One post tagged with "dataset"

People with hearing loss can have difficulties to clearly and effortlessly hearing lyrics. In speech technology, having metrics to automatically evaluate intelligibility has driven improvements in speech enhancement through machine learning. We want to do the same for music lyrics. We are busy working on the infrastructure for the Cadenza Lyrics Intelligibility Prediction Challenge (CLIP) that will launch at the start of September.

Lyric intelligibility prediction is an understudied topic with only a couple of studies available. In speech, we're seeing advancements driven by large Language Models, but the equivalent is not available for music. One of the reasons for this is the lack of data where audio is paired with listener scores for intelligibility. This is what our new CLIP1 database will address.