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Add Quechua-SER corpus
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@SuperKogito
SuperKogito authored Jun 3, 2024
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3 changes: 2 additions & 1 deletion README.md
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***Spoken Emotion Recognition Datasets:*** *A collection of datasets (count=43) for the purpose of emotion recognition/detection in speech.
***Spoken Emotion Recognition Datasets:*** *A collection of datasets (count=44) 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.
The table can be browsed, sorted and searched under https://superkogito.github.io/SER-datasets/*
| Dataset | Year | Content | Emotions | Format | Size | Language | Paper | Access | License |
|:--------------------------------------------------------------------------------------------------------------------------------------------------|:----------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------|:------------------------|:------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------|:------------------------------------------------------------------------------------------------------------------------------------------|
| <sub>[Quechua-SER](https://figshare.com/articles/media/Quechua_Collao_for_Speech_Emotion_Recognition/20292516)</sub> | <sub>2022</sub> | <sub>12420 audio recordings (~15 hours) and their transcriptions by 7 native speakers.</sub> | <sub>Emotional labels using dimensions: valence, arousal, and dominance.</sub> | <sub>Audio</sub> | <sub>3.53 GB</sub> | <sub>Quechua Collao</sub> | <sub>[A speech corpus of Quechua Collao for automatic dimensional emotion recognition](https://www.nature.com/articles/s41597-022-01855-9)</sub> | <sub>Open</sub> | <sub>[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)</sub> |
| <sub>[MESD](https://data.mendeley.com/datasets/cy34mh68j9/5)</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>0,097 GB</sub> | <sub>Spanish (Mexican)</sub> | <sub>[The Mexican Emotional Speech Database (MESD): elaboration and assessment based on machine learning](https://pubmed.ncbi.nlm.nih.gov/34891601/)</sub> | <sub>Open</sub> | <sub>[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)</sub> |
| <sub>[SyntAct](https://zenodo.org/record/6573016#.ZAjy_9LMJpj)</sub> | <sub>2022</sub> | <sub>Synthesized database of three basic emotions and neutral expression based on rule-based manipulation for a diphone synthesizer which we release to the public </sub> | <sub>997 utterances including 6 emotions: angry, bored, happy, neutral, sad and scared</sub> | <sub>Audio</sub> | <sub>941 MB</sub> | <sub>German</sub> | <sub>[SyntAct: A Synthesized Database of Basic Emotions](http://felix.syntheticspeech.de/publications/synthetic_database.pdf)</sub> | <sub>Open</sub> | <sub>[CC BY-SA 4.0](https://creativecommons.org/licenses/by/4.0)</sub> |
| <sub>[MLEnd](https://www.kaggle.com/datasets/jesusrequena/mlend-spoken-numerals)</sub> | <sub>2021</sub> | <sub>~32700 audio recordings files produced by 154 speakers. Each audio recording corresponds to one English numeral (from "zero" to "billion")</sub> | <sub>Intonations: neutral, bored, excited and question</sub> | <sub>Audio</sub> | <sub>2.27 GB</sub> | <sub>--</sub> | <sub>--</sub> | <sub>Open</sub> | <sub>Unknown</sub> |
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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
`Quechua-SER <https://figshare.com/articles/media/Quechua_Collao_for_Speech_Emotion_Recognition/20292516>`_,2022,12420 audio recordings (~15 hours) and their transcriptions by 7 native speakers.,"Emotional labels using dimensions: valence, arousal, and dominance.",Audio,3.53 GB,Quechua Collao,`A speech corpus of Quechua Collao for automatic dimensional emotion recognition <https://www.nature.com/articles/s41597-022-01855-9>`_,Open,`CC BY 4.0 <https://creativecommons.org/licenses/by/4.0/>`_
`MESD <https://data.mendeley.com/datasets/cy34mh68j9/5>`_,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,"0,097 GB",Spanish (Mexican),`The Mexican Emotional Speech Database (MESD): elaboration and assessment based on machine learning <https://pubmed.ncbi.nlm.nih.gov/34891601/>`_,Open,`CC BY 4.0 <https://creativecommons.org/licenses/by/4.0/>`_
`SyntAct <https://zenodo.org/record/6573016#.ZAjy_9LMJpj>`_,2022,Synthesized database of three basic emotions and neutral expression based on rule-based manipulation for a diphone synthesizer which we release to the public ,"997 utterances including 6 emotions: angry, bored, happy, neutral, sad and scared",Audio,941 MB,German,`SyntAct: A Synthesized Database of Basic Emotions <http://felix.syntheticspeech.de/publications/synthetic_database.pdf>`_,Open,`CC BY-SA 4.0 <https://creativecommons.org/licenses/by/4.0>`_
`MLEnd <https://www.kaggle.com/datasets/jesusrequena/mlend-spoken-numerals>`_,2021,"~32700 audio recordings files produced by 154 speakers. Each audio recording corresponds to one English numeral (from ""zero"" to ""billion"")","Intonations: neutral, bored, excited and question",Audio,2.27 GB,--,--,Open,Unknown
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14 changes: 14 additions & 0 deletions src/ser-datasets.json
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{
"Quechua-SER": {
"Year": 2022,
"Content": "12420 audio recordings (~15 hours) and their transcriptions by 7 native speakers.",
"Emotions": "Emotional labels using dimensions: valence, arousal, and dominance.",
"Format": "Audio",
"Size": "3.53 GB",
"Language": "Quechua Collao",
"Paper": "A speech corpus of Quechua Collao for automatic dimensional emotion recognition",
"Access": "Open",
"License": "CC BY 4.0",
"Dataset-link": "https://figshare.com/articles/media/Quechua_Collao_for_Speech_Emotion_Recognition/20292516",
"Paper-link": "https://www.nature.com/articles/s41597-022-01855-9",
"License-link": "https://creativecommons.org/licenses/by/4.0/"
},
"MESD": {
"Year": 2022,
"Content": "864 audio files of single-word emotional utterances with Mexican cultural shaping.",
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