AudioCommons · Project

Smart Tools to Find and Reuse Free Audio in Professional Productions

digitalTestedTRL 5

Imagine millions of sound effects, music clips, and audio samples sitting online under free licenses — but no easy way for professionals to actually find and use them. AudioCommons built smart search and tagging tools that automatically describe what audio sounds like (is it bright? dark? warm?) so creative professionals can find exactly the right sound in seconds. Think of it as a "Google for sound" that understands audio quality and mood, not just file names. The project also tackled the messy licensing side, so you know exactly what you can and cannot do with each clip.

By the numbers

EUR 2,979,055

EU research investment

Partners across 5 countries

Total project deliverables

Working demo prototypes delivered

SMEs in the consortium

50%

Industry partner ratio

The business problem

What needed solving

Creative industries — from game studios to film producers — spend significant time and money sourcing, licensing, and managing audio content. Meanwhile, millions of free Creative Commons audio files exist online but are practically unusable because they lack proper descriptions and cannot be easily searched or integrated into professional workflows. The result is wasted money on commercial libraries and wasted free content that nobody can find.

The solution

What was built

The project built 6 working demo prototypes: automatic timbral characterisation tools for non-musical audio (sound effects, ambient sounds), automatic semantic description tools for music pieces, and automatic semantic description tools for music samples. Each tool went through two iterations, with second versions improved after user evaluation. In total, 44 deliverables were produced covering the full ecosystem from content tagging to rights management.

Audience

Who needs this

Video game studios with in-house sound design teamsFilm and TV post-production companiesIndependent music producers and beat makersAdvertising agencies producing audio-heavy campaignsPodcast production companies scaling content output

Business applications

Who can put this to work

Video Games

any

Target: Game development studios needing sound design assets

If you are a game studio dealing with high costs and slow turnaround for sourcing sound effects and ambient audio — this project developed automatic audio tagging tools that can semantically describe music samples and non-musical content. Instead of manually browsing thousands of clips, your sound designers search by timbral qualities and get instant results from Creative Commons libraries, cutting asset sourcing time and licensing fees.

Film & TV Production

mid-size

Target: Post-production houses and audiovisual studios

If you are a post-production company dealing with expensive sound library subscriptions and rights clearance headaches — this project built tools for automatic semantic description of music pieces and soundscapes. With 44 deliverables across 6 partners in 5 countries, the ecosystem connects you to free-to-use audio content already tagged and rights-cleared, reducing both costs and legal risk.

Music Production & Sampling

SME

Target: Independent music producers and sample pack creators

If you are an independent producer dealing with finding the right samples across scattered online libraries — this project created prototype tools that automatically annotate music samples by their sonic characteristics. The second-generation prototypes were improved after real user evaluation, meaning the search understands what a sample actually sounds like rather than relying on unreliable manual tags.

Frequently asked

Quick answers

What would it cost to implement these audio search tools?

The project was funded with EUR 2,979,055 across 6 partners over 3 years. The tools are prototypes built on open-source principles around Creative Commons content. Licensing and integration costs would depend on the specific tool and your production environment, but the underlying audio content itself is free under Creative Commons licenses.

Can these tools handle the volume of audio we process at industrial scale?

The project produced 6 demo prototypes including second-generation versions improved after evaluation cycles, totaling 44 deliverables. Based on available project data, the tools were validated in creative industry workflows for audiovisual, music, and video games production, but scaling to very large proprietary libraries would likely require further engineering.

What is the IP and licensing situation?

The project specifically focused on Creative Commons licensed audio content and tackled rights management challenges. The tools were designed to handle licensing across the production chain, so rights tracking is built into the ecosystem. Specific IP ownership of the tools would rest with the 6 consortium partners across 5 countries.

How does the automatic audio tagging actually work?

The project built timbral characterisation tools that analyze the acoustic properties of audio — things like brightness, warmth, and texture. These tools automatically generate semantic descriptions for music pieces, music samples, and non-musical content like sound effects, replacing manual tagging with machine analysis.

Is this ready to plug into our existing production workflow?

The project delivered second-generation prototypes that were improved after evaluation cycles with users. While the tools demonstrated integration with creative workflows for audiovisual, music, and video games production, they remain at prototype stage. Further development would be needed for plug-and-play integration with commercial DAWs or editing suites.

What industries were involved in testing this?

The consortium included 3 industry partners and 3 universities across Spain, France, Israel, Luxembourg, and the UK. With a 50% industry ratio and 3 SMEs involved, the tools were designed and evaluated against real use cases in audiovisual production, music production, and video games.

Consortium

Who built it

The AudioCommons consortium brought together 6 partners from 5 countries (Spain, France, Israel, Luxembourg, UK), with an even 50-50 split between industry and academia. The 3 SMEs in the consortium signal that smaller, agile companies saw commercial potential in this space. Universidad Pompeu Fabra in Spain coordinated the project with EUR 2,979,055 in EU funding. The international spread and balanced industry-university mix suggest the tools were developed with both technical rigor and real market needs in mind, though the project closed in January 2019 and the current commercial status of the outputs would need verification.

UNIVERSIDAD POMPEU FABRACoordinator · ES
JAMENDO SAparticipant · LU
QUEEN MARY UNIVERSITY OF LONDONparticipant · UK
AUDIOGAMINGparticipant · FR
UNIVERSITY OF SURREYparticipant · UK

How to reach the team

Universidad Pompeu Fabra (Barcelona, Spain) — contact via SciTransfer for warm introduction to the research team

Order a report on this consortium See UNIVERSIDAD POMPEU FABRA profile →

Next steps

Talk to the team behind this work.

Want to explore how AudioCommons audio tagging tools could reduce your sound sourcing costs? SciTransfer can connect you with the research team and help evaluate fit for your production workflow.

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