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Merge pull request #8 from SuperKogito/add-MESD-dataset
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Add mesd dataset
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SuperKogito authored Jun 12, 2022
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5 changes: 4 additions & 1 deletion README.md
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***Spoken Emotion Recognition Datasets:*** *A collection of datasets (count=39) for the purpose of emotion recognition/detection in speech.
***Spoken Emotion Recognition Datasets:*** *A collection of datasets (count=40) for the purpose of emotion recognition/detection in speech.
The table is chronologically ordered and includes a description of the content of each dataset along with the emotions included.*

| <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>[MESD]</sub> | <sub>2022</sub> | <sub>864 audio files of single-word emotional utterances with Mexican cultural shaping.</sub> | <sub>6 emotions provides single-word utterances for anger, disgust, fear, happiness, neutral, and sadness.</sub> | <sub>Audio</sub> | <sub>86 MB</sub> | <sub>Spanish (Mexican)</sub> | <sub>[The Mexican Emotional Speech Database (MESD): elaboration and assessment based on machine learning]</sub> | <sub>Open</sub> | <sub>[CC BY 4.0]</sub> |
|<sub>[ASVP-ESD]</sub> | <sub>2021</sub> | <sub>~13285 audio files collected from movies, tv shows and youtube containing speech and non-speech.</sub> | <sub>12 different natural emotions (boredom, neutral, happiness, sadness, anger, fear, surprise, disgust, excitement, pleasure, pain, disappointment) with 2 levels of intensity. </sub> | <sub>Audio</sub> | <sub> 2 GB </sub> | <sub>Chinese, English, French, Russian and others<sub> | <sub>--<sub> | <sub> Open access<sub> | <sub>Unknown</sub> |
| <sub>[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]</sub> | <sub>Open access</sub> | <sub>Available under an Academic License </sub> |
| <sub>[MuSe-CAR]</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]</sub> | <sub>Restricted access</sub> | <sub>Available under an Academic License & Commercial License </sub> |
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[//]: # (datasets)

[MESD]: https://data.mendeley.com/datasets/cy34mh68j9/5
[ASVP-ESD]: https://www.kaggle.com/datasets/dejolilandry/asvpesdspeech-nonspeech-emotional-utterances
[ESD]: https://hltsingapore.github.io/ESD/
[MuSe-CAR]: https://zenodo.org/record/4134758
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[//]: # (papers)

[The Mexican Emotional Speech Database (MESD): elaboration and assessment based on machine learning]: https://pubmed.ncbi.nlm.nih.gov/34891601/
[Seen And Unseen Emotional Style Transfer For Voice Conversion With A New Emotional Speech Dataset]: https://arxiv.org/pdf/2010.14794.pdf
[The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements]: https://arxiv.org/pdf/2101.06053.pdf
[The MSP-Conversation Corpus]: http://www.interspeech2020.org/index.php?m=content&c=index&a=show&catid=290&id=684
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2 changes: 2 additions & 0 deletions src/index.rst
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.. datasets
.. _`MESD`: https://data.mendeley.com/datasets/cy34mh68j9/5
.. _`ASVP-ESD`: https://www.kaggle.com/datasets/dejolilandry/asvpesdspeech-nonspeech-emotional-utterances
.. _`ESD`: https://hltsingapore.github.io/ESD/
.. _`MuSe-CAR`: https://zenodo.org/record/4134758
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.. papers
.. _`The Mexican Emotional Speech Database (MESD): elaboration and assessment based on machine learning`: https://pubmed.ncbi.nlm.nih.gov/34891601/
.. _`Seen And Unseen Emotional Style Transfer For Voice Conversion With A New Emotional Speech Dataset`: https://arxiv.org/pdf/2010.14794.pdf
.. _`The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements`: https://arxiv.org/pdf/2101.06053.pdf
.. _`The MSP-Conversation Corpus`: http://www.interspeech2020.org/index.php?m=content&c=index&a=show&catid=290&id=684
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1 change: 1 addition & 0 deletions src/ser-datasets.csv
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"Dataset","Year","Content","Emotions","Format","Size","Language","Paper","Access","License"
"`MESD`_","2022","864 audio files of single-word emotional utterances with Mexican cultural shaping.","6 emotions provides single-word utterances for anger, disgust, fear, happiness, neutral, and sadness.","Audio","86 MB","Spanish (Mexican)","`The Mexican Emotional Speech Database (MESD): elaboration and assessment based on machine learning`_","Open","`CC BY 4.0`_"
"`ASVP-ESD`_","2021","~13285 audio files collected from movies, tv shows and youtube containing speech and non-speech.","12 different natural emotions (boredom, neutral, happiness, sadness, anger, fear, surprise, disgust, excitement, pleasure, pain, disappointment) with 2 levels of intensity.","Audio","2 GB","Chinese, English, French, Russian and others","--","Open","Unknown"
"`ESD`_","2021","29 hours, 3500 sentences, by 10 native English speakers and 10 native Chinese speakers.","5 emotions: angry, happy, neutral, sad, and surprise.","Audio, Text","2.4 GB (zip)","English, Chinese","`Seen And Unseen Emotional Style Transfer For Voice Conversion With A New Emotional Speech Dataset`_","Open","Academic License"
"`MuSe-CAR`_","2021","40 hours, 6,000+ recordings of 25,000+ sentences by 70+ English speakers (see db link for details).","continuous emotion dimensions characterized using valence, arousal, and trustworthiness.","Audio, Video, Text","15 GB","English","`The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements`_","Restricted","Academic License & Commercial License"
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