Music-tech startup AudioStrip has won grant funding from the British government’s ‘AI in the Music Industry’ Innovate UK fund.
AudioStrip is one of six ‘lead organisations’ – the awarded projects tend to be collaborative but with one entity leading the application – to share a £1m pot of funding from the scheme.
AudioStrip will be using the funding for its project with the Centre for Digital Music at Queen Mary University of London, based on its AI-powered source separation technology.
“Current commercial software only splits vocals, bass, and drums at good quality. There is no product that can simultaneously separate more instruments in a usable quality,” explained AudioStrip in its announcement.
“This partnership project will fill this gap by developing advanced machine-learning algorithms that can automatically detect musical instruments for high-quality audio source separation.”
This kind of technology got a big boost in industry awareness last year when The Beatles used source separation tech to create their ‘last’ track ‘Now and Then’.
AudioStrip is one of a number of companies working in the field hoping to capitalise on this.
“By partnering with Queen Mary, we aim to elevate music source separation technology beyond industry benchmarks, making it an indispensable tool for DJs, independent artists, producers, and licensors,” said CEO Basil Woods.
“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.”
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