from transformers import pipeline

# Load the model
asr = pipeline(
    "automatic-speech-recognition",
    model="northtechai/northstt-stageb-300",
    generate_kwargs={
        "condition_on_prev_tokens": True,
        "no_repeat_ngram_size": 2,
        "temperature": 0.0,
        "do_sample": False,
        "language": "tr",
    }
)

# Transcribe audio
result = asr("path/to/audio.wav")
print(result["text"])

Training Data

Training data information not provided.

Performance

This model has been fine-tuned for improved performance on Turkish speech recognition tasks.

Limitations

Optimized for Turkish language
Performance may vary on other languages
Requires appropriate audio preprocessing (16kHz sample rate)

Citation

If you use this model, please cite the original Whisper paper:

bibtex

@misc{radford2022robust,
  title={Robust Speech Recognition via Large-Scale Weak Supervision},
  author={Radford, Alec and Kim, Jong Wook and Xu, Tao and Brockman, Greg and McLeavey, Christine and Sutskever, Ilya},
  year={2022},
  eprint={2212.04356},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}