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  The model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) for a Speech Emotion Recognition (SER) task.
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  Several datasets were used the fine-tune the original model:
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- - Surrey Audio-Visual Expressed Emotion (SAVEE) (http://kahlan.eps.surrey.ac.uk/savee/Database.html) - 480 audio files from 4 male actors
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- - Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) (https://zenodo.org/record/1188976) - 1440 audio files from 24 professional actors (12 female, 12 male)
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- - Toronto emotional speech set (TESS) (https://tspace.library.utoronto.ca/handle/1807/24487) - 2800 audio files from 2 female actors
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  7 labels/emotions were used as classification labels
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  ```python
 
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  The model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) for a Speech Emotion Recognition (SER) task.
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  Several datasets were used the fine-tune the original model:
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+ - Surrey Audio-Visual Expressed Emotion [(SAVEE)](http://kahlan.eps.surrey.ac.uk/savee/Database.html) - 480 audio files from 4 male actors
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+ - Ryerson Audio-Visual Database of Emotional Speech and Song [(RAVDESS)](https://zenodo.org/record/1188976) - 1440 audio files from 24 professional actors (12 female, 12 male)
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+ - Toronto emotional speech set [(TESS)](https://tspace.library.utoronto.ca/handle/1807/24487) - 2800 audio files from 2 female actors
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  7 labels/emotions were used as classification labels
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  ```python