响度轮廓对人工耳蜗声调判断影响的实验验证
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- 英文论文题名：Experimental validation of the effects of loudness contour on lexical tone identification with cochlear implants
- 论文作者：孟庆林
- 英文论文作者：MENG Qing-lin ; Acoustic Lab. ; School of Physics and Optoelectronics ; South China University of Technology
- 年：2016
- 作者机构：华南理工大学物理学与光电学院声学研究所;
- 论文关键词：人工耳蜗 ; 声调 ; 音高 ; 响度
- 英文论文关键词：Cochlear implants ; lexical tone ; pitch ; loudness
- 会议召开时间：2016-10-28
- 会议录名称：2016年全国声学学术会议论文集
- 语种：中文
- 分类号：R764.5
- 学会代码：OGSM
- 会议名称：2016年全国声学学术会议
- 会议地点：中国湖北武汉
- 主办单位：中国声学学会
- 学会名称：中国声学学会
- 页数：3
- 文件大小：596k
- 原文格式：D
- 会议级别：全国
摘要
音高轮廓是用于判断声调的主要线索。人工耳蜗中的音高编码较为粗糙,导致耳蜗植入者的声调识别能力较差。最近有研究发现,当音高编码较差时,参照单字中基频轮廓的变化趋势来调整汉字的强度变化趋势可以影响声调判断。本研究招募了5位成年植入者,让他们听12个响度轮廓被调整的单字,它们的响度轮廓被沿着音高轮廓的反方向调整。在先前的对照实验中,健听者的声调判断不会受到响度调整的影响。然而本实验验证了,植入者有时可能根据响度轮廓而不是音高轮廓来判断声调。例如对于一个女声bú,健听者都认为是二声,而4/5的植入者认为是四声。
Pitch contour is the primary cue for lexical tone identification. The pitch coding in cochlear implants(CIs) is so coarse that CI users cannot identify lexical tones as well as normal hearing listeners. Some recent studies demonstrated that, when the pitch coding was poor, some manipulations of the intensity variation trend within individual monosyllabic word according to its pitch contour variation trend could influence the identification of lexical tones. In this study, five adult CI users were recruited. The stimuli were twelve Mandarin monosyllabic words, whose loudness contour were modified in the reverse direction of their pitch contour. In a pre-test session, the tone identification in normal hearing control listeners were found to be not influenced by this kind of loudness-contour manipulation. However, results of this experiment showed that CI users had the possibility to identify the tones according to loudness contour rather than pitch contour sometimes. For example, four of the five CI users identified a female word /bú/, which was a rising tone(i.e., Tone 2) for normal hearing listeners, as a falling tone(i.e., Tone 4).
Pitch contour is the primary cue for lexical tone identification. The pitch coding in cochlear implants(CIs) is so coarse that CI users cannot identify lexical tones as well as normal hearing listeners. Some recent studies demonstrated that, when the pitch coding was poor, some manipulations of the intensity variation trend within individual monosyllabic word according to its pitch contour variation trend could influence the identification of lexical tones. In this study, five adult CI users were recruited. The stimuli were twelve Mandarin monosyllabic words, whose loudness contour were modified in the reverse direction of their pitch contour. In a pre-test session, the tone identification in normal hearing control listeners were found to be not influenced by this kind of loudness-contour manipulation. However, results of this experiment showed that CI users had the possibility to identify the tones according to loudness contour rather than pitch contour sometimes. For example, four of the five CI users identified a female word /bú/, which was a rising tone(i.e., Tone 2) for normal hearing listeners, as a falling tone(i.e., Tone 4).
引文
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[8]D.H.Whalen,Y.Xu.Information for Mandarin tones in the amplitude contour and in brief segments[J].Phonetica,1992,49:25-47.
[9]Q.J.Fu,F.G.Zeng,R.V.Shannon,S.D.Soli.Importance of tonal envelope cues in Chinese speech recognition[J].J Acoust Soc Am,1998,104(1):505-10.
