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owls_1b_90k
espnet/owls_1b_90k
owls_1b_90k is a automatic speech recognition model from espnet. Use it when you need speech turned into text.
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Public
Updated Sep 19, 2026
Repo size
2.2 GB
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.pth2.2 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Access
- Public
- Created
- Jun 12, 2025
- Updated
- Sep 19, 2026
- SHA
- 47d81e6a
Model card
From the Hugging Face model README
Usage
import librosa
from espnet2.bin.s2t_inference import Speech2Text
s2t = Speech2Text.from_pretrained(
model_tag="espnet/owls_1b_90k", lang_sym="<eng>", task_sym="<asr>", beam_size=5
)
# OWSM is trained on 16 kHz; each call decodes 30 s, padded or trimmed
speech, rate = librosa.load("audio.wav", sr=16000, mono=True)
text, token, token_int, text_nospecial, hyp = s2t(speech)[0]
print(text_nospecial) # `text` keeps OWSM's own <eng><asr> markers
# for a recording longer than 30 s: s2t.decode_long(speech) -> (start, end, text)
- Task
- Automatic Speech Recognition
- Created
- Jun 12, 2025
- Updated
- Sep 19, 2026