ArticlePloS one2022
Hierarchical amplitude modulation structures and rhythm patterns: Comparing Western musical genres, song, and nature sounds to Babytalk.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Individual differences in musical melody perception moderate the speech-to-song illusion in Mandarin Chinese listeners.Scientific reports · 2026Article
- Rhythm Processing Across Development: Origins, Links to Language Processing, and Perspectives for Intervention.Annals of the New York Academy of Sciences · 2026Review
- The Amplitude Modulation Structure of Japanese Infant- and Child-Directed Speech: Longitudinal Data Reveal Universal Acoustic Physical Structures That Accommodate Both Syllabic and Moraic Timing.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Expertise-Dependent Brain Network Organization During Music Perception.Human brain mapping · 2025Article
- Temporal dynamics of uncertainty and prediction error in musical improvisation across different periods.Scientific reports · 2024Article
- Amplitude modulation structure in French and German poetry: universal acoustic physical structures underpin different poetic rhythm structures.Royal Society open science · 2024Article
- Temporal dynamics of statistical learning in children's song contributes to phase entrainment and production of novel information in multiple cultures.Scientific reports · 2023Article
- Exploring cognitive individuality and the underlying creativity in statistical learning and phase entrainment.EXCLI journal · 2023Review
- Non-autistic persons modulate their speech rhythm while talking to autistic individuals.PloS one · 2023Article
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2 authors.
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Abstract
Statistical learning of physical stimulus characteristics is important for the development of cognitive systems like language and music. Rhythm patterns are a core component of both systems, and rhythm is key to language acquisition by infants. Accordingly, the physical stimulus characteristics that yield speech rhythm in "Babytalk" may also describe the hierarchical rhythmic relationships that characterize human music and song. Computational modelling of the amplitude envelope of "Babytalk" (infant-directed speech, IDS) using a demodulation approach (Spectral-Amplitude Modulation Phase Hierarchy model, S-AMPH) can describe these characteristics. S-AMPH modelling of Babytalk has shown previously that bands of amplitude modulations (AMs) at different temporal rates and their phase relations help to create its structured inherent rhythms. Additionally, S-AMPH modelling of children's nursery rhymes shows that different rhythm patterns (trochaic, iambic, dactylic) depend on the phase relations between AM bands centred on ~2 Hz and ~5 Hz. The importance of these AM phase relations was confirmed via a second demodulation approach (PAD, Probabilistic Amplitude Demodulation). Here we apply both S-AMPH and PAD to demodulate the amplitude envelopes of Western musical genres and songs. Quasi-rhythmic and non-human sounds found in nature (birdsong, rain, wind) were utilized for control analyses. We expected that the physical stimulus characteristics in human music and song from an AM perspective would match those of IDS. Given prior speech-based analyses, we also expected that AM cycles derived from the modelling may identify musical units like crotchets, quavers and demi-quavers. Both models revealed an hierarchically-nested AM modulation structure for music and song, but not nature sounds. This AM modulation structure for music and song matched IDS. Both models also generated systematic AM cycles yielding musical units like crotchets and quavers. Both music and language are created by humans and shaped by culture. Acoustic rhythm in IDS and music appears to depend on many of the same physical characteristics, facilitating learning.
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