jessica powell

I have no idea how this happened but...so excited and proud of our team!!! Audio nerds unite!

@thm_a Where were you last month when I needed exactly this!?!? Very cool

@themoko check this out ;) i think you'll find this interesting

[AI x Music] Throw in your mp3 or wav file and get all the notes for each instrument. This is a really fun little thing I've made with friends over at @MireloAI and @kyutai_labs and that we just launched today. Check it out at mirelo.ai/models/audio-t…

More about @AudioShakeAI 's Speech Recovery Models: audioshake.ai/post/introduci…

When the recording is the only copy that exists, you can't let a tool guess. Suppression smears the words. Generative enhancement invents them. So @AudioShakeAI built Speech Recovery to do neither — it isolates the speech that's actually there, and adds nothing.

1. Music detection. 2. Music removal (yes---removing music, including with song lyrics--from a mixed media file) 3. Music rights identification 4. Cue sheet creation A great, practical example of source separation applied to a real-world problem!

There is so much media & archives blocked from streaming & social platforms bc of copyright compliance. Distribution demand has multiplied, and the compliance workflows underneath it have not. Today we're launching the system that closes that gap. tinyurl.com/2nyduuy9

CEO @themoko on the distinction that keeps coming up: @AudioShakeAI isn't generative AI — and why that matters more for media + entertainment workflows in 2026 than it did even a year ago.

Full story here: audioshake.ai/post/how-espn-…

This work started through the @DisneyAccelerator, where we met the ESPN team. In the name of hot dog eating contests, slippery stairs races, and cornhole championships, onwards! 7/7

Today we're sharing our work with ESPN. I wanted to share what we've been building together — and how it involves T-Rex races, competitive sign spinning, and....Phil Simms! 1/7

"I'm going to Disney World" is almost synonymous with winning the @SuperBowl. @ESPN wanted the original Phil Simms clip for their 2026 ad — but the music was baked in. We pulled his voice from the mix. Watch: youtube.com/watch?v=w1l3z-…

Dialogue RT runs at 11ms end-to-end — the first AI dialogue isolation model to meet live broadcast latency requirements. Built for environments where the audio arrives messy and the pipeline can't wait!

Suppression attenuates unwanted sound within a mixed signal. Isolation extracts speech as its own signal, removing everything else. The result is a cleaner stem and independent control over dialogue & the rest of the mix — crowd, PA, ambient sound, etc. No guessing. No bleed.

@AudioShakeAI has just launched Dialogue RT — our real-time dialogue isolation model for live broadcast. Audio separation has always been about quality. This is about quality AND speed. A thread on why that matters and what we built. 🧵

Don't miss this free talk at SF Music Week on Friday 🎶 @AudioShakeAI Founder + CEO @themoko will be on stage at #SFMusicWeek for "Innovation and the Technology Shaping the Future of Music" alongside incredible minds from @noisepop, @chartmetric, @splashmusicco, + @sonos 🎼