| license: apache-2.0 | |
| language: | |
| - ja | |
| library_name: espnet | |
| tags: | |
| - automatic-speech-recognition | |
| # reazonspeech-espnet-v2 | |
| `reazonspeech-espnet-v2` is an automatic speech recognition (ASR) model | |
| trained on [ReazonSpeech v2.0 corpus](https://huggingface.co/datasets/reazon-research/reazonspeech). | |
| ## Model Architecture | |
| The general architecture is the same as [reazonspeech-espnet-v1](https://huggingface.co/reazon-research/reazonspeech-espnet-v1). | |
| * Conformer-Transducer model with 118.85M parameters. | |
| * We trained this model for 33 epoch using Adam optimizer. The maximum | |
| learning rate was 0.02, with 15000 warmup steps. | |
| * The training audio files were sampled at 16khz. Make sure that your | |
| input audio files have the same sampling rate. | |
| ## Usage | |
| We recommend to use this model through our | |
| [reazonspeech](https://github.com/reazon-research/reazonspeech) | |
| library. | |
| ``` | |
| from reazonspeech.espnet.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/) | |