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首页> 外文期刊>Frontiers in Psychology >Regularity Extraction from Non-Adjacent Sounds
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Regularity Extraction from Non-Adjacent Sounds

机译:从非相邻声音中提取规律性

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The regular behavior of sound sources helps us to make sense of the auditory environment. Regular patterns may, for instance, convey information on the identity of a sound source (such as the acoustic signature of a train moving on the rails). Yet typically, this signature overlaps in time with signals emitted from other sound sources. It is generally assumed that auditory regularity extraction cannot operate upon this mixture of signals because it only finds regularities between adjacent sounds. In this view, the auditory environment would be grouped into separate entities by means of readily available acoustic cues such as separation in frequency and location. Regularity extraction processes would then operate upon the resulting groups. Our new experimental evidence challenges this view. We presented two interleaved sound sequences which overlapped in frequency range and shared all acoustic parameters. The sequences only differed in their underlying regular patterns. We inserted deviants into one of the sequences to probe whether the regularity was extracted. In the first experiment, we found that these deviants elicited the mismatch negativity (MMN) component. Thus the auditory system was able to find the regularity between the non-adjacent sounds. Regularity extraction was not influenced by sequence cohesiveness as manipulated by the relative duration of tones and silent inter-tone-intervals. In the second experiment, we showed that a regularity connecting non-adjacent sounds was discovered only when the intervening sequence also contained a regular pattern, but not when the intervening sounds were randomly varying. This suggests that separate regular patterns are available to the auditory system as a cue for identifying signals coming from distinct sound sources. Thus auditory regularity extraction is not necessarily confined to a processing stage after initial sound grouping, but may precede grouping when other acoustic cues are unavailable.
机译:声源的正常行为有助于我们理解听觉环境。例如,常规模式可以传达有关声源身份的信息(例如,在铁轨上行驶的火车的声学信号)。然而通常,该签名在时间上与从其他声源发出的信号重叠。通常假定听觉规律性提取不能对这种信号混合进行操作,因为它只能找到相邻声音之间的规律性。按照这种观点,听觉环境将通过容易获得的声音提示(例如频率和位置的分离)被分组为单独的实体。然后,规律性提取过程将对生成的组进行操作。我们的新实验证据挑战了这一观点。我们提出了两个交织的声音序列,它们在频率范围内重叠并且共享所有声学参数。这些序列仅在其基本规则模式上有所不同。我们将异常变量插入序列之一,以探查是否提取了规律性。在第一个实验中,我们发现这些异常引发了失配负性(MMN)分量。因此,听觉系统能够找到非相邻声音之间的规律性。规律性提取不受音调和无声音调间隔的相对持续时间所操纵的序列凝聚力的影响。在第二个实验中,我们表明只有在插入序列也包含规则模式时才发现连接非相邻声音的规律性,而在插入声音随机变化时才发现。这表明听觉系统可以使用单独的常规模式,作为识别来自不同声音源的信号的提示。因此,听觉规律性提取不一定限于初始声音分组之后的处理阶段,而是可以在没有其他声音提示时在分组之前进行。

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