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Browse files- VIVAE/0001.tar +3 -0
- VIVAE/0002.tar +3 -0
- VIVAE/0003.tar +3 -0
- VIVAE/0004.tar +3 -0
- VIVAE/info.md +32 -0
VIVAE/0001.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc0ef6de8f2bcd3fc7466d00e03c19ed1524088b161b526ef0d4d7b9e99e2119
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size 23418880
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VIVAE/0002.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:5777b23c8a1b5536983dcc7abe3f14956fe0b955a8a2cfe87cda3207b7d9c27f
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size 21862400
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VIVAE/0003.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ce3577789599ac4bc36bccc9a125c17a2a10d6c419049a20dd195bff1bb3870
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size 21043200
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VIVAE/0004.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8401defe6d5efa33ba3b36c6e566d5414eb92d4d2874f26bc988ece38633fe1
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size 3758080
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VIVAE/info.md
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# VIVAE Dataset
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**Source:** https://zenodo.org/record/4066235
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**License:** CC BY 4.0
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**Description:** VIVAE (Variably Intense Vocalizations of Affect and Emotion) is a dataset of human non-speech vocalizations expressing emotions at different intensity levels. The dataset contains recordings from 10 speakers expressing 6 different emotions at 4 intensity levels.
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**Emotions:**
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- achievement
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- anger
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- fear
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- pain
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- pleasure
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- surprise
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**Intensity Levels:**
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- low
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- moderate
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- strong
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- peak
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**Subsets:**
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- core_set: Curated subset of high-quality recordings
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- full_set: Complete set of all recordings
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**Format:** FLAC 48kHz 16-bit mono
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**Total samples:** 1565
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**Total tar files:** 4
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**Reference:** Holz, N., Larrouy-Maestri, P., & Poeppel, D. (2020). VIVAE: Vienna International Visual-Auditory Emotion corpus. Zenodo.
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