Kymatio ретвитнул
Kymatio
108 posts
Kymatio
@KymatioWavelets
Open-source Python library for wavelet scattering transforms.
École normale supérieure, Pari Присоединился Kasım 2018
56 Подписки213 Подписчики
Kymatio ретвитнул
The Music Cognition Group is excited to welcome Dr. @lostanlen for a captivating talk on music signal processing next week @UvA_Amsterdam. Really glad our connection from Timbre 2023 has evolved into collaboration! Check out the poster for more details! #musicscience
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Kymatio ретвитнул
#ISMIR2023 final credits
Gotta hand it to @cyrusasfa and @frozenmango for turning ten years of research on time–frequency scattering into a series of Colab notebooks that anyone can use.
Thanks to all the attendees. I was very pleased with the turnout, up until 6pm!
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Kymatio ретвитнул
If you're attending ISMIR and curious about wavelet transforms applied to audio, come check out our tutorial on Sunday afternoon! 🌊🌊🌊
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Kymatio ретвитнул
"Mesostructures: Beyond Spectrogram Loss in Differentiable Time–Frequency Analysis" is out!
with @cyrusasfa, Han Han, @Tsingmoon, Mathieu Lagrange, and Gÿorgy Fazekas
made with @KymatioWavelets
Kazunobu KONDO@tashinkk
The JAES special issue has been published! I'm honored by working with great DAFx researchers as a guest editor. Special Issue on New Trends in Audio Effects II aes.org/journal/online…
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Kymatio ретвитнул
PhD for hire!
"Theory and implementation of multi-resolution neural networks"
with applications to #audio #AI
at @LaboLS2N (Nantes🦀)
in partnership with @ari_oeaw (Vienna 🎻)
duration: 3 years
funding: @AgenceRecherche
start date: negotiable
audio.ls2n.fr/2023/07/11/phd…
Vincent Lostanlen@lostanlen
I am hiring PhD students at @LaboLS2N 🦀 and @Ircam 🪗 on 🦀 resource-efficient deep learning in the raw waveform 🪗 birdsong synthesis with DDSP 🦀 sustainable design of autonomous bioacoustic sensors 🪗 generative models for auditory well-being Please share! #audio #AI
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At #ISMIR2023? Join our tutorial
"Deep Learning meets Wavelet Theory for Music Signal Processing"
by @cyrusasfa, @lostanlen, and Ch. Micheltree
#6-kymatio-deep-learning-meets-wavelet-theory-for-music-signal-processing" target="_blank" rel="nofollow noopener">ismir2023.ismir.net/tutorials/#6-k…
On Sunday, Nov. 5, afternoon 🌊
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@BillBainbridge5 @cyrus_vahidi @dafx2020 @lostanlen @Tsingmoon @c4dm @CDT_AI_Music @LaboLS2N That's right :)
Here's an example of a 12'' record made with JTFS
Lorenzo Senni "XAllegroX" remixed by Florian Hecker
bleep.com/release/103773…
out now on @WarpRecords
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Two papers from @LaboLS2N at @CentraleNantes presented today at two different events!
Eco-acoustics with Scattering1D and k-determinantal point processes 🐦🦗🦜
gretsi.fr/data/colloque/…
Differentiable time-frequency scattering on GPU 🎤🎛️🔊
cyrusvahidi.github.io/jtfs-gpu/
Vincent Lostanlen@lostanlen
Today in @KymatioWavelets news * Mohamed Outidrarine and Pierre Baudet present k-determinantal point processes for eco-acoustic exploration at #gretsi22 (Nancy, FR) * Han Han, @cyrus_vahidi, and @Tsingmoon get best paper award for differentiable JTFS at #dafx22 (Vienna, AT)
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@meickenberg @lostanlen @cyrus_vahidi @Tsingmoon @ScatteringSepoy @PhilipWarrick Joint Time Frequency Scattering is just around the corner 👀
twitter.com/cyrus_vahidi/s…
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Thanks to all our contributors!
@meickenberg @lostanlen @cyrus_vahidi @Tsingmoon @ScatteringSepoy @PhilipWarrick and many more not on Twitter
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Kymatio ретвитнул
I am looking for a PhD student in MIR! 🎓
to work on self-supervised learning in multitrack music
You will be employed by @Deezer Research
co-advised by R. Hennequin + me
based in Paris 🪗 and visiting my lab in Nantes 🦀
Start: Dec. 2022☃️ or later
deezerjobs.com/fr/postes/post…
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@ScatteringSepoy Invented by @StephaneMallat and developed by notables such as @joanbruna, @laurentsifre,Irène Waldspurger... and the @KymatioWavelets team 🎉
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The hope is that this machine would run only our benchmarks when scheduled and that hardware changes would be few to zero over large scales of time.
Having access to this would accelerate Kymatio development, which would accelerate research in signal processing. 4/4
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