Epidemic Sound launches audio-based search tool on Google Cloud

Epidemic Sound offers users royalty-free music, boasting more than 35 000 tracks and 90 000 sound effects. The platform says the EAR was designed to create “a more natural search experience and will help content creators “quickly and easily find music for their productions.”

The tool was developed using Google Cloud technology, including BigQuery, TensorFlow, and Vertex AI, and will enable users to manually select specific sections of tracks on the platform for their searches. It uses machine learning to analyse the characteristics and notes of the chosen section audio segment and suggests music of a similar tone and sound.

“EAR is the latest feature in our commitment to making it as easy and quick as possible for content creators to find the right music no matter how they search,” Epidemic Sound chief product officer Greg Elkehag Funk said. “Google Cloud’s scalable and light-touch infrastructure has been instrumental to our ability to meet user demand and develop innovations like EAR.”

Google Cloud’s managing director of the Nordic region Eva Fors said: “Epidemic Sound represents a great example of a business continually transforming and adapting to change. We are proud to work with a homegrown Swedish company and be part of its growth journey. Through the use of Google Cloud technologies, Epidemic Sound can now equip and empower its entire organisation with the tools necessary to serve its growing digital communities.”

The new tool is the latest development between Epidemic and Google Cloud and forms part of their ongoing strategic partnership established in 2019. Epidemic partnered with Google Cloud to build scalable infrastructure and expand. The platform has since used Google’s technology, including advertising and analytics, machine learning capabilities, containerisation, compute, and storage services, to improve its library, custom searches, and recommendations, among other features, based on user behaviour on its platform.