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Vonernue/WhisperLiveKit-Breeze-ASR-25
WhisperLiveKit-Breeze-ASR-25 is a automatic speech recognition model from Vonernue. Use it when you need speech turned into text. The card lists the license as apache-2.0.
This repository repackages Breeze ASR 25 into a layout that works directly with WhisperLiveKit custom models and also remains usable with faster-whisper / CTranslate2.
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From the Hugging Face model README
This repository repackages Breeze ASR 25 into a layout that works directly with WhisperLiveKit custom models and also remains usable with faster-whisper / CTranslate2.
It combines:
MediaTek-Research/Breeze-ASR-25SoybeanMilk/faster-whisper-Breeze-ASR-25This is a compatibility packaging repo. It does not introduce new training or new weights.
breeze-asr-25.pt: Whisper decoder checkpoint for WhisperLiveKit SimulStreamingmodel.bin: CTranslate2 encoder/decoder weights for faster-whisperconfig.json, preprocessor_config.json, tokenizer.json, vocabulary.json: faster-whisper runtime filesPoint WhisperLiveKit to this Hugging Face repo ID or to a local snapshot of this directory.
Example:
whisperlivekit-server \
--backend simulstreaming \
--model-path YOUR_USERNAME/YOUR_REPO_NAME
If you want to set alignment heads explicitly, use WhisperLiveKit's scripts/determine_alignment_heads.py against breeze-asr-25.pt and pass the result with --custom-alignment-heads.
from faster_whisper import WhisperModel
model = WhisperModel("YOUR_USERNAME/YOUR_REPO_NAME", compute_type="float16")
segments, info = model.transcribe("audio.wav")
for segment in segments:
print(f"[{segment.start:.2f}s -> {segment.end:.2f}s] {segment.text}")
MediaTek-Research/Breeze-ASR-25SoybeanMilk/faster-whisper-Breeze-ASR-25Please credit the Breeze ASR 25 authors and cite their paper:
Paper: A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data
The faster-whisper / CTranslate2 conversion included here is based on SoybeanMilk/faster-whisper-Breeze-ASR-25 by SoybeanMilk.
If you redistribute or publish derived packaging of this repo, keep the upstream attribution to both the original Breeze ASR 25 authors and the CTranslate2 conversion author.