Temporal Coding of Voice Pitch Contours in Mandarin Tones.
Temporal Coding of Voice Pitch Contours in Mandarin Tones.
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普通话声调轮廓的时间编码
DOI：
10.3389/fncir.2018.00055
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发表时间：
2018
影响因子：
3.5
通讯作者：
Hou W
中科院分区：
文献类型：
--
作者：
Peng F;Innes-Brown H;McKay CM;Fallon JB;Zhou Y;Wang X;Hu N;Hou W
准确感知时变音高对于语音识别非常重要，特别是对于具有不同词汇音调的声调语言，如普通话，不同的音调传达不同的语义信息。已有研究报道听神经和耳蜗核可以通过锁相神经活动编码不同的音高。然而，人们对下丘如何编码自然语音的时变周期性音高知之甚少。在本研究中，使用普通话音节/ba/的四种词汇音调（平、升、降、升、降）作为刺激。同时记录了6只脲麻醉豚鼠对4种刺激的局部场电位（LFPs）和单个神经元活动。对LFPs的时间信息分析表明，93%的LFPs具有对周期性音高的鲁棒性编码。从自相关图中得出的lfp的音高强度显著（p < 0.001）高于上升音调和下降音调。随着特征频率（CF）的增加，沥青强度也显著增加（p < 0.05）。另一方面，只有47%（42或90）的单个神经元活动与刺激的基频显著同步，这表明单个IC神经元的时间尖峰模式可以对语音的时变周期性音高进行稳健编码。lfp和编码时变F0音高的单个神经元数量之间的差异，支持了在IC水平上从单个神经元尖峰序列的直接时间编码到其他形式的神经表征的过渡概念。
Accurate perception of time-variant pitch is important for speech recognition, particularly for tonal languages with different lexical tones such as Mandarin, in which different tones convey different semantic information. Previous studies reported that the auditory nerve and cochlear nucleus can encode different pitches through phase-locked neural activities. However, little is known about how the inferior colliculus (IC) encodes the time-variant periodicity pitch of natural speech. In this study, the Mandarin syllable /ba/ pronounced with four lexical tones (flat, rising, falling then rising and falling) were used as stimuli. Local field potentials (LFPs) and single neuron activity were simultaneously recorded from 90 sites within contralateral IC of six urethane-anesthetized and decerebrate guinea pigs in response to the four stimuli. Analysis of the temporal information of LFPs showed that 93% of the LFPs exhibited robust encoding of periodicity pitch. Pitch strength of LFPs derived from the autocorrelogram was significantly (p < 0.001) stronger for rising tones than flat and falling tones. Pitch strength are also significantly increased (p < 0.05) with the characteristic frequency (CF). On the other hand, only 47% (42 or 90) of single neuron activities were significantly synchronized to the fundamental frequency of the stimulus suggesting that the temporal spiking pattern of single IC neuron could encode the time variant periodicity pitch of speech robustly. The difference between the number of LFPs and single neurons that encode the time-variant F0 voice pitch supports the notion of a transition at the level of IC from direct temporal coding in the spike trains of individual neurons to other form of neural representation.
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