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InflexionLab/VibeVoice-ASR-Kazakh
VibeVoice-ASR-Kazakh is a automatic speech recognition model from InflexionLab. Use it when you need speech turned into text. It is set up for vibevoice. The card lists the license as apache-2.0.
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…
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From the Hugging Face model README
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.
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.
Evaluated on the KSC2 Test split (9,351 samples) and farabi-lab/kazakh-stt 30K samples. Farabi-Lab dataset was not included in training.
| Dataset | WER | CER |
|---|---|---|
| ISSAI_KSC2 | ~22% | ~9.6% |
| farabi-lab/kazakh-stt | 17.6% | 4.25% |