Case Study: Hudson AI achieves cleaner speech audio for dubbing and creator tools with AudioShake

Clean speech for creator dubbing app

Hudson AI, a company specializing in Speech-Vision AI technology, faced the challenge of creating an effective dubbing tool for content creators. To build its Timbr application, Hudson AI needed to process massive datasets by separating dialogue from other audio elements to train its speech models and provide a true-to-original dubbing service. They turned to AudioShake's sound separation technology to address this.

By integrating AudioShake's technology, Hudson AI could efficiently isolate clean dialogue from music and sound effects. This solution accelerated the cleanup time for their datasets, improved the accuracy of their speech models, and enabled the creation of higher quality dubbed content that retains the original music and effects. AudioShake’s partnership provided Hudson AI with best-in-class sound separation that enhanced their dubbing tools for creators.

Hudson AI

Namjin Kang

Product Owner