metadata

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.