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adding inaGVAD corpus #21

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adding inaGVAD corpus #21

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adding inaGVAD
DavidDoukhan Jun 6, 2024
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better description
DavidDoukhan Jun 6, 2024
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -41,6 +41,7 @@ There are two main types of audio datasets: speech datasets and audio event/musi
* [Flickr Audio Caption](https://groups.csail.mit.edu/sls/downloads/flickraudio/) - 40,000 spoken captions of 8,000 natural images, 4.2 GB in size.
* [GEMEP corpus](https://www.unige.ch/cisa/gemep) - 10 actors portraying 10 states; 12 emotions: amusement, anxiety, cold anger (irritation), despair, hot anger (rage), fear (panic), interest, joy (elation), pleasure(sensory), pride, relief, and sadness. Plus, 5 additional emotions: admiration, contempt, disgust, surprise, and tenderness.
* [IEMOCAP](https://sail.usc.edu/iemocap/iemocap_release.htm) - 12 hours of audiovisual data by 10 actors; 5 emotions: happiness, anger, sadness, frustration and neutral.
* [inaGVAD](https://github.com/ina-foss/InaGVAD) - a challenging French TV and Radio dataset annotated for voice activity detection (VAD) and Speaker Gender Segmentation (SGS) with evaluation scripts and detailed annotation scheme detailing non-speech event type, speaker traits and speech quality.
* [ISOLET Data Set](https://data.world/uci/isolet) - This 38.7 GB dataset helps predict which letter-name was spoken — a simple classification task.
* [JL corpus](https://www.kaggle.com/tli725/jl-corpus) - 2400 recording of 240 sentences by 4 actors (2 males and 2 females); 5 primary emotions: angry, sad, neutral, happy, excited. 5 secondary emotions: anxious, apologetic, pensive, worried, enthusiastic.
* [Keio-ESD](http://research.nii.ac.jp/src/en/Keio-ESD.html) - A set of human speech with vocal emotion spoken by a Japanese male speaker; 47 emotions including angry, joyful, disgusting, downgrading, funny, worried, gentle, relief, indignation, shameful, etc.
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