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<p>Non-human primates, our closest relatives, use a wide range of complex vocal signals for communication within their species. Previous research on marmoset (<i>Callithrix jacchus</i>) vocalizations has been limited by sampling rates not covering the whole hearing range and insufficient labeling for advanced analyses using Deep Neural Networks (DNNs). Here, we provide a database of common marmoset vocalizations, which were continuously recorded with a sampling rate of 96 kHz from an animal holding facility housing simultaneously ~20 marmosets in three cages. The dataset comprises more than 800,000 files, amounting to 253 hours of data collected over 40 months. Each recording lasts a few seconds and captures the marmosets’ social vocalizations, encompassing their entire known vocal repertoire during the experimental period. Around 215,000 calls are annotated with the vocalization type. We offer a trained classifier to assist future investigations. Finally, we validated our dataset by sampling 700 representative recordings and cross-examining them with four experts.</p>

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A large annotated dataset of vocalizations by common marmosets

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月13日

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  • Charly Lamothe,
  • Manon Obliger-Debouche,
  • Paul Best,
  • Régis Trapeau,
  • Sabrina Ravel,
  • Thierry Artières,
  • Ricard Marxer,
  • Pascal Belin

摘要

Non-human primates, our closest relatives, use a wide range of complex vocal signals for communication within their species. Previous research on marmoset (Callithrix jacchus) vocalizations has been limited by sampling rates not covering the whole hearing range and insufficient labeling for advanced analyses using Deep Neural Networks (DNNs). Here, we provide a database of common marmoset vocalizations, which were continuously recorded with a sampling rate of 96 kHz from an animal holding facility housing simultaneously ~20 marmosets in three cages. The dataset comprises more than 800,000 files, amounting to 253 hours of data collected over 40 months. Each recording lasts a few seconds and captures the marmosets’ social vocalizations, encompassing their entire known vocal repertoire during the experimental period. Around 215,000 calls are annotated with the vocalization type. We offer a trained classifier to assist future investigations. Finally, we validated our dataset by sampling 700 representative recordings and cross-examining them with four experts.