---
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).