File size: 664 Bytes
5666dd6 eebe5ae f1a8667 5666dd6 55bdcce 5666dd6 eda9996 5666dd6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
---
language:
- bn
metrics:
- accuracy
pipeline_tag: audio-classification
tags:
- audio-classification
- emotion-classification
- sentiment-classification
---
# whisper-tiny-bn-emo
This model is a fine-tuned on shhossain/whisper-tiny-bn for emotion classification. It achieves the following results on the evaluation set:
- Loss: 0.1842
- Accuracy: 0.9357
## Model Info
It detects 7 basic human emotions on `Bengali Language`.
- `ANGRY`
- `DISGUST`
- `FEAR`
- `HAPPY`
- `NEUTRAL`
- `SAD`
- `SURPRISE`
## Usage
```python
from transformers import pipeline
pipe = pipeline("audio-classification", model="shhossain/whisper-tiny-bn-emo")
pipe("audio_file.wav")
``` |