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README.md
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name: wav2vec2-lg-xlsr-en-speech-emotion-recognition
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Speech Emotion Recognition By Fine-Tuning Wav2Vec 2.0
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__Important:__ This model it's not yet implementable due to missing built-in functions in HuggingFace for speech classification tasks. I'm working on the instructions of how to use it and a repository where the code will be available soon. Thank you anyway!
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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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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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name: wav2vec2-lg-xlsr-en-speech-emotion-recognition
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# Speech Emotion Recognition By Fine-Tuning Wav2Vec 2.0
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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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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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