VibeVoice ASR — Kazakh

Model Description

This is VibeVoice ASR fine-tuned on the Kazakh language using the ISSAI KSC2 Structured dataset (~1,200 hours of diverse Kazakh speech). Fine-tuning was performed using LoRA (Low-Rank Adaptation) and the weights were merged into the base model for efficient inference. Model demonstrated 22% WER on test set of ISSAI KSC2.

The base VibeVoice ASR model had no prior Kazakh knowledge. This fine-tuned version produces punctuated and capitalized Kazakh transcriptions.

Training Dataset

InflexionLab/ISSAI-KSC2-Structured — an enhanced version of the ISSAI KSC2 corpus with punctuation and capitalization restored using Gemma 27B. Covers 6 domains: TV News, Crowdsourced, Parliament, Talkshow, Podcasts, and Radio.

Evaluation Results

Evaluated on the KSC2 Test split (9,351 samples) and farabi-lab/kazakh-stt 30K samples. Farabi-Lab dataset was not included in training.