| license: apache-2.0 | |
| language: | |
| - ja | |
| tags: | |
| - automatic-speech-recognition | |
| # reazonspeech-k2-v2 | |
| `reazonspeech-k2-v2` is an automatic speech recognition (ASR) model | |
| trained on [ReazonSpeech v2.0 corpus](https://huggingface.co/datasets/reazon-research/reazonspeech). | |
| This model provides end-to-end Japanese speech recognition based on | |
| [Next-gen Kaldi](https://k2-fsa.org/). | |
| ## Model Architecture | |
| * Character-based RNN-T model. The total parameter count is 159.34M. | |
| * This model utilizes an enhanced Transformer architecture called | |
| [Zipformer](https://arxiv.org/abs/2310.11230). | |
| * The training recipe is available on | |
| [k2-fsa/icefall](https://github.com/k2-fsa/icefall/tree/master/egs/reazonspeech/ASR). | |
| Note that this model can process Japanese audio clips up to ~30 seconds. | |
| ## Usage | |
| We recommend to use this model through our | |
| [reazonspeech](https://github.com/reazon-research/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 | |
| [Apaceh Licence 2.0](https://choosealicense.com/licenses/apache-2.0/) | |