耳对汉语耳语音字和近音词声调的辨认率特征,得出人耳对孤立字四个声调的辨认率由高到低的排序为三声>四声>二声>一声.同时也得出人耳对词声调的辨认能力比字要强得多.幅值包络和音长这两个特征参量能够反映出汉语耳语音声调的特性,基于此参数对汉语耳语音字进行声调识别实验,其声调识别率已达到了人耳的平均辨认率,为连续耳语音声调识别研究打下了基础.