Create README.md
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README.md
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---
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language:
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- de
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license: apache-2.0
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tags:
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- voice
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- classification
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- emotion
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- speech
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- audio
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datasets:
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- emo-DB
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widget:
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- src: >-
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https://huggingface.co/padmalcom/av2vec2-large-emotion-detection-german/resolve/main/test.wav
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example_title: Sample 1
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pipeline_tag: audio-classification
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metrics:
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- accuracy
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---
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This wav2vec2 based emotion detection model is trained on the [emo-DB dataset](http://emodb.bilderbar.info/start.html).
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Emotion classes are:
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- 0: 'anger'
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- 1: 'boredom'
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- 2: 'disgust'
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- 3: 'fear'
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- 4: 'happiness'
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- 5: 'sadness'
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- 6: 'neutral'
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*inference.py* shows, how the model can be used.
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