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README.md
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# wav2vec2-lg-xlsr-en-speech-emotion-recognition
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english)
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It achieves the following results on the evaluation set:
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- Loss: 0.5023
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- Accuracy: 0.8223
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# wav2vec2-lg-xlsr-en-speech-emotion-recognition
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This 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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The dataset used to fine-tune the original pre-trained model is the [RAVDESS dataset](https://zenodo.org/record/1188976#.YO6yI-gzaUk). This dataset provides 1440 samples of recordings from actors performing on 8 different emotions in English, which are:
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```python
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emotions = ['angry', 'calm', 'disgust', 'fearful', 'happy', 'neutral', 'sad', 'surprised']
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```
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It achieves the following results on the evaluation set:
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- Loss: 0.5023
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- Accuracy: 0.8223
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