ehcalabres
commited on
Commit
•
ebe7999
1
Parent(s):
be3f459
Update README.md
Browse files
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)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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
|