Sound designers, field recordists, mixers and professional sound-effects libraries have formed the Professional Sound Alliance, a new coalition pushing for licensing and compensation when professionally recorded sound is used to train commercial AI systems or appears in media without permission.
Launched September 24th, the group argues that the rights debate surrounding artificial intelligence has concentrated heavily on music, voices, books and visual media while another enormous body of creative work has received far less attention: the footsteps, explosions, engines, weather, crowds, machinery, doors, animals and environmental ambience underneath films, games, television and music production.
The alliance identifies two problems. “Data Piracy” refers to professional sound libraries being scraped into commercial AI models without permission or compensation. “Sync Piracy” covers sound effects used in films, television programs, games and other media without the appropriate license.
“Music has its protectors. Voice has its protectors. Now sound will have protection of our own,” Pro Sound Effects founder Douglas Price said as the alliance launched.
Its position is more nuanced than opposition to generative AI itself. Founding companies already license professional recordings for machine learning, including a Pro Sound Effects dataset containing approximately 1.27 million rights-cleared sounds. The dispute is over whether those recordings are licensed before becoming training material.
Professional Sound Is More Than a Door Slam
Sound effects can seem interchangeable because audiences rarely see the work behind them. A door closes, shoes hit pavement or an engine passes through a scene, and the recording simply feels as though it belongs there.
Professional libraries are built differently. Field recordists travel to locations, secure access to unusual machines and environments, choose microphones and perspectives, capture multiple variations and return with raw material that still has to be edited, cleaned, separated and cataloged.
Metadata becomes part of the product. A collection containing hundreds of thousands of recordings is far less useful if a sound editor cannot quickly distinguish one type of engine, footstep, impact or ambience from thousands of others.
Pro Sound Effects says more than 100,000 hours have gone into curation, metadata and editing across its catalog. Its libraries include recordings from professional sound artists such as two-time Academy Award winner Mark Mangini, one of the Professional Sound Alliance’s founding members.
“Sound effects are not a commodity,” Mangini said at the launch, describing them as products of “human expertise, human experience, and human artistry.” His credits include Mad Max: Fury Road, Dune and Blade Runner 2049.
Those recordings also reach beyond film post-production. Sound effects routinely appear in music as transitions, impacts, atmospheres, percussion layers, cinematic introductions and heavily processed textures. Electronic producers can manipulate a field recording until its source becomes almost unrecognizable, but the starting audio still came from someone who captured and prepared it.
That labor is easy to overlook precisely because effective sound design tends to disappear into the finished work.
Data Piracy and Sync Piracy Are Different Problems
The Professional Sound Alliance separates its two complaints because they happen at different points in the production chain.
Data Piracy happens before a finished film, game or AI-generated clip exists. The alliance uses the term for commercial AI systems ingesting professional sound libraries without authorization or compensation, effectively turning licensed recordings into training material for another product.
Sync Piracy is closer to a conventional licensing violation. A sound is placed into a movie, television program, game or another production without the license required for that use.
Buying access to a professional library does not grant unlimited rights to the underlying recordings. Under the Pro Sound Effects license, an individual user can edit, pitch-shift, reverse and layer sounds and synchronize them with video, music and other elements in commercial projects. Raw files cannot simply be redistributed to unlicensed users.
AI training is excluded even more explicitly. The standard license prohibits using the sounds to train machine-learning or AI algorithms for either commercial or non-commercial purposes. Developers that need training material must negotiate separate rights.
Pro Sound Effects also restricts automated extraction from its service. Subscription downloads are capped at 10,000 files per month, a limit intended partly to protect contributing artists and prevent systematic retrieval of the catalog.
The distinction matters because the same recording can carry different rights depending on what someone wants to do with it. Licensing a rainstorm for one film does not automatically include permission to place the raw recording inside a model capable of generating new environmental audio later.
For the alliance, AI has made that boundary considerably more important because a single unauthorized use can potentially contribute to a system that produces an unlimited number of future outputs.
A 1.27 Million-Sound AI Dataset Already Exists
The clearest evidence that the new organization is not trying to keep professional sound away from artificial intelligence comes from Pro Sound Effects itself.
The company offers an AI training dataset containing approximately 1.27 million rights-cleared, human-tagged sounds. The collection exceeds 5,000 hours and 5.8 terabytes of audio spread across more than 660 categories.
Pro Sound Effects says the recordings are professionally produced and curated rather than crowdsourced or synthetically generated. Human-written metadata accompanies the files so machine-learning systems can connect acoustic material with useful descriptions and categories.
The potential applications extend far beyond asking a generator for an explosion or a barking dog. The material can be licensed for text-to-sound generation, environmental recognition, audio classification, speech applications, active noise cancellation, source separation and intelligent retrieval.
A system designed to recognize its surroundings needs examples of the events it is expected to identify. Noise-removal software needs to distinguish wanted audio from fans, traffic, keyboard clicks or other background material. Search technology needs to recognize why two recordings sound related even when their filenames or descriptions differ.
Clean audio and reliable metadata therefore become part of the dataset’s value. A scraped folder might contain enormous quantities of sound, but a professionally organized collection can tell a developer what each file contains and whether the company actually has permission to use it.
Pro Sound Effects expects its available AI data to continue growing and offers customized collections for developers that need particular categories or applications.
The company has also experimented with models where developers do not receive the raw library at all. A partnership with Musical AI allows approved training against licensed material inside a controlled environment, with usage tracked so participating rightsholders can be compensated.
