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Cadenza Lyric Intelligibility Prediction Challenge (CLIP)

· 3 min read
Gerardo Roa
Clarity Team Member
Trevor Cox
Cadenza Team Member

Dear colleague, It gives us great pleasure to pre-announce the next Cadenza Challenge for music processing and hearing difference. This autumn we will be running the Cadenza Lyric Intelligibility Prediction Challenge (CLIP). We're hoping this will be accepted as an ICASSP 2026 Grand Challenge.

The Challenge

To develop better music processing through machine learning, we need reliable way to automatically evaluate the audio. For music with lyrics, then we need a metric to evaluate the intelligibility of the sung words. The metric would come from a predictive model that takes as input audio and estimates the lyric intelligibility score that someone would achieve in a listening test.

With the development of large language models and foundation models for speech and music, there is great potential to significantly improve the current state-of-the-art. The music will be genres like pop and rock. Some of this will be as-is, other will be passed through a hearing loss simulator to mimic listeners with hearing loss but not wearing hearing aids.

Welcome

· One min read
Trevor Cox
Cadenza Team Member
Jon Barker
Clarity Team Member

Welcome to the new Cadenza webpage. We will be using this page to post the latest news about our forthcoming machine learning challenges and workshops, as well as posts discussing the tools and techniques that we are using in our baseline systems.