iZotope has launched Dialogue Match, an audio tool designed to automatically learn and match the sonic character of dialogue recordings.
It is the first product to combine brand-new machine learning from iZotope with reverb technology from Exponential Audio’s product line, which was acquired by iZotope earlier this year.
Re-recording mixers that are responsible for delivering the final sound mix for films and television programs, often need a way to quickly match dialogue from lavalier, boom mics, and ADR (Automated Dialogue Replacement), in order to create a seamless and cohesive dialogue performance.
With Dialogue Match, users can analyse audio to extract a sonic profile, then apply the profile to any other dialogue track for fast and easy environmental consistency in scene recordings, allowing them to complete the tedious process of matching production dialogue to ADR in seconds, rather than hours. Tonal characteristics can be matched between a boom and a lavalier microphone, localised audio can automatically be matched to the original language, and global snapshots and reference profiles can be saved or loaded.
“Users who have tested Dialogue Match are telling us that it will change the way they approach dialogue editing forever,” said iZotope’s senior product manager, Mike Rozett. “We are very excited to collaborate with Exponential Audio founder Michael Carnes on this product and we’re both convinced that this technology will revolutionise the laborious process of getting continuity in dialogue.”