metadata
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
from transformers import pipeline
pipe = pipeline("audio-classification", model="shhossain/whisper-tiny-bn-emo")
pipe("audio_file.wav")