espnet/wanchichen_fleurs_asr_ebf_scctc

Usage

import librosa
from espnet2.bin.asr_inference import Speech2Text

speech2text = Speech2Text.from_pretrained(model_tag="espnet/wanchichen_fleurs_asr_ebf_scctc")
# librosa resamples and mixes to one channel, so any file works; 16000 is
# what nearly every espnet recogniser is trained on - check this model's
# config if its audio is not 16 kHz
speech, rate = librosa.load("audio.wav", sr=16000, mono=True)
text, *_ = speech2text(speech)[0]
print(text)

ESPnet2 ASR model

espnet/wanchichen_fleurs_asr_conformer_sctctc

This model was trained by William Chen using the fleurs recipe in espnet.

`