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Audiostrip’s AI may recover lost music, like The Beatles

  • April 22, 2024
  • Picture of Christopher Wieduwilt - The AI Musicpreneur Christopher Wieduwilt - The AI Musicpreneur
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✓ Day 1: Define your USP
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In a major boost for music AI, AudioStrip has secured substantial grant funding from the UK government to develop cutting-edge source separation technology that could revolutionize the industry.

Current commercial software can only separate vocals, bass, and drums. Audiostrip has developed a solution that can simultaneously separate a wider range of musical elements, including individual instruments, while maintaining usable quality. This technology, as seen with the 2023 release of The Beatles’ “Now and Then” featuring John Lennon’s extracted vocals, has far-reaching implications, enabling new remixes, educational uses, and the recovery of lost recordings.

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Everything you need to know:

✓ AudioStrip awarded UK government grant to advance AI music source separation

✓ Partnership with Queen Mary University to develop cutting-edge algorithms

✓ Goal to extract individual instruments and vocals while maintaining high quality

Audiostrip wins UK gov’t grant for AI music innovation

Audiostrip, a pioneering company specializing in AI-driven music source separation, has been awarded a significant grant from the UK government’s £1 million “AI in the Music Industry” Innovate UK Fund. The project, titled “Fine-grained music source separation with deep learning models,” aims to push the boundaries of what’s possible in extracting individual instruments and vocals from music files.

Read more: The best 5 AI stem separation tools in 2024

The competition assessors recognized the immense potential of Audiostrip’s innovation, stating that it is a “well planned, resourced and researched innovation that can impact the business, market and wider industry in the field of AI and music separation” and that “the rewards could be significant.” This funding will enable Audiostrip to advance the development of AI products and services that can benefit the entire music supply chain.

As part of the project, Audiostrip will be collaborating with the world-renowned C4DM Queen Mary University of London to develop state-of-the-art AI algorithms for music source separation. The goal is to create a tool that can automatically detect and extract individual elements from a song, including vocals, drums, bass, piano, electric and acoustic guitar, and synthesizer, while maintaining the highest quality.

Audiostrip founder Basil Woods says during a presentation to receive UK funding for his AI music tool: "This technology is sweeping the music industry. AudioStrip will offer more advanced tools for precise separation of individual elements in audio files."

“This technology is sweeping the music industry. 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, independent artists, producers, and licensors.”

Basil Woods, Co-Founder and CEO of AudioStrip

Audiostrip & Queen Mary Uni to push AI music separation limits

Current commercial software can only separate vocals, bass, and drums at an acceptable quality. There is no product on the market that can simultaneously separate more instruments while maintaining usable quality. Audiostrip’s partnership with Queen Mary University aims to fill this gap and push the limits of what AI can do for music production and manipulation.

The implications of this technology are far-reaching. It could potentially allow for the creation of new remixes, the isolation of specific instruments for educational purposes, or even the recovery of lost recordings, as seen with the 2023 release of The Beatles’ “Now and Then” featuring John Lennon’s extracted vocals.

The Beatles used AI to restore John Lennon's voice for their final track "Now and Then".

Simon Dixon, Director of the UKRI Centre for Doctoral Training in Artificial Intelligence and Music at Queen Mary University of London, expressed enthusiasm for the partnership, highlighting the multidisciplinary expertise of the university’s Centre for Digital Music and its track record of successful collaborations with businesses of all sizes.

As Audiostrip and Queen Mary University embark on this groundbreaking project, the music industry eagerly awaits the innovative tools that will emerge, promising to reshape the way we create, manipulate, and experience music in the digital age.

Whenever you’re ready, there are 3 ways I can help you:

  1. The AI Fanbase Builder: My flagship course and prompt library endorsed by music industry leaders. The AI Fanbase Builder teaches you step-by-step frameworks for growing your audience, getting noticed on social media, and turning followers into paying fans. Come learn proven strategies to build a thriving music career with AI.
  2. AI Music Newsletter: Join 2,000+ music professionals who use my proven AI tools, prompts, and workflows. Subscribers save 10+ hours weekly on music creation and promotion tasks that used to take days.
  3. Promote your AI tool to 2,000+ music pros weekly: Put your music brand in my newsletter where musicians, producers and industry pros, including Grammy winners and label executives, are already looking for AI music tools and insights each Wednesday.
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Christopher Wieduwilt - The AI Musicpreneur Founder, Content Creator
Christopher Wieduwilt, founder of the AI Musicpreneur, combines 15 years of music industry experience with AI expertise to empower artists. Having navigated the highs and lows himself, Christopher now shares AI music tools and strategies to help artists create, promote, and grow their fanbase. His mission is to guide musicians in winning 1,000 true fans in the AI era.
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