That gives the alliance a concrete alternative to scraping: AI training still happens, but professional recordings enter the system through a commercial agreement.
Sony AI Shows the Licensed Alternative
Sony AI provides a useful example of what that can look like in practice.
Its Woosh project, introduced earlier in 2026, is a foundation model built specifically around sound effects rather than complete songs or speech. Sony’s Woosh research includes systems capable of generating audio from text descriptions and video, along with technology for representing and aligning sounds with language.
A private version optimized for professional output was trained using licensed libraries including material from Pro Sound Effects and Boom Library, both represented among the Professional Sound Alliance’s founders. Sony trained the research version on publicly available datasets and released open models under non-commercial terms.
Video-to-audio makes the implications especially clear. A system can analyze what happens visually and attempt to create accompanying sound rather than requiring an editor to select every element manually.
Consider a short street scene. Shoes move across pavement, a vehicle passes, rain strikes the ground and a metal gate closes. Those are separate acoustic events, and professional sound libraries have spent decades collecting variations of exactly that material.
The technology could eventually become useful across filmmaking, games, animation, advertising and online video. It could also alter the work of sound editors by generating a starting layer automatically before a human refines, replaces or rearranges individual sounds.
Sony has explored AI from the opposite direction as well. Its work with Pro Sound Effects and Audiokinetic on Similar Sound Search for Wwise uses machine learning to help sound designers locate acoustically related recordings inside large libraries. In that case, AI speeds up the search for human-recorded sounds instead of generating replacements for them.
Both applications depend on audio data, but they do different things with it. That is why the alliance is focusing on licensing rather than treating every form of AI audio as one problem.
Licensed Sound Data Is Already a Business
The economics are developing alongside the technology.
Pro Sound Effects offers AI and machine-learning rights separately from its standard sound-library licenses. Developers can request category-specific datasets, customized collections and different delivery methods depending on what their systems require.
That creates a potential revenue stream for sound artists at the same moment AI tools are changing the work those artists do.
Professional audio may become particularly valuable because good machine-learning data requires more than sheer volume. Clean recordings, detailed metadata, consistent categories and clear ownership can save developers from having to determine where millions of unknown files originated.
The demand could grow as generative video improves. Creating convincing moving images is only part of producing a believable scene. Footsteps need surfaces. Vehicles need engines and tires. Objects need impacts. Rooms need ambience. Weather has to occupy the environment.
A model capable of watching a video and automatically producing synchronized audio could reduce some of the manual work currently involved in building those layers. It would also need examples detailed enough to learn what those events sound like.
Professional libraries already contain that material.
The question raised by the alliance is whether those catalogs become another source of uncompensated training data or a new licensing market for the people who recorded, edited and organized them.
The Alliance Is Starting With Advocacy
Despite its use of the word piracy, the Professional Sound Alliance is not launching as a litigation organization.
The founding group includes Price, Pro Sound Effects licensing executive Jeremy Siegel, Boom Library CEO Pierre Langer, Sound Ideas executive Craig Nimens, Emmy-nominated re-recording mixer Karol Urban and Mangini.
Its first steps are a public petition and a downloadable seal that supporters can place on websites, social profiles and email signatures. Participation is open beyond sound professionals to artists, studios, software companies and toolmakers that support licensed use.
The organization has “zero intention” of using the alliance itself to litigate or establish licensing standards, according to professional-audio coverage of the launch. The immediate goal is awareness and a more visible collective position around fair licensing.
Sound already has longstanding craft organizations. The Motion Picture Sound Editors dates to 1953, while the Cinema Audio Society was founded in 1964. Both have focused heavily on professional community, education, awards and recognition of sound work.
The Professional Sound Alliance is trying to occupy a narrower rights-focused space.
Its founders point to the RIAA’s role representing recording-industry rightsholders and SAG-AFTRA’s work for performers when arguing that professional sound needs a clearer collective voice around unauthorized use. The PSA itself is not attempting to duplicate those organizations’ legal or bargaining functions.
For now, its power will depend on how many sound professionals, libraries, studios and technology companies sign on and whether the language around Data Piracy and Sync Piracy gains wider industry use.
AI Copyright Is Moving Beyond Songs and Voices
The alliance arrives as the audio side of the AI rights debate becomes considerably broader.
Record companies have pursued copyright cases over music allegedly used to train generative systems. Performers and unions have negotiated protections around synthetic voices and digital replicas. At the same time, developers and rightsholders are beginning to build commercial licensing routes for some training data.
Sound effects do not fit neatly into either category.
An explosion captured by a field recordist is not a song. A meticulously recorded engine is not a voice performance. Yet both can be commercially valuable recordings created with specialized equipment, access, editing, metadata and professional judgment.
The Professional Sound Alliance describes sound as a third pillar of audio alongside music and voice. Its argument is that technological value does not disappear because audiences rarely know who recorded the footsteps, weather, machinery or ambience underneath what they are watching or hearing.
There is already evidence that professional licensing and AI development can coexist. Pro Sound Effects offers more than a million recordings specifically cleared for machine learning. Sony AI has trained sound-effects technology with licensed professional libraries. AI-assisted search can help human sound designers work through enormous catalogs faster.
Those examples also make the alliance’s position more specific than a general warning about artificial intelligence.
The Professional Sound Alliance is not asking AI developers to stop using professional sound. Some of its founding members are already selling licensed audio for exactly that purpose.
Its argument is simpler: if an AI system needs professionally recorded sound to become valuable, the people who created those recordings should be part of the transaction.