Telos Alliance integrates AudioShake AI for automated sound separation in AudioTools
Telos Alliance has integrated AudioShake's AI-based sound-separation technology into its Minnetonka Audio AudioTools Server. The new subscription module allows broadcasters and streaming providers to isolate dialogue, music, and effects from existing audio mixes for localization, rights management, and remastering workflows.
Key Takeaways
- Subscription module supports processing for up to 40 hours of input content per month per license.
- Enables the extraction of clean music-and-effects (M&E) tracks from finished program audio without original multitracks.
- Integrated directly into AudioTools Server for automated file-based workflows alongside loudness control and transcoding.
- Targeted at solving localization and music licensing hurdles for legacy content libraries.
Why It Matters
This integration provides a scalable solution for content owners struggling to monetize deep libraries where original multitrack stems are missing. By automating the extraction of dialogue and music from flattened mixes, broadcasters can rapidly adapt assets for international dubbing or replace unlicensed tracks without manual editorial intervention. As the streaming market shifts toward global distribution, the ability to 'unlock' legacy archives for new regions becomes a significant revenue driver. Watch for whether this automated 'stemming' becomes a standard requirement in Media Asset Management (MAM) systems to handle high-volume content ingestion for FAST channels.
Additional Context
The partnership follows a period of rapid institutional validation for AudioShake, which was selected for the 2024 Disney Accelerator and secured a $14 million Series A round in late 2025 led by investors including Universal Music Group and Thomson Reuters Ventures, per Tracxn and TechMBW reports. This funding has allowed the startup to refine its non-generative models, which focus on structural extraction rather than content creation—a critical distinction for media enterprises concerned with copyright integrity and technical accuracy. At AWS re:Invent 2025, AudioShake was featured in the opening keynote to demonstrate its ability to isolate multi-speaker dialogue and remove copyrighted background music at production scale. Broadly, the market for AI-powered audio source separation is projected to grow from $1.8 billion in 2025 to $2.34 billion by the end of 2026, according to Research and Markets. This expansion is increasingly driven by demand from the broadcasting and OTT sectors, where localization time-to-market is a competitive differentiator. Competitors in the space are also consolidating features; for example, Gaudio Lab introduced Gaudio Studio Pro in August 2025, which similarly combines source separation with automated cue sheet generation and dubbing tools. As hardware remains a dominant force in broadcasting solutions—estimated to hold a nearly 58% market share in 2026 per Accio—the integration of such AI software into established server environments like those of Telos Alliance represents a shift toward software-defined infrastructure that prioritizes agility in audio post-production.
Read full article at tmbroadcast.com
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