Cummings K E, Clements M A
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta 30332-0250, USA.
J Acoust Soc Am. 1995 Jul;98(1):88-98. doi: 10.1121/1.413664.
The problems of automatic recognition of and synthesis of multistyle speech have become important topics of research in recent years. This paper reports an extensive investigation of the variations that occur in the glottal excitation of eleven commonly encountered speech styles. Glottal waveforms were extracted from utterances of non-nasalized vowels for two speakers for each of the eleven speaking styles. The extracted waveforms were parametrized into four duration-related and two slope-related values. Using these six parameters, the glottal waveforms from the eleven styles of speech were analyzed both qualitatively and quantitatively. The glottal waveforms from each style speech were analyzed both qualitatively and quantitatively. The glottal waveforms from each style of speech have been shown to be significantly and identifiably different from all other styles, thereby confirming the importance of the glottal waveform in conveying speech style information and in causing speech waveform variations. The degree of variation in styled glottal waveforms has been shown to be consistent when trained on one speaker and compared with another.
多风格语音的自动识别与合成问题近年来已成为重要的研究课题。本文报告了对十一种常见语音风格的声门激励变化所进行的广泛研究。从十一种说话风格中的每种风格的两名说话者的非鼻音化元音发音中提取声门波形。提取的波形被参数化为四个与持续时间相关的值和两个与斜率相关的值。使用这六个参数,对十一种语音风格的声门波形进行了定性和定量分析。对每种语音风格的声门波形都进行了定性和定量分析。结果表明,每种语音风格的声门波形与所有其他风格都有显著且可识别的差异,从而证实了声门波形在传达语音风格信息和引起语音波形变化方面的重要性。当在一名说话者上进行训练并与另一名说话者进行比较时,风格化声门波形的变化程度已被证明是一致的。