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