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alefiury
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wav2vec2-xls-r-300m-pt-br-spontaneous-speech-emotion-recognition

Audio Classification
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
italian-speech-corpus
english-speech-corpus
arabic-speech-corpus
spontaneous
PyTorch
Model card Files
xet
 Community
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@@ -35,7 +35,7 @@ This is the model that got first place in the SER track of the Automatic Speech
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  The following datasets were used in the training:
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- - [CORAA SER v1.0](https://github.com/rmarcacini/ser-coraa-pt-br/): a dataset composed of spontaneous portuguese speech and approximately 50 minutes of audio segments labeled in three classes: neutral, non-neutral female, and non-neutral male.
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  - [EMOVO Corpus](https://aclanthology.org/L14-1478/): a database of emotional speech for the Italian language, built from the voices of up to 6 actors who played 14 sentences simulating 6 emotional states (disgust, fear, anger, joy, surprise, sadness) plus the neutral state.
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  The following datasets were used in the training:
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+ - [CORAA SER v1.0](https://github.com/rmarcacini/ser-coraa-pt-br/): a dataset composed of spontaneous portuguese speech and approximately 40 minutes of audio segments labeled in three classes: neutral, non-neutral female, and non-neutral male.
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  - [EMOVO Corpus](https://aclanthology.org/L14-1478/): a database of emotional speech for the Italian language, built from the voices of up to 6 actors who played 14 sentences simulating 6 emotional states (disgust, fear, anger, joy, surprise, sadness) plus the neutral state.
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