MusicTech, copyright & media monitoring case

Intro

SoundAware, a leading MusicTech company, specializes in Recognition Technology (MRT) that helps collective management organizations, record labels, publishers, and media platforms to monitor and protect intellectual property across video and audio content.

This technology combines advanced audio recognition algorithms, large-scale data processing, and content analysis to detect original works, remixes, mashups, and other modified media. SoundAware covers various use cases, including music, movies, TV, trends, memes, and emerging user-generated content on platforms like TikTok.

SoundAware’s approach demonstrates how technology and human expertise protect creators’ rights and offer a deeper understanding of trends and emerging media patterns, making it a powerful tool for platforms and creators alike.

The challenge

SoundAware needs to process large volumes of user-generated video content. The initial goal was to:

Detect the presence of original commercial content or its modifications.

Classify types of content (music, movies, TV, trends, ASMR, etc.).

Analyze the degree of alteration of original works (remixes, mash-ups, cuts, parodies, and more).

Summarize subjective operator assessments with consensus-based validation (majority agreement).

Tight
deadlines

10,000 videos had to be processed within 1 month.

High cost
of errors

Any mismanagement of the workflow could lead to expensive reworks.

Scalability
and optimization

Finding the right balance between speed, accuracy, and cost was a major consideration.

Results

Ahead
of schedule:

10k+

videos were processed in 3 weeks, ahead of the 1-month deadline.

Time
savings:

Only about 78% of the project’s budget was used due to an optimal approach. The client saved 22% of paid hours to use in future projects.

Accuracy
& reliability:

The consensus-based system reduced risks associated with subjective interpretation.

Data
versatility :

The client received both aggregated consensus results and individual operator responses, offering flexibility for further data use.

“Keymakr has proven that human expertise remains indispensable in large-scale data projects. Thanks to their dedication and collaborative approach, we were able to deliver the required analyses and reports on time."

Jeroen Kerkvliet, SoundAware CMO

“I truly enjoyed working with the SoundAware team. Their collaborative approach was a huge asset; they were always quick to respond and open to new ideas, which made the project feel like a genuine partnership. This level of cooperation was key to our rapid progress, and I'm very much looking forward to our next project together."

Roman Gron, Keymakr PM

This project demonstrated that subjective user-generated content can be annotated at an industrial scale without compromising quality. The applied consensus method, structured questionnaire, and flexible step-by-step data delivery enabled SoundAware to quickly obtain reliable datasets for copyright protection and monetization.

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The upside of working with Keymakr is their strategy to annotations. You are given a sample of work to correct before they begin on the big batches. This saves all parties time and...

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How Keymakr helped SoundAware with user- generated content and copyright protection