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---
language: el
datasets:
- aesdd
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
- speech-emotion-recognition
license: apache-2.0
---
# Emotion Recognition in Greek (el) Speech using Wav2Vec 2.0
## How to use
soon ...
## Evaluation
The following tables summarize the scores obtained by model overall and per each class.
| Emotions | precision | recall | f1-score | accuracy |
|:---------: |:---------: |:------: |:--------: |:--------: |
| anger | 0.92 | 1.00 | 0.96 | - |
| disgust | 0.85 | 0.96 | 0.90 | - |
| fear | 0.88 | 0.88 | 0.88 | - |
| happiness | 0.94 | 0.71 | 0.81 | - |
| sadness | 0.96 | 1.00 | 0.98 | - |
| - | - | - | - | 91% |
## Questions?
Post a Github issue from [HERE](https://github.com/m3hrdadfi/wav2vec/issues).