
# 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/)

{"language": ["ja"], "license": "apache-2.0", "library_name": "espnet", "tags": ["automatic-speech-recognition"]}
espnet automatic-speech-recognition ja license:apache-2.0 region:us