---
tags:
- espnet
- audio
- automatic-speech-recognition
- speech-translation
- language-identification
language: multilingual
datasets:
- owsm_ctc_v4
license: cc-by-4.0
metrics:
- cer
- bleu
- accuracy
library_name: espnet
---

[OWSM-CTC](https://aclanthology.org/2024.acl-long.549/) (Peng et al., ACL 2024) is an encoder-only speech foundation model based on hierarchical multi-task self-conditioned CTC.
OWSM-CTC v4 is trained on 320k hours of public audio data for multilingual speech recognition, any-to-any speech translation, and language identification, which follows the design of the project, [Open Whisper-style Speech Model (OWSM)](https://arxiv.org/abs/2401.16658).

To use the pre-trained model, please install `espnet` and `espnet_model_zoo`. The requirements are:
```
librosa
torch
espnet
espnet_model_zoo
```

**Example usage can be found in ESPnet:** https://github.com/espnet/espnet/tree/master/egs2/owsm_ctc_v3.1/s2t1