期刊文献+

汉语元音激励模式及其语音性质 被引量:2

原文传递
导出
摘要 声音进入外围听觉系统以后会经历很多变化.激励模式(excitation pattern)是指从心理声学的角度给出的经历了这样的变化后的声音的内部表达式.本文研究了汉语稳态元音的激励模式与其语音性质之间的关系.首先,在一个语料库上测量了激励模式的包络峰,结果显示这些汉语元音每个都有自己独特的峰位置.然后,为了检验激励模式峰位置对元音性质(vowel quality)知觉的充分性,设计了一系列辨识和评价实验.其中实验刺激是经过特殊的滤波处理改变了原有激励模式的自然孤立发音的汉语单元音.被试对刺激信号的反应显示元音的激励模式的特定包络峰位置对其语音性质起到决定性作用.这些结果表明,这些元音的语音性质由其激励模式的特定峰的位置决定,与激励模式的其他峰无关(如果存在的话).最后,基于本文结果对一些言语知觉现象进行了解释.
作者 于水源
出处 《中国科学(F辑:信息科学)》 CSCD 2009年第8期886-895,共10页
基金 中国传媒大学211工程三期重点学科建设项目资助
  • 相关文献

参考文献27

  • 1Pickett J M.The Acoustics of Speech Communication:Fundamentals,Speech Perception Theory,and Technology. . 1998
  • 2De Cheveign■ A,Kawahara H.Missing data model of vowel perception. The Journal of The Acoustical Society of America . 1999
  • 3Molis M R.Evaluating models of vowel perception. The Journal of The Acoustical Society of America . 2005
  • 4Houtgast T.Auditory analysis of vowel-like sounds. Acustica . 1974
  • 5Tyler R S,Lindblom B.Preliminary study of simultaneous masking and pulsation threshold patterns of vowels. The Journal of The Acoustical Society of America . 1982
  • 6Sachs M B,Young E D,Miller M I.Encoding of speech features in the auditory nerve. The Representation of Speech in the Peripheral . 1982
  • 7Chistovich L A,Sheikin R L,Lublinskaya V V.‘Centers of gravity‘ and the spectral peaks as the determinants of vowel quality. Frontiers of Speech Communication Research . 1979
  • 8Traunmüller H.Perception of timbre:evidence for spectral resolution bandwidth different from critical band?. The Representation of Speech in the Peripheral . 1982
  • 9Chistovich L A.Center auditory processing of peripheral vowel spectral. The Journal of The Acoustical Society of America . 1985
  • 10Farnsworth P R.An approach to the study of vocal resonance. The Journal of The Acoustical Society of America . 1937

同被引文献16

  • 1于水源,陈玉东,吴洁茹.谱综合与汉语后元音/γ/的知觉[J].中国科学:信息科学,2010,40(10):1363-1371. 被引量:1
  • 2徐泾平,程敬之.功率倒谱技术在呼吸系统声传播特性分析中的应用[J].科学通报,1995,40(16):1518-1521. 被引量:4
  • 3Deng L, Huang X D. Challenges in adopting speech recognition. Comm ACM, 2004, 1: 69-75.
  • 4Nakajima Y, Kashioka H, Shikano K, et al. Nonaudible murmur recognition input interface using stethoscopic microphone attached to the skin. In: Proc. IEEE ICASSP, 2003. 708-711.
  • 5Denby B, Schultz T, Honda K, et al. Silent speech interfaces. Speech Comm, 2010, 52:270-287.
  • 6Wester M, Schultz T. Unspoken speech-speech recognition based on electroencephalography. Master's Thesis. Karlsruhe: Universitat Karlsruhe (TH), 2006.
  • 7Maier-Hein L, Metze F, Schultz T, et al. Session independent non-audible speech recognition using surface electromyography. In: IEEE Workshop on Automatic Speech Recognition and Understanding, 2005.331-336.
  • 8Nakajima Y, Kashioka H, Campbell N, et al. Nonaudible murmur (NAM) recognition. IEICE Trans Inform Systems, 2006, E89-D: 1-8.
  • 9Heracleous P, Kaino T, Saruwatari H, et al. Unvoiced speech recognition using tissue-conductive acoustic sensor. EURASIP J Adv Signal Process,2007, 1:1-11.
  • 10Hirahara T, Otani M, Shimizu S, et al. Silent-speech enhancement system utilizing body-conducted vocal-tract resonance signals. Speech Comm, 2010, 52:301-313.

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部