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Neural mechanisms of phonetic categorization analyzed based on MMF elicited by acoustic and phonemic variations

机译：基于声学和音素变化引起的MMF分析了语音分类的神经机制

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Humans have a superior capability to categorize phonetic sounds against non-linguistic speaker-dependent acoustic variations. Neural mechanisms for such a stable phonetic categorization were analyzed based on the mismatch magnetic fields (MMFs) measurements elicited by acoustic and phonemic variations. The MMFs were analyzed comparing within-category (WC) versus across-category (AC) variations under multi-speaker (MS) or single-speaker (SS) conditions. With SS, the equivalent current dipole (ECDs) moments of MMF elicited by AC were significantly larger than those by WC in the left hemisphere (LH), and ECDs by WC were significantly larger than those by AC in the right hemisphere (RH). With MS, ECDs by AC were larger than those by WC in the LH. In the RH, however, ECDs by AC were the same as those by WC. These results suggest that the MMF of the LH reflects phonetic categorization as well as detection of acoustic variations, while that of the RH reflects mainly the latter.
机译：人类具有卓越的能力，对非语言扬声器依赖的声学变化进行分类语音声音。基于由声学和音素变化引发的失配磁场（MMF）测量来分析这种稳定语音分类的神经机制。分析MMFS在多扬声器（MS）或单扬声器（SS）条件下的类别（WC）与类别（AC）变化中进行了分析。对于SS，AC引发的MMF的等效电流偶极子（ECD）矩明显大于左半球（LH）中的WC，并且WC的ECDS明显大于右半球（RH）中AC的ECD。通过MS，AC的ECDS比LH中的WC更大。然而，在RH中，AC的ECDS与WC的ECDS相同。这些结果表明LH的MMF反映了语音分类以及声学变化的检测，而RH的检测主要是后者反映。

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