πŸŽ™οΈ Whisper Medium Karakalpak ASR

This model is a fine-tuned version of openai/whisper-medium for Automatic Speech Recognition (ASR) in the Karakalpak language.


πŸ‘€ Founder

Quyashbek Allanazarov


🀝 Acknowledgements

  • πŸŽ“ New Uzbekistan University β€” for knowledge, research environment, and academic direction
  • 🏦 Xalq Banki AI Lab β€” for providing GPU resources and supporting the technical direction of the project

πŸ“Š Model Performance

Evaluation was performed on a held-out test set.

Metric Score
WER (Word Error Rate) 17.63%
CER (Character Error Rate) 3.82%

Test Details

  • Total samples: 504
  • Sampling rate: 16 kHz
  • Model size: Medium

πŸ§ͺ Inference Example

import torch
from transformers import WhisperForConditionalGeneration, WhisperProcessor

model_id = "your-username/whisper-medium-karakalpak"
processor = WhisperProcessor.from_pretrained(model_id)
model = WhisperForConditionalGeneration.from_pretrained(model_id)

# inputs = processor(audio, sampling_rate=16000, return_tensors="pt")
# generated_ids = model.generate(inputs.input_features)
# transcription = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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