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Cover image for blog post: Building Open Source Hugging Face Leaderboards
Technical Report

Building Open Source Hugging Face Leaderboards

By Koel Labs

Sometimes, the best machine learning models are hidden in plain sight. During our work on phonemic transcription, we stumbled upon a specialized ginic model that had been finetuned on Facebook's XLSR-53 model using the Buckeye corpus. This discovery proved significant: Ginic performs 1.2x better than Facebook, and iterating on their approach, our m... Read More

Cover image for blog post: A Deep Dive into Phonemic Transcription Metrics
Technical Report

A Deep Dive into Phonemic Transcription Metrics

By Koel Labs

The International Phonetic Alphabet (IPA) is like the Swiss Army knife of pronunciation—it gives us precise symbols to represent every sound humans make in language. In recent years, predicting these phonemic transcriptions from audio has become a popular machine learning task. But how do we calculate the accuracy of these models?

Announcements

Cover image for blog post: Hello World! — Our Open Source Project Launch
Announcement

Hello World! — Our Open Source Project Launch

By Koel Labs

At Koel Labs, our goal is to make pronunciation learning more accessible and inclusive. To represent the diversity of language and dialects, we're excited to announce that everything from model weights and training code to datasets, research papers, and the frontend UI is officially open source! We believe that together, we can b... Read More

Technical Reports

Cover image for blog post: Building Open Source Hugging Face Leaderboards
Technical Report

Building Open Source Hugging Face Leaderboards

By Koel Labs

Sometimes, the best machine learning models are hidden in plain sight. During our work on phonemic transcription, we stumbled upon a specialized ginic model that had been finetuned on Facebook's XLSR-53 model using the Buckeye corpus. This discovery proved significant: Ginic performs 1.2x better than Facebook, and iterating on their approach, our m... Read More

Cover image for blog post: A Deep Dive into Phonemic Transcription Metrics
Technical Report

A Deep Dive into Phonemic Transcription Metrics

By Koel Labs

The International Phonetic Alphabet (IPA) is like the Swiss Army knife of pronunciation—it gives us precise symbols to represent every sound humans make in language. In recent years, predicting these phonemic transcriptions from audio has become a popular machine learning task. But how do we calculate the accuracy of these models?

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