Luke Miner (@Luke_Miner) profile picture

Data scientist to the stars. Recovering economist.

San Francisco, CA
Joined June 2010
Luke Miner retweeted
What do a Lite-Brite and AI have in common? Here’s source separation, explained with a children’s toy from 1967. 👇
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Luke Miner retweeted
NVIDIA's new diarizer just hit #1 on the @voicearena_ai leaderboard. So naturally, we put it in a crowded room. On 8-speaker LibriCSS, @AudioShakeAI Multi-Speaker had 52% fewer word errors than Nemotron 3 (15.4% vs. 31.9%). Put us in, coach!
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Luke Miner retweeted
Today we're releasing @AudioShakeAI Multi-Speaker 2.0: one recording of several people talking goes in, a clean labeled track per person comes out — including the moments they talk over each other.
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Luke Miner retweeted
"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-tm…
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Luke Miner retweeted
Launching today: Dialogue RT, AudioShake's real-time dialogue isolation model. 11ms end-to-end latency. The first AI dialogue isolation model built for live broadcast, sports audio, and captioning pipelines that can't wait for post-production. SDK available now.
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Our Series A was just the headline — this is the story. The @AudioShakeAI team is what makes it all possible: researchers, engineers & creatives working to make the world’s sound more usable for humans and machines. We’re just getting started. → audioshake.ai/post/series-a-…
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What is AudioShake? Why did we raise $14M? And what happens next? 👀Who better to tell you than CEO @themoko
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🎵 Big news: AudioShake raises $14M Series A to make the world’s audio editable, searchable, and programmable.
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New paper from our Research team ahead of #ISMIR2024 (@cifkao @h_schreiber @faroit @Luke_Miner) evaluates our new lyrics transcription benchmark (🧵) on several transcription systems.
"Lyrics Transcription for Humans", accepted to #ISMIR2024, is now online: arxiv.org/abs/2408.06370 We evaluated more models (Whisper v3, OWSM v3.1, @AudioShake v3) on our benchmark and included plots detailing what kinds of errors different models make on lyrics transcription. 🧵
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In Deer Valley, @audioshakeai CEO @themoko spoke to @KPMG_US #KPMGTechandInnovation24 #Innovation audience on the #futureofaudio and what is possible when we can separate and access the different components of #sound.
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See you at @ISMIRConf 2024! @AudioShakeAI 's Research team will present its research on lyrics transcription in San Francisco in November.
Looking forward to presenting our lyrics transcription benchmark at #ISMIR2024 in San Francisco! Our paper grew from last year's LBD to a full paper with more results, which has now been accepted, so stay tuned! audioshake.github.io/jam-alt…
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One for me and everyone else thinking they were singing about Mike Pence setting fire to the stage
We can't stop listening, we were also making up the words until now. Here's a little lyric video for those who need it.
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Replying to @Channel4News
It was a little hard to hear – so we fixed it for you @Channel4News!
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After an unreleased performance of the Tomasz Stanko Quintet was found, @AstigmaticRec turned to AudioShake to create stems of the 50-year-old recording. More on our work helping to master this radio broadcast turned vinyl album, “Wooden Music II”: audioshake.ai/post/astigmati…
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Our paper on lyrics transcription evaluation is on arXiv with updated and extended results (including Whisper v3)! 📄 arxiv.org/abs/2311.13987 Also, the benchmark is now on @paperswithcode: 🏆 paperswithcode.com/dataset/j… 👏 @faroit @h_schreiber @Luke_Miner @cnst_ant @AudioShakeAI
This month at #ISMIR2023, AudioShake’s Research team presented a new benchmark for automatic lyric transcription systems– one that accounts for the nuances of music. You can read more on their new paper on AudioShake: audioshake.ai/post/new-bench…
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AudioShake stems power AI lyric transcription! With our industry-leading vocal stem separation, we can now transcribe and align lyrics in seconds, utilizing nothing more than the original recording as an input. Read more: medium.com/audioshake/introd…
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lol who did this
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Since we know what's "inside" a piece of music, we thought it'd be fun to create a music video directed by…the music! We fed the song and album cover for the classic "Undone" by @weezer, to our AI, letting the guitar and other audio elements decide what happens to the images
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help launch meta-science @JPAL w/ me and the incomparable Heidi Williams povertyactionlab.org/careers…
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