README.md

metadata

title: OWSM v4
emoji: 🌍
colorFrom: blue
colorTo: pink
sdk: gradio
python_version: '3.12'
sdk_version: 6.27.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: The same demo as espnet/owsm-v4, kept at this older address
tags:
  - espnet
  - owsm
  - automatic-speech-recognition
  - speech-translation
  - language-identification
models:
  - espnet/owsm_v4_medium_1B

OWSM v4

The same demo as espnet/owsm-v4: the same app.py and requirements.txt, maintained in the ESPnet repository at egs2/owsm_v4/s2t1/demo.

This address is older and has been linked from elsewhere, so it is kept rather than retired. Changes belong in the repository, not in either Space; both are published from that directory with

hf upload espnet/owsm-v4        egs2/owsm_v4/s2t1/demo . --repo-type space
hf upload espnet/OWSM_V4_Demo   egs2/owsm_v4/s2t1/demo . --repo-type space

(this card being the one file that differs, since it says what you are reading.)

The encoder-only sibling is espnet/owsm-ctc-v4, from egs2/owsm_ctc_v4/s2t1/demo. It offers the same tasks with owsm_ctc_v4_1B, so the two models can be compared on the same audio.

Citation

@inproceedings{owsm-v4,
  title={{OWSM} v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning},
  author={Yifan Peng and Shakeel Muhammad and Yui Sudo and William Chen and Jinchuan Tian and Chyi-Jiunn Lin and Shinji Watanabe},
  booktitle={Proc. INTERSPEECH},
  year={2025},
}