You can deploy this model and start earning money today!

espnet/
owls_1B_180K

Name: owls_1B_180K
Availability: InStock

espnet

audio

automatic-speech-recognition

Views

No views yet

OWLS: Open Whisper-style Large-scale neural model Suite

Paper

OWLS is a suite of Whisper-style models, designed to help researchers understand the scaling properties of speech models. OWLS models range from 0.25B to 18B parameters, and are trained on up to 360K hours of data.

OWLS models are developed using ESPnet, and support multilingual Speech Recognition and Translation.

It is part of the OWSM project, which aims to develop fully open speech foundation models using publicly available data and open-source toolkits.

The model in this repo has 1.12B parameters in total and is trained on 180k hours of public speech data. Specifically, it supports the following speech-to-text tasks:

Speech recognition
Any-to-any-language speech translation
Utterance-level alignment
Long-form transcription
Language identification

Use this model

You can use this model in your projects with the following code:

python

# make sure espnet is installed: pip install espnet
from espnet2.bin.s2t_inference import Speech2Text

model = Speech2Text.from_pretrained(
  "espnet/owls_1B_180K"
)

speech, rate = soundfile.read("speech.wav")
speech = librosa.resample(speech, orig_sr=rate, target_sr=16000)
# make sure 16k sampling rate

text, *_ = model(speech)[0]

OWLS models

Model Name	Checkpoint	Training Artifacts
OWLS 0.25B 180K	https://huggingface.co/espnet/owls_025B_180K	TBA
OWLS 0.50B 180K	https://huggingface.co/espnet/owls_05B_180K	https://huggingface.co/espnet/owls_05B_180K_intermediates/tree/main
OWLS 1B 11K	TBA	TBA
OWLS 1B 22K	TBA	TBA
OWLS 1B 45K	TBA	TBA
OWLS 1B 90K	TBA	TBA
OWLS 1B 180K	https://huggingface.co/espnet/owls_1B_180K	TBA
OWLS 2B 180K	https://huggingface.co/espnet/owls_2B_180K	TBA
OWLS 4B 180K	https://huggingface.co/espnet/owls_4B_180K	https://huggingface.co/espnet/owls_4B_180K_intermediates
OWLS 9B 180K	https://huggingface.co/espnet/owls_9B_180K	https://huggingface.co/espnet/owls_9B_180K_intermediates
OWLS 18B 180K	https://huggingface.co/espnet/owls_18B_180K	TBA
OWLS 18B 360K	https://huggingface.co/espnet/owls_18B_360K	TBA

Citations

@article{chen2025owls,
  title={OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models},
  author={Chen, William and Tian, Jinchuan and Peng, Yifan and Yan, Brian and Yang, Chao-Han Huck and Watanabe, Shinji},
  journal={arXiv preprint arXiv:2502.10373},
  year={2025}
}