🎙️ Whisper Base Karakalpak ASR

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

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👤 Founder

Quyashbek Allanazarov

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🤝 Acknowledgements

• 🎓 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

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📊 Model Performance

Evaluation was performed on a held-out test set.

Test Details

• Total samples: 504
• Sampling rate: 16 kHz
• Task: Transcribe

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🧪 Inference Example

import torch
from transformers import WhisperForConditionalGeneration, WhisperProcessor

model_id = "Quyashbek/whisper-base-karakalpak"
processor = WhisperProcessor.from_pretrained(model_id)
model = WhisperForConditionalGeneration.from_pretrained(model_id)

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