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README.md
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<!-- Provide a quick summary of what the model is/does. -->
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This model
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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<!-- Provide a quick summary of what the model is/does. -->
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This model extracts emotions from audio recordings. It was trained on RAVDESS, a dataset containing English audio recordings. The model recognises six emotions: anger, disgust, fear, happiness, sadness and surprise.
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The model recreates the work of this [Greek emotion extractor](https://huggingface.co/m3hrdadfi/wav2vec2-xlsr-greek-speech-emotion-recognition/blob/main/README.md) using a pre-trained [Wav2Vec2](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) model to process the data.
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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- **Adapter from:** [Emotion Recognition in Greek](https://huggingface.co/m3hrdadfi/wav2vec2-xlsr-greek-speech-emotion-recognition/blob/main/README.md)
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- **Model type:** NN with CTC
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- **Language(s) (NLP):** English
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- **Finetuned from model [optional]:** [wav2vec2](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english)
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### Model Sources [optional]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## How to Get Started with the Model
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Use the code below to get started with the model.
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