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首页> 外文期刊>Journal of the Association for Research in Otolaryngology: JARO >Acoustic Context Alters Vowel Categorization in Perception of Noise-Vocoded Speech
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Acoustic Context Alters Vowel Categorization in Perception of Noise-Vocoded Speech

机译:声学背景改变了噪声声语音的感知中的元音分类

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摘要

Normal-hearing listeners' speech perception is widely influenced by spectral contrast effects (SCEs), where perception of a given sound is biased away from stable spectral properties of preceding sounds. Despite this influence, it is not clear how these contrast effects affect speech perception for cochlear implant (CI) users whose spectral resolution is notoriously poor. This knowledge is important for understanding how CIs might better encode key spectral properties of the listening environment. Here, SCEs were measured in normal-hearing listeners using noise-vocoded speech to simulate poor spectral resolution. Listeners heard a noise-vocoded sentence where low-F-1 (100-400 Hz) or high-F-1 (550-850 Hz) frequency regions were amplified to encourage "eh" (/E >/) or "ih" (/E/) responses to the following target vowel, respectively. This was done by filtering with +20 dB (experiment 1a) or +5 dB gain (experiment 1b) or filtering using 100 % of the difference between spectral envelopes of /E >/ and /E/ endpoint vowels (experiment 2a) or only 25 % of this difference (experiment 2b). SCEs influenced identification of noise-vocoded vowels in each experiment at every level of spectral resolution. In every case but one, SCE magnitudes exceeded those reported for full-spectrum speech, particularly when spectral peaks in the preceding sentence were large (+20 dB gain, 100 % of the spectral envelope difference). Even when spectral resolution was insufficient for accurate vowel recognition, SCEs were still evident. Results are suggestive of SCEs influencing CI users' speech perception as well, encouraging further investigation of CI users' sensitivity to acoustic context.
机译:正常听觉听众的语音感知受到光谱对比效果(SCES)的广泛影响,其中给定声音的感知被偏离了前面的声音的稳定光谱特性。尽管有这种影响,但目前尚不清楚这些对比效果如何影响用于触摸局部植入物(CI)的智能植入物(CI)用户令人惊奇地贫困的用户。这种知识对于了解CIS如何更好地编码聆听环境的关键频谱属性非常重要。在这里,使用噪声声语音在正常听力监听器中测量SCES以模拟光谱分辨率差。听众听到了一个噪声声句,其中低于F-1(100-400Hz)或高F-1(550-850 Hz)频率区域以鼓励“EH”(/ E> /)或“IH” (/ e <女性序号> /)分别响应以下目标元音。这是通过用+20dB(实验1a)或+ 5 dB增益(实验1b)过滤或使用100%的频谱包络之间的差异来过滤来完成/ e> /和/ e <女性序数指示灯> / endpoint元音(实验2a)或仅25%的这种差异(实验2b)。在各个级别的光谱分辨率下每个实验中的噪声声音元音的识别受到影响。在每种情况下,只有一个,SCE大小超过了报告的全频谱语音的量,特别是当前一句中的光谱峰值大(+ 20 dB增益,100%的频谱包络差)。即使当光谱分辨率不足以准确元音识别时,SCES仍然很明显。结果表明SCES影响CI用户的语音感知,令人鼓舞的进一步调查CI用户对声学背景的敏感性。

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