Auditory Brainstem Representation of the Voice Pitch Contours in the Resolved and Unresolved Components of Mandarin Tones.
Auditory Brainstem Representation of the Voice Pitch Contours in the Resolved and Unresolved Components of Mandarin Tones.
复制标题
普通话声调已解析和未解析成分中音高轮廓的听觉脑干表征
DOI：
10.3389/fnins.2018.00820
复制
发表时间：
2018
影响因子：
4.3
通讯作者：
Innes-Brown H
中科院分区：
文献类型：
--
作者：
Peng F;McKay CM;Mao D;Hou W;Innes-Brown H
语音音高的准确感知在语音理解中起着至关重要的作用，特别是对于有声调的语言，如汉语。词汇音调主要通过声波波形的基频（F0）轮廓来区分。结果表明，听觉系统可以从分辨和未分辨谐波中提取出F0，分辨谐波的声调识别性能优于未分辨谐波。为了评估神经反应的解决和未解决的组成部分，普通话音调在安静和语音噪声，我们记录了频率跟随响应。在这项研究中，使用了四种类型的刺激：无论是在安静和语音形状的噪音，只有解决谐波或只有未解决的谐波语音。记录对交替极性刺激的频率跟随反应（FFR），并分别增加或减少以增强对包络（FFRENV）或精细结构（FFRTFS）的神经反应。由FFRENV反映的F0强度的神经表征通过时域中的峰值自相关值和频谱域中F0处的峰值锁相值（PLV）来评估。这两种评估方法表明，在安静的FFRENV F0强度显着强于噪声的语音，包括未解决的谐波，但不包括语音解决谐波。在F1（F0的第4个）附近的谐波处，通过PLV评估FFRTFS所反映的颞叶精细结构的神经表征。在FFRTFS的F1（F0的第4次）附近的谐波的PLV，以解决谐波显着大于未解决的谐波。斯皮尔曼的相关性表明，未分辨谐波的FFRENV F0强度与噪声（0 dB SNR）中的音调识别性能相关。这些结果表明，具有分辨谐波的语音的FFRENV F0强度不受噪声的影响。与此相反，对语音声音的反应与未解决的谐波，这是显着较小的噪音相比，安静。我们的研究结果表明，编码解决谐波比编码包络的音调识别性能在噪声中更重要。
Accurate perception of voice pitch plays a vital role in speech understanding, especially for tonal languages such as Mandarin. Lexical tones are primarily distinguished by the fundamental frequency (F0) contour of the acoustic waveform. It has been shown that the auditory system could extract the F0 from the resolved and unresolved harmonics, and the tone identification performance of resolved harmonics was better than unresolved harmonics. To evaluate the neural response to the resolved and unresolved components of Mandarin tones in quiet and in speech-shaped noise, we recorded the frequency-following response. In this study, four types of stimuli were used: speech with either only-resolved harmonics or only-unresolved harmonics, both in quiet and in speech-shaped noise. Frequency-following responses (FFRs) were recorded to alternating-polarity stimuli and were added or subtracted to enhance the neural response to the envelope (FFRENV) or fine structure (FFRTFS), respectively. The neural representation of the F0 strength reflected by the FFRENV was evaluated by the peak autocorrelation value in the temporal domain and the peak phase-locking value (PLV) at F0 in the spectral domain. Both evaluation methods showed that the FFRENV F0 strength in quiet was significantly stronger than in noise for speech including unresolved harmonics, but not for speech including resolved harmonics. The neural representation of the temporal fine structure reflected by the FFRTFS was assessed by the PLV at the harmonic near to F1 (4th of F0). The PLV at harmonic near to F1 (4th of F0) of FFRTFS to resolved harmonics was significantly larger than to unresolved harmonics. Spearman's correlation showed that the FFRENV F0 strength to unresolved harmonics was correlated with tone identification performance in noise (0 dB SNR). These results showed that the FFRENV F0 strength to speech sounds with resolved harmonics was not affected by noise. In contrast, the response to speech sounds with unresolved harmonics, which were significantly smaller in noise compared to quiet. Our results suggest that coding resolved harmonics was more important than coding envelope for tone identification performance in noise.
登录
查看更多内容
MEG揭示的对听觉频率遵循响应的皮质贡献。
影响因子：
16.6
作者：
Coffey EB;Herholz SC;Chepesiuk AM;Baillet S;Zatorre RJ
通讯作者：
Zatorre RJ
影响因子：
2.8
作者：
Aiken, Steven J.;Picton, Terence W.
通讯作者：
Picton, Terence W.
影响因子：
5.3
作者：
Coffey, Emily B. J.;Musacchia, Gabriella;Zatorre, Robert J.
通讯作者：
Zatorre, Robert J.
影响因子：
1.6
作者：
Jeng, Fuh-Cherng;Costilow, Cassie E.;Lin, Chia-Der
通讯作者：
Lin, Chia-Der
影响因子：
5.7
作者：
Bidelman, Gavin M.
通讯作者：
Bidelman, Gavin M.