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Update README and add ESD dataset
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@SuperKogito
SuperKogito authored Apr 20, 2022
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| <sub>Dataset</sub> | <sub>Year</sub> | <sub>Content</sub> | <sub>Emotions</sub> | <sub>Format</sub> | <sub>Size</sub> | <sub>Language</sub> | <sub>Paper</sub> | <sub>Access</sub> | <sub>License</sub> |
|----------------------------------------------------------------------------------------------------------------------------------------------------|-----------------|------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------|---------------------|-------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <sub>[ESD](https://hltsingapore.github.io/ESD/)</sub> | <sub>2021</sub> | <sub>29 hours, 3500 sentences, by 10 native English speakers and 10 native Chinese speakers.</sub> | <sub>5 emotions: angry, happy, neutral, sad, and surprise.</sub> | <sub>Audio, Text</sub> | <sub> 2.4 GB (zip) </sub> | <sub> English, Chinese </sub> | <sub>[Seen And Unseen Emotional Style Transfer For Voice Conversion With A New Emotional Speech Dataset](https://arxiv.org/pdf/2010.14794.pdf)</sub> | <sub>Open access</sub> | <sub>Available under an Academic License </sub> |
| <sub>[MuSe-CAR](https://zenodo.org/record/4134758)</sub> | <sub>2021</sub> | <sub>40 hours, 6,000+ recordings of 25,000+ sentences by 70+ English speakers (see db link for details).</sub> | <sub>continuous emotion dimensions characterized using valence, arousal, and trustworthiness.</sub> | <sub>Audio, Video, Text</sub> | <sub> 15 GB </sub> | <sub> English </sub> | <sub>[The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements](https://arxiv.org/pdf/2101.06053.pdf)</sub> | <sub>Restricted access</sub> | <sub>Available under an Academic License & Commercial License </sub> |
| <sub>[MSP-Podcast corpus](https://ecs.utdallas.edu/research/researchlabs/msp-lab/MSP-Podcast.html)</sub> | <sub>2020</sub> | <sub>100 hours by over 100 speakers (see db link for details).</sub> | <sub>This corpus is annotated with emotional labels using attribute-based descriptors (activation, dominance and valence) and categorical labels (anger, happiness, sadness, disgust, surprised, fear, contempt, neutral and other). </sub> | <sub>Audio</sub> | <sub> -- </sub> | <sub> -- </sub> | <sub>[The MSP-Conversation Corpus](http://www.interspeech2020.org/index.php?m=content&c=index&a=show&catid=290&id=684)</sub> | <sub>Restricted access</sub> | <sub>Available under an Academic License & Commercial License </sub> |
| <sub>[emotiontts_open_db](https://github.com/emotiontts/emotiontts_open_db)</sub> | <sub>2020</sub> | <sub>Recordings and their associated transcriptions by a diverse group of speakers.</sub> | <sub>4 emotions: general, joy, anger, and sadness.</sub> | <sub>Audio, Text</sub> | <sub>--</sub> | <sub>Korean</sub> | <sub>--</sub> | <sub>Partial open access</sub> | <sub>[CC BY-NC-SA 4.0](https://github.com/emotiontts/emotiontts_open_db/blob/master/CC-BY-NC-SA-4.0) </sub> |
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- A. Pramod Reddy and V. Vijayarajan, Extraction of Emotions from Speech-A Survey, VIT University, International Journal of Applied Engineering Research, [paper](https://www.ripublication.com/ijaer17/ijaerv12n16_46.pdf)
- Emotional Speech Databases, [document](https://link.springer.com/content/pdf/bbm%3A978-90-481-3129-7%2F1.pdf)
- Expressive Synthetic Speech, [website](http://emosamples.syntheticspeech.de/)
- Untitled, Technical university Munich, [document](https://mediatum.ub.tum.de/doc/1137841/780196.pdf)
- Towards a standard set of acoustic features for the processing of emotion in speech, Technical university Munich, [document](https://asa.scitation.org/doi/pdf/10.1121/1.4739483)


## Contribution
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