this model based on whisper-tiny model that trained with minds-14 dataset, only trained in english version : enUS
example of using model to classify intent:
>>> from transformers import pipeline
model_id = "kairaamilanii/whisper-mind14-enUS"
transcriber = pipeline(
"automatic-speech-recognition",
model=model_id,
chunk_length_s=30,
device="cuda:0" if torch.cuda.is_available() else "cpu",
)
audio_file = "/content/602b9a90963e11ccd901cbd0.wav" # Replace with your audio file path
text = transcriber(audio_file)
text
example output:
{'text': "hello i was looking at my recent transactions and i saw that there's a payment that i didn't make will you be able to stop this thank you"}
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openai/whisper-tinyDataset used to train kairaamilanii/whisper-mind14-enUS
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Evaluation results
- Accuracy on minds-14self-reported62.250
- wer on minds-14self-reported0.38%
- f1 on minds-14self-reported0.672
- bleu on minds-14self-reported0.024