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首页> 外文期刊>Journal of the Royal Society Interface >Hierarchical temporal structure in music, speech and animal vocalizations: jazz is like a conversation, humpbacks sing like hermit thrushes
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Hierarchical temporal structure in music, speech and animal vocalizations: jazz is like a conversation, humpbacks sing like hermit thrushes

机译:音乐,言语和动物发声中的分层时间结构:爵士乐就像一场谈话,驼背就像隐士鹅口疮一样唱歌

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Humans talk, sing and play music. Some species of birds and whales sing long and complex songs. All these behaviours and sounds exhibit hierarchical structure-syllables and notes are positioned within words and musical phrases, words and motives in sentences and musical phrases, and so on. We developed a new method to measure and compare hierarchical temporal structures in speech, song and music. The method identifies temporal events as peaks in the sound amplitude envelope, and quantifies event clustering across a range of timescales using Allan factor (AF) variance. AF variances were analysed and compared for over 200 different recordings from more than 16 different categories of signals, including recordings of speech in different contexts and languages, musical compositions and performances from different genres. Non-human vocalizations from two bird species and two types of marine mammals were also analysed for comparison. The resulting patterns of AF variance across timescales were distinct to each of four natural categories of complex sound: speech, popular music, classical music and complex animal vocalizations. Comparisons within and across categories indicated that nested clustering in longer timescales was more prominent when prosodic variation was greater, and when sounds came from interactions among individuals, including interactions between speakers, musicians, and even killer whales. Nested clustering also was more prominent for music compared with speech, and reflected beat structure for popular music and self-similarity across timescales for classical music. In summary, hierarchical temporal structures reflect the behavioural and social processes underlying complex vocalizations and musical performances.
机译:人类谈话,唱歌和播放音乐。一些鸟类和鲸鱼唱着悠久而复杂的歌曲。所有这些行为和声音都展示了层次结构 - 音节和笔记位于句子和音乐短语的单词和音乐短语,单词和动机中,等等。我们开发了一种测量和比较语音,歌曲和音乐中的分层时间结构的新方法。该方法将时间事件识别为声音幅度包络中的峰值,并使用Allan因子(AF)方差在一系列时间尺度上量化事件群集。分析了AF差异,并将其与来自超过16个不同类别的信号的200多种不同的录音,包括不同背景和语言的语言,音乐组成和来自不同类型的语言的录音。还分析了来自两只鸟类和两种类型的海洋哺乳动物的非人发作,以进行比较。跨越时间尺度的AF方差模式与四个自然类别的复杂声音中的每一个都不同:语音,流行音乐,古典音乐和复杂的动物发声。在韵律变异更大时,较长时间表中嵌套聚类的比较表明嵌套聚类更加突出,并且当声音来自个人之间的互动时,包括发言者,音乐家,甚至杀手鲸之间的互动。与语音相比,嵌套聚类也更加突出,并反映了对古典音乐的流行音乐和自我相似性的击败结构。总之,分层时间结构反映了复杂发声和音乐表演的行为和社会过程。

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