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---
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/)
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