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+---
+layout: post
+title: Open Whisper-style Speech Models (OWSM)
+description: This is the project page for OWSM models.
+date: 2024-01-01 00:00:00-0800
+comments: false
+---
+
+## Overview
+
+The **O**pen **W**hisper-style **S**peech **M**odels (OWSM, pronounced as "awesome") are a series of speech foundation models developed by [WAVLab](https://www.wavlab.org/) at Carnegie Mellon University. It reproduces Whisper-style training using publicly available data and an open-source toolkit [ESPnet](https://github.com/espnet/espnet). By publicly releasing data preparation scripts, training and inference code, pre-trained model weights and training logs, we aim to promote transparency and open science in large-scale speech pre-training.
+
+## News
+
+
+## Demo pages
+
+- Gradio demo: [![Static Badge](https://img.shields.io/badge/OWSM-Demo-orange)](https://pyf98-owsm-v3-demo.hf.space)
+- Colab notebook: [![Open All Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1zKI3ZY_OtZd6YmVeED6Cxy1QwT1mqv9O?usp=sharing)
+
+
+## Pre-trained models
+
+We have released various pre-trained models. The training logs are also available for major models.
+
+<table class="table">
+    <thead>
+      <tr>
+        <th>Name</th>
+        <th>Encoder</th>
+        <th>Parameters</th>
+        <th>Data (hours)</th>
+        <th>Model Link</th>
+        <th>ESPnet Recipe</th>
+      </tr>
+    </thead>
+    <tbody>
+      <tr>
+        <td>OWSM v1</td>
+        <td>Transformer</td>
+        <td>272M</td>
+        <td>38k</td>
+        <td><a href="https://huggingface.co/espnet/owsm_v1">espnet/owsm_v1</a></td>
+        <td><a href="https://github.com/espnet/espnet/tree/master/egs2/owsm_v1/s2t1">egs2/owsm_v1/s2t1</a></td>
+      </tr>
+      <tr>
+        <td>OWSM v2</td>
+        <td>Transformer</td>
+        <td>712M</td>
+        <td>129k</td>
+        <td><a href="https://huggingface.co/espnet/owsm_v2">espnet/owsm_v2</a></td>
+        <td><a href="https://github.com/espnet/espnet/tree/master/egs2/owsm_v2/s2t1">egs2/owsm_v2/s2t1</a></td>
+      </tr>
+      <tr>
+        <td>OWSM v2</td>
+        <td>E-Branchformer</td>
+        <td>739M</td>
+        <td>129k</td>
+        <td><a href="https://huggingface.co/espnet/owsm_v2_ebranchformer">espnet/owsm_v2_ebranchformer</a></td>
+        <td><a href="https://github.com/espnet/espnet/tree/master/egs2/owsm_v2/s2t1">egs2/owsm_v2/s2t1</a></td>
+      </tr>
+      <tr>
+        <td>OWSM v3</td>
+        <td>Transformer</td>
+        <td>889M</td>
+        <td>180k</td>
+        <td><a href="https://huggingface.co/espnet/owsm_v3">espnet/owsm_v3</a></td>
+        <td><a href="https://github.com/espnet/espnet/tree/master/egs2/owsm_v3/s2t1">egs2/owsm_v3/s2t1</a></td>
+      </tr>
+      <tr>
+        <td>OWSM v3.1</td>
+        <td>E-Branchformer</td>
+        <td>1.02B</td>
+        <td>180k</td>
+        <td><a href="https://huggingface.co/espnet/owsm_v3.1_ebf">espnet/owsm_v3.1_ebf</a></td>
+        <td>TBD</td>
+      </tr>
+    </tbody>
+  </table>
+
+
+## Inference
+
+### Language Identification
+
+### Speech Recognition
+
+### Speech Translation
+
+### Long-form Speech Recognition or Translation
+
+
+## Fine-tuning
+
+
+## Citations
+