ehcalabres commited on
Commit
ebe7999
1 Parent(s): be3f459

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -1
README.md CHANGED
@@ -13,7 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # wav2vec2-lg-xlsr-en-speech-emotion-recognition
15
 
16
- This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on an unkown dataset.
 
 
 
 
 
 
 
17
  It achieves the following results on the evaluation set:
18
  - Loss: 0.5023
19
  - Accuracy: 0.8223
 
13
 
14
  # wav2vec2-lg-xlsr-en-speech-emotion-recognition
15
 
16
+ This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) for a Speech Emotion Recognition (SER) task.
17
+
18
+ The dataset used to fine-tune the original pre-trained model is the [RAVDESS dataset](https://zenodo.org/record/1188976#.YO6yI-gzaUk). This dataset provides 1440 samples of recordings from actors performing on 8 different emotions in English, which are:
19
+
20
+ ```python
21
+ emotions = ['angry', 'calm', 'disgust', 'fearful', 'happy', 'neutral', 'sad', 'surprised']
22
+ ```
23
+
24
  It achieves the following results on the evaluation set:
25
  - Loss: 0.5023
26
  - Accuracy: 0.8223