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--- |
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language: |
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- bn |
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metrics: |
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- accuracy |
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pipeline_tag: audio-classification |
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tags: |
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- audio-classification |
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- emotion-classification |
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- sentiment-classification |
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--- |
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# whisper-tiny-bn-emo |
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This model is a fine-tuned on shhossain/whisper-tiny-bn for emotion classification. It achieves the following results on the evaluation set: |
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- Loss: 0.1842 |
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- Accuracy: 0.9357 |
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## Model Info |
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It detects 7 basic human emotions on `Bengali Language`. |
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- `ANGRY` |
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- `DISGUST` |
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- `FEAR` |
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- `HAPPY` |
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- `NEUTRAL` |
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- `SAD` |
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- `SURPRISE` |
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## Usage |
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```python |
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from transformers import pipeline |
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pipe = pipeline("audio-classification", model="shhossain/whisper-tiny-bn-emo") |
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pipe("audio_file.wav") |
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``` |
