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Dataset: Features of animal babbling in the vocal ontogeny of the gray mouse lemur

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/10194217
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Dataset used in the unsupervised cluster analysis of the publication "Features of animal babbling in the vocal ontogeny of the gray mouse lemur (Microcebus murinus)" Abstract In human infants babbling is an important developmental stage of vocal plasticity to acquire maternal language. To investigate parallels in the vocal development of human infants and non-human mammals, seven key features of human babbling were defined, which are up to date only shown in bats and marmosets. This study will explore whether these features can also be found in gray mouse lemurs by investigating how infant vocal streams gradually resemble the structure of the adult trill call, which is not present at birth. Using unsupervised clustering, we distinguished six syllable types, whose sequential order gradually reflected the adult trill. A subset of adult syllable types was produced by several infants, with the syllable production being rhythmic, repetitive, and independent of the social context. The temporal structure of the calling bouts and the tempo-spectral features of syllable types became adult-like at the age of weaning. The age-dependent changes in the acoustic parameters differed between syllable types, suggesting that they cannot solely be explained by physical maturation of the vocal apparatus. Since gray mouse lemurs exhibit five features of animal babbling, they show parallels to the vocal development of human infants, bats, and marmosets.   For details concerning the recording of the calling bouts confer to the publication at doi:10.1038/s41598-023-47919-7
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2024-04-23
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