metadata
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. Code for training can be found here.
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.