🎓 New Uzbekistan University — for knowledge, research environment, and academic direction
🏦 Xalq Banki AI Lab — for providing GPU resources and supporting the technical direction of the project

📊 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

🧪 Inference Example

python

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]

Quyashbek/whisper-medium-karakalpak

🎙️ Whisper Medium Karakalpak ASR

👤 Founder

🤝 Acknowledgements

📊 Model Performance

Test Details

🧪 Inference Example

Quyashbek/
whisper-medium-karakalpak