---
title: IPA Transcription Leaderboard
emoji: 📝
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 5.12.0
app_file: app/app.py
pinned: true
license: agpl-3.0
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/61dd07bafdc070745eed96fd/QC0vfJ-i0oc77NAM8Fdjs.png
short_description: Speech-to-phoneme leaderboard
---

# 🎯 English Phonemic Transcription Leaderboard

Welcome to the English Phonemic Transcription Leaderboard! This simple leaderboard helps track and compare the performance of different speech-to-phoneme models. Feel free to fork it for your own hugging face leaderboards! 

![leaderboard](img/leaderboard.png)

## ✨ Features

* 📊 Interactive leaderboard with real-time sorting
* 🔄 Easy model submission system
* 📈 Automatic evaluation of submitted models 
* 📱 Responsive design that works on all devices

## 🎯 What This Project Does

This leaderboard tracks two key metrics for phonemic transcription models:


* **PER (Phoneme Error Rate)**: How accurately your model converts speech to phonemes
* **PWED (Phoneme Weighted Edit Distance)**: A more nuanced metric that considers phonemic features

Read more about evaluations on our [blog](https://www.koellabs.com/blog/phonemic-transcription-metrics)

Models are evaluated on the TIMIT speech corpus, a gold standard in speech recognition research.

## 🚀 Getting Started

Navigate to the hosted version on [Hugging Face](https://huggingface.co/spaces/KoelLabs/IPA-Transcription-EN) or follow the instructions in [DEVELOPMENT.md](DEVELOPMENT.md) to run the leaderboard locally.

## 🎮 Using the Leaderboard

### Submitting a Model

1. Go to the "Submit Model" tab
2. Enter your model details:
   * Model name (e.g., "wav2vec2-phoneme-wizard")
   * Submission name (e.g., "MyAwesomeModel v1.0")
   * GitHub/Kaggle/HuggingFace URL (optional)
3. Click Submit and watch your model climb the ranks! 🚀

### Checking Model Status

1. Navigate to the "Model Status" tab
2. Enter your model name or task ID
3. Get real-time updates on your model's evaluation progress

## 📊 Understanding the Results

The leaderboard shows:

* Model names and submission details
* PER and PWED scores (lower is better!)
* Links to model repositories
* Submission dates

Sort by either metric to see who's leading the pack!

## 🛠️ Technical Details

* Built with Gradio for a smooth UI experience
* Runs on a basic compute plan (16GB RAM, 2vCPUs) for easy reproducibility
* Evaluation can take several hours - perfect time to grab a coffee ☕

## 🤝 Contributing

Want to make this leaderboard even better? We'd love your help! Here are some ways you can contribute:

* Add new evaluation metrics
* Improve the UI design
* Enhance documentation
* Submit bug fixes
* Add new features

Checkout the [CONTRIBUTING.md](CONTRIBUTING.md) for more details.

## 📝 License

This project is licensed under the GNU Affero General Public License.

We retain all rights to the Koel Labs brand, logos, blog posts and website content.

## 🌟 Acknowledgments

* Thanks to the TIMIT speech corpus for providing evaluation data
* Shoutout to the [panphon library](https://github.com/dmort27/panphon) for PWED calculations
* Built with love by Koel Labs 💙

## 🆘 Need Help?

Got questions? Found a bug? Want to contribute? [Open an issue](https://huggingface.co/spaces/KoelLabs/IPA-Transcription-EN/discussions) or [reach out to us](mailto:info@koellabs.com)! We're here to help make speech recognition evaluation fun and accessible for everyone!

Remember: Every great model deserves its moment to shine! 🌟

---

Happy Transcribing! 🎤✨