Innovate UK Fund Announces Six Organizations Funded by £1M Grant — With AudioStrip a Big Winner

Audiostrip wins Innovate UK fund for AI in music
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Audiostrip wins Innovate UK fund for AI in music
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Photo Credit: AudioStrip (Basil Woods)

The Innovate UK Fund has announced six winners to be awarded grant funding from the government totaling £1 million to jumpstart ‘AI in the music industry.’ That includes AI-focused upstart AudioStrip.

Competition assessors agreed that AudioStrip would benefit and strengthen the UK music industry by saying “this is well planned, resourced, and researched innovation that can impact the business, market, and wider industries in the field of AI and music separation.”

The aim of the Innovate UK Fund competition is to advance the development of artificial intelligence products and services within the global music supply chain, which benefits the UK music sector. Winners must collaborate with industry stakeholders to unlock the full potential of AI applications across the value chain, support and uplift the music industry, and drive long-term creative and commercial success.

AudioStrip will strengthen its partnership with the world-leading Centre for Digital Music (C4DM) at Queen Mary University of London. The collaboration will see AudioStrip develop new state-of-the-art AI in music source separation via machine learning. The company takes a finished music file and can cleanly separate it into vocals and instruments—similar to the technology used to extract John Lennon’s voice from a cassette recording.

Current commercial software only splits vocals, bass, and drums at good quality. Currently, there is no product that can simultaneously separate more instruments in a usable quality, which is what AudioStrip aims to achieve. The partnership with C4DM will fill this gap by developing advanced machine-learning algorithms that can automatically detect musical instruments for high-quality audio source separation.

“This technology is sweeping the music industry,” Basil Woods, Co-Founder & CEO of AudioStrip told Digital Music News. “AudioStrip will offer more advanced tools for precise separation of individual elements in audio files. By partnering with Queen Mary, we aim to elevate music source separation technology beyond industry benchmarks, making it an indispensable tool for DJs, independents, producers, and licensors.”

“Our goal is to automatically identify musical elements from any given song—including vocal, instrumental, drums, bass, piano, electric guitar, acoustic guitar, and synthesizer—and extract them into independent tracks without losing quality.”

“Our Centre for Digital Music (C4DM) has grown into a world-leading multi-disciplinary research group, responsible for numerous spin-out companies and business partnerships with companies large and small,” adds Simon Dixon, Director of UKRI Centre for Doctorial Training in Artificial Intelligence and Music at Queen Mary University of London.