[10]Q.J.Fu,F.G.Zeng.Identification of temporal envelope cues in Chinese tone recognition[J].Asia Pacific Journal of Speech,Language and Hearing,2000,5:45-57.
[11]X.Luo,Q.J.Fu.Enhancing Chinese tone recognition by manipulating amplitude envelope:implications for cochlear implants[J]J Acoust Soc Am,2004,116:3659-67.
[12]L.Ping,G.Tang,Q.Fu.Enhancing Chinese tone recognition by manipulating amplitude envelope:tone and speech recognition experiments with cochlear implant recipients[C].2015Conference on Implantable Auditory Prostheses,Granlibakken,Lake Tahoe,US,2015.
[13]孟庆林,郑能恒,李霞.响度变化引起的声调识别[C].中国声学学会全国声学学术会议,2014,363-366.Q.Meng,N.Zheng,X.Li.Lexical tone identification dervied from loudness variation[C].2014 National meetings of acoustical society of China,363-366.
[14]Q.Meng,N.Zheng,X.Li.Loudness Contour Can Influence Mandarin Tone Recognition:Vocoder Simulation and Cochlear Implants[J].IEEE Transactions on Neural Systems and Rehabilitation Engineering.Accepted,2016.
[2]宋益丹.汉语声调实验研究回望[J].语文研究,2006,98(1):41-45.Y.D.Song.Review on Chinese tone experimental studies[J].Chinese Research,2006,98(1):41-45.
[3]L.Xu,N.Zhou.Tonal Languages and Cochlear Implants,in Auditory Prostheses[M].vol.39,F.-G.Zeng,A.N.Popper,and R.R.Fay,Eds.,ed:Springer New York,2012,pp.341-364.
[4]B.C.J.Moore.An introduction to the psychology of hearing,5th ed[M].Amsterdam;Boston:Academic Press,2008.
[5]M.Yip.Tone[M].Cambridge University Press,2002.
[6]S.Duanmu.The phonology of standard Chinese[M].Oxford University Press,2002.
[7]林茂灿.普通话声调的声学特征和知觉征兆[J].中国语文.1998,3.M.C.Lin.Acoustical and perceptual cues for Mandarin tone[J].Zhongguo Yuwen,1998,3
[8]D.H.Whalen,Y.Xu.Information for Mandarin tones in the amplitude contour and in brief segments[J].Phonetica,1992,49:25-47.
[9]Q.J.Fu,F.G.Zeng,R.V.Shannon,S.D.Soli.Importance of tonal envelope cues in Chinese speech recognition[J].J Acoust Soc Am,1998,104(1):505-10.
[10]Q.J.Fu,F.G.Zeng.Identification of temporal envelope cues in Chinese tone recognition[J].Asia Pacific Journal of Speech,Language and Hearing,2000,5:45-57.
[11]X.Luo,Q.J.Fu.Enhancing Chinese tone recognition by manipulating amplitude envelope:implications for cochlear implants[J]J Acoust Soc Am,2004,116:3659-67.
[12]L.Ping,G.Tang,Q.Fu.Enhancing Chinese tone recognition by manipulating amplitude envelope:tone and speech recognition experiments with cochlear implant recipients[C].2015Conference on Implantable Auditory Prostheses,Granlibakken,Lake Tahoe,US,2015.
[13]孟庆林,郑能恒,李霞.响度变化引起的声调识别[C].中国声学学会全国声学学术会议,2014,363-366.Q.Meng,N.Zheng,X.Li.Lexical tone identification dervied from loudness variation[C].2014 National meetings of acoustical society of China,363-366.
[14]Q.Meng,N.Zheng,X.Li.Loudness Contour Can Influence Mandarin Tone Recognition:Vocoder Simulation and Cochlear Implants[J].IEEE Transactions on Neural Systems and Rehabilitation Engineering.Accepted,2016.