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reazonspeech-k2-v2
0x3/reazonspeech-k2-v2
reazonspeech-k2-v2 is a automatic speech recognition model from 0x3. Use it when you need speech turned into text. The card lists the license as apache-2.0.
reazonspeech-k2-v2 is an automatic speech recognition (ASR) model trained on ReazonSpeech v2.0 corpus.
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Public
Updated Apr 30, 2026
Repo size
775 MB
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At a glance
- Task
- Automatic Speech Recognition
- License
- apache-2.0
- Access
- Public
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026
- SHA
- 3510c098
Model card
From the Hugging Face model README
reazonspeech-k2-v2
reazonspeech-k2-v2 is an automatic speech recognition (ASR) model
trained on ReazonSpeech v2.0 corpus.
This model provides end-to-end Japanese speech recognition based on Next-gen Kaldi.
Model Architecture
-
Character-based RNN-T model. The total parameter count is 159.34M.
-
This model utilizes an enhanced Transformer architecture called Zipformer.
-
The training recipe is available on k2-fsa/icefall.
Note that this model can process Japanese audio clips up to ~30 seconds.
Usage
We recommend to use this model through our reazonspeech library.
from reazonspeech.k2.asr import load_model, transcribe, audio_from_path
audio = audio_from_path("speech.wav")
model = load_model()
ret = transcribe(model, audio)
print(ret.text)
License
- Task
- Automatic Speech Recognition
- License
- apache-2.0
- Languages
- ja
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026