Making audio more usable for humans and machines.

San Francisco
Joined October 2019
Heading to Sacramento Tech Week? Swing by RELAY 001 tomorrow. Attendees get AudioShake credits to separate stems and work with source audio in new, creative ways. Fri 10/23 · 5–8 PM PT RSVP: luma.com/erxl3n30
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What does a Lite-Brite have to do with AI? A finished mix is one picture made of many pegs. Source separation pulls every peg of one color (vocals, dialogue, effects) onto its own board. @themoko explains 👇 audioshake.ai/post/what-is-a…
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Accessibility isn’t a someday project anymore, and that includes the archive. Captions, audio description, and dubbing all need dialogue and M&E on separate tracks. Most catalog titles only have the finished mix. We separate them, so the work can start. 👇
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Live dialogue isolation has a 9 to 15 ms window before lip-sync slips. Dialogue RT runs at 11 ms on a single Dell Pro Max with GB10. Dell wrote up how it got from an NAB demo to production: dell.com/en-us/blog/more-tha…
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Editing a film or ad and need "a song about starting over"? You can now search @audionetwork's catalog by lyrics, not just genre and mood 🎶 Built with @AudioShakeAI's lyric transcription + alignment API. Case study: audioshake.ai/case-studies/u…
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A finished mix used to mean dialogue, music and effects were fused for good. At Mix Sound for Film, Suzanne Kirkland and Stephen Oliver shared what changes when they're not: archives that can be reused, sports libraries that work across streaming, and more localized content.
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Most voice AI demos run on clean audio. Real callers interrupt, talk over each other, + put you on speaker in the car. Thanks @RimeLabs, @LilyJClifford, @BrookeHopkins (@CovalDev), Josh Burnell (@Asurion) and @ShivIndap (@Upstart) for digging into that gap with us at #SFTechWeek
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"Enormous amounts of that conversation already exist. The challenge is in turning it into usable training data." @themoko on @AudioShakeAI’s Refinery. audioshake.ai/products/refin…
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Real conversation is messy and overlapping. Most training data isn't. The Refinery splits real-world recordings into one track per speaker and scores each for quality. Hundreds of millions of minutes processed with frontier labs. audioshake.ai/products/refin…
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Most audio in the world was never recorded on separate tracks. @themoko breaks down source separation on @Dell's #ReshapingWorkflows with @LoganatDell, starting with how we pull vocals, instruments, or a single speaker out of a finished mix.
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