reazonspeech-espnet-v2 is an automatic speech recognition (ASR) model
trained on
ReazonSpeech v2.0 corpus.
The general architecture is the same as
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.
We recommend to use this model through our
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)
