Research scientist at @GoogleAI working on sound separation
Joined July 2011
- Tweets 20
- Following 121
- Followers 186
- Likes 49
Photos and videos
Scott Wisdom retweeted
20 May 2025
Veo 3 is here, and in addition to better visuals, it makes noises and speaks! This was a massive effort made possible by incredible passion from the whole Veo team and the many other team enabling it to launch today.
Looking forward to seeing what others do with it!
#veo3
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Scott Wisdom retweeted
20 May 2025
Veo 3, our SOTA video generation model, has native audio generation and is absolutely mindblowing.
For filmmakers creatives, we’re combining the best of Veo, Imagen and Gemini into a new filmmaking tool called Flow.
Ready today for Google AI Pro and Ultra plan subscribers.
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Scott Wisdom retweeted
17 Jun 2024
We're sharing progress on our video-to-audio (V2A) generative technology. 🎥
It can add sound to silent clips that match the acoustics of the scene, accompany on-screen action, and more.
Here are 4 examples - turn your sound on. 🧵🔊 dpmd.ai/v2a
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Scott Wisdom retweeted
4 Oct 2023
It's so awesome to see the impact of the computational audio capabilities we developed featured in
@madebygoogle 🎉 🎉 🎉
Congrats to John Hershey, @ScottTWisdom, @PGetreuer & everyone who contributed for pioneering new computational audio capabilities in Pixel8 #MadeByGoogle
4 Oct 2023
Check out the 4 new Google Photos features coming first to Pixel 8 and 8 Pro ↓
Whether it’s noise from wind, traffic, or barking dogs, Audio Magic Eraser in Google Photos reduces distracting sounds in your video in just a few taps! 🪄
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Scott Wisdom retweeted
21 Mar 2023
Sorry it took forever (I did the editing this year...): videos of all #SANE2022 talks by @TweetRupal @mhnt1580 @ScottTWisdom @tnsainath @shinjiw_at_cmu @anoopcherian @gan_chuang are finally available!
Here's the essential binge-watching YouTube playlist👇
youtube.com/playlist?list=PL…
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Scott Wisdom retweeted
6 Oct 2022
Strong showing at #SANE2022 to learn about the latest and greatest in speech and audio research from a stellar lineup!
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Scott Wisdom retweeted
1 Oct 2022
Here is a short presentation of AudioScopeV2!📢 @ScottTWisdom and I are looking forward to discussing further about open-domain on-screen sound separation and meeting you in #ECCV2022!
webpage:google-research.github.io/so…...
arxiv:arxiv.org/abs/2207.10141
video:youtu.be/6UgcS3NdPn8
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Scott Wisdom retweeted
12 Sep 2022
Full list of speakers and talk details for #SANE2022 (Thursday 10/6, Cambridge, MA) now available! @anoopcherian @gan_chuang @mhnt1580 @TweetRupal @tnsainath @shinjiw_at_cmu @ScottTWisdom
Poster & demo submissions due 9/21.
Registration/Details: saneworkshop.org
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Scott Wisdom retweeted
22 Jul 2022
I am 😃 that we will present AudioScopeV2 at #ECCV2022! If you want to learn about improved audio-visual attention models and calibration for on-screen sound separation check our paper w. @ScottTWisdom!
project-page: google-research.github.io/so…
new dataset: github.com/google-research/s…
22 Jul 2022
``AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation. (arXiv:2207.10141v1 [cs.SD]),'' Efthymios Tzinis, Scott Wisdom, Tal Remez, John R. Hershey, ift.tt/jOrEQWR
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Distance-Based Sound Separation
abs: arxiv.org/abs/2207.00562
project page: google-research.github.io/so…
With a single nearby speaker and four distant speakers, the model improves scale-invariant signal to noise ratio by 4.4 dB for near sounds and 6.8 dB for far sounds
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Scott Wisdom retweeted
6 Jun 2022
SANE is back! Thursday, Oct. 6 in Kendall Square, Cambridge, MA.
Confirmed speakers: A. Cherian @anoopcherian, C. Gan @gan_chuang, W.-N. Hsu @mhnt1580, T. Sainath @tnsainath, S. Watanabe @shinjiw_at_cmu, S. Wisdom @ScottTWisdom.
More details: saneworkshop.org
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Scott Wisdom retweeted
22 Jan 2022
Happy to see my summer work with @ScottTWisdom, Hakan Erdogan, and John Hershey was accepted for presentation at @ieeeICASSP 2022 😊 My first ICASSP paper in the books! Immensely thankful for their mentorship. Our first version can be found on arXiv at: arxiv.org/abs/2110.10739
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Scott Wisdom retweeted
24 Jan 2022
We can learn a lot about our environment just by listening to the birds. New #GoogleAI approaches can help isolate and identify birdsongs, helping ecologists better understand food systems and forest health. 🐦
ai.googleblog.com/2022/01/se…
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Scott Wisdom retweeted
22 Oct 2021
Our paper received a #WASPAA2021 special award for *Best Audio Representation Learning Paper*: "Self-Supervised Learning from Automatically Separated Sound Scenes". 🎉🚀
paper: arxiv.org/abs/2105.02132
talk: youtu.be/Tts5vYmGwUY
slides: bit.ly/3lBjAnr
👇
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Scott Wisdom retweeted
20 Oct 2021
Our DF-Conformer paper has received the “Best Speech Enhancement Paper Award” from #WASPAA2021! Yay!!
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Scott Wisdom retweeted
12 Oct 2021
🔊Here's the video presentation of our WASPAA21 paper: "Self-Supervised Learning from Automatically Separated Sound Scenes". Work done during an internship at Google Research.
paper: arxiv.org/abs/2105.02132
video: youtu.be/Tts5vYmGwUY
slides: bit.ly/3lBjAnr
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Scott Wisdom retweeted
2 Oct 2020
🔊Happy to announce FSD50K: the new open dataset of human-labeled sound events! Over 51k Freesound audio clips, totalling over 100h of audio manually labeled using 200 classes drawn from the AudioSet Ontology.
Paper: arxiv.org/pdf/2010.00475.pdf
Dataset: doi.org/10.5281/zenodo.40604…
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Scott Wisdom retweeted
26 Sep 2020
I am thrilled to announce that our paper "Unsupervised Sound Separation using Mixtures of Mixtures" got accepted to #NeurIPS2020 as a #Spotlight paper!! 📢📢 All kudos to @ScottTWisdom and the rest of the Google guys! arxiv.org/pdf/2006.12701.pdf
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Scott Wisdom retweeted
4 Aug 2020
We are very happy to announce that all the videos of our recent #ICML2020 workshop on self-supervised learning are now publicly available at
slideslive.com/icml-2020/sel…
Thanks #ICML2020 and @SlidesLive for that!
@MILAMontreal #DeepLearning #AI #Speech #MachineLearning
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25 Jul 2020
Glad you like it, thanks for the nice summary!
16 Jul 2020
I'm a bit late posting this, but a very cool paper from Scott Wisdom and collaborators (including @ETzinis) out of Google introducing "MixIT": arxiv.org/abs/2006.12701
They tackle the problem of *unsupervised* source separation! 1/10
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