A large annotated dataset of vocalizations by common marmosets
Abstract 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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04951-8 |
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| author | Charly Lamothe Manon Obliger-Debouche Paul Best Régis Trapeau Sabrina Ravel Thierry Artières Ricard Marxer Pascal Belin |
| author_facet | Charly Lamothe Manon Obliger-Debouche Paul Best Régis Trapeau Sabrina Ravel Thierry Artières Ricard Marxer Pascal Belin |
| author_sort | Charly Lamothe |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-4cb2602fd9da44e8b7c5a5c4f62dacc7 |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-4cb2602fd9da44e8b7c5a5c4f62dacc72025-08-20T02:32:05ZengNature PortfolioScientific Data2052-44632025-05-011211910.1038/s41597-025-04951-8A large annotated dataset of vocalizations by common marmosetsCharly Lamothe0Manon Obliger-Debouche1Paul Best2Régis Trapeau3Sabrina Ravel4Thierry Artières5Ricard Marxer6Pascal Belin7La Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille UniversityLa Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille UniversityLaboratoire d’Informatique et Systèmes UMR 7020, CNRS, Aix-Marseille UniversityLa Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille UniversityLa Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille UniversityLaboratoire d’Informatique et Systèmes UMR 7020, CNRS, Aix-Marseille UniversityLaboratoire d’Informatique et Systèmes UMR 7020, CNRS, Aix-Marseille UniversityLa Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille UniversityAbstract 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.https://doi.org/10.1038/s41597-025-04951-8 |
| spellingShingle | Charly Lamothe Manon Obliger-Debouche Paul Best Régis Trapeau Sabrina Ravel Thierry Artières Ricard Marxer Pascal Belin A large annotated dataset of vocalizations by common marmosets Scientific Data |
| title | A large annotated dataset of vocalizations by common marmosets |
| title_full | A large annotated dataset of vocalizations by common marmosets |
| title_fullStr | A large annotated dataset of vocalizations by common marmosets |
| title_full_unstemmed | A large annotated dataset of vocalizations by common marmosets |
| title_short | A large annotated dataset of vocalizations by common marmosets |
| title_sort | large annotated dataset of vocalizations by common marmosets |
| url | https://doi.org/10.1038/s41597-025-04951-8 |
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