
L3DAS
@das_l3
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The L3DAS project aims at providing new 3D audio datasets and encouraging the proliferation of new deep learning methods for 3D audio analysis
Rome, Italy
Joined March 2021
We are 🤩excited🤩 to introduce the #L3DAS project (LEARNING 3D AUDIO SOURCES), which aims at providing new 3D #audio #datasets and software toolkits for the development of #DeepLearning algorithms for 3D audio 🎤🎧🎼. Visit our website to learn more:.
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We are glad to propose the Special Session "L3DAS24: Computational Processing for 3D Audio Sources" at the @ieeecis IEEE #WCCI2024, Yokohama, Japan, Jun 30 - July 5, 2024. Paper submission deadline is January 15, 2024. Further information, on:.
l3das.com
L3DAS23 is the latest challenge focusing on 3D audio presented at ICASSP 2023
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The session on the #L3DAS23 Challenge (GC-10) at #ICASSP2023 is starting in about an hour. Join us at Nefeli B, 8:15, and meet the challenge winners 🥇and everyone who contributed to this edition of L3DAS 🔊.
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Registrations for the #L3DAS23 Challenge are now closed! From now on, participants can submit their results following the information provided on The deadline for submissions is Feb. 15, 11:59 pm AoE. We look forward to seeing your results!.
l3das.com
The L3DAS project aims at providing new 3D audio datasets and software toolkits for the development of deep learning algorithms.
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Did you know? One of the organizers of the #L3DAS23 Challenge, @changan_vr, worked on the amazing #SoundSpaces2 simulation platform (, that we also used to extend our dataset from the 3D audio-only to the audio-visual context.
soundspaces.org
Moving towards embodied agents that can move around and understand the space with visual and auditory perception ---
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The baseline models for the L3DAS23 #Challenge at #ICASSP2023 have been uploaded to the L3DAS repository. All the details can be found on the L3DAS website:. We look forward to seeing your results now! 🤩🎯. @ieeeICASSP.@IEEEsps.
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We are thrilled to announce the 3rd edition of the L3DAS CHALLENGE on learning #3Daudio sources for #extendedreality at #ICASSP2023 🤯🤩🎧.Check out the challenge website for further details:. @ieeeICASSP.@IEEEsps
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@ieeeICASSP @IEEEsps The session includes 6 papers, which can be accessed for free as any ICASSP paper on IEEE Xplore until 28 May 2022.
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Excited to present the L3DAS22 Challenge tomorrow at #ICASSP2022. Check out our virtual session and join us for a discussion on #machinelearning for #3Daudio 🎧😃. @ieeeICASSP @IEEEsps.
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A preprint of the paper on the L3DAS22 Challenge is available on arXiv 🤓.@ieeeICASSP #ICASSP2022 #L3DAS.
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment.by Eric Guizzo et al. including @XiguangZheng, @dhan90001.#MachineLearning #ComputerScience.
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The results of the L3DAS22 Challenge have been published!!! 🎉🎉🏆. We are delighted to have received registrations from 46 teams and 24 submissions 🤩🤯 We warmly thank all the participants 🙏👏👏 . Here is a report on results and awards 👇👇.@ieeeICASSP.
l3das.com
The L3DAS project aims at providing new 3D audio datasets and software toolkits for the development of deep learning algorithms.
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RT @dhan90001: We are looking for a 12-month research fellow on #deeplearning for #compressedsensing (#audio, #biomedical, and/or #image ap….
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💥💥Challenge deadlines have been extended!!💥💥.Check out the complete timeline, registrations will still be open until January 5th:.
l3das.com
The L3DAS project aims at providing new 3D audio datasets and software toolkits for the development of deep learning algorithms.
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RT @ieeeICASSP: The Machine Learning for 3D Audio Signal Processing (L3DAS22) Challenge aims at encouraging and fostering research on machi….
l3das.com
The L3DAS project aims at providing new 3D audio datasets and software toolkits for the development of deep learning algorithms.
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Don't miss this opportunity, there is still time to register to L3DAS22 CHALLENGE. Check out more on our website:. @ieeeICASSP.@IEEEsps.#machinelearning #3Daudio #challenge #awards #audioAI #spatialsound #DeepLearning.
l3das.com
The L3DAS project aims at providing new 3D audio datasets and software toolkits for the development of deep learning algorithms.
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The L3DAS22 CHALLENGE has exciting benefits 🤩🤙.- All the participants can upload an interactive demo of their models on @replicateai. - Top 5 ranked teams can submit a regular paper to #ICASSP2022. - Prizes will be awarded to the challenge winners thanks to @KuaishouVideos.
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We are glad to announce the 2nd edition of the L3DAS CHALLENGE on #machinelearning for #3Daudio at IEEE #ICASSP2022 🤯🤩🎧.Check out the challenge website for further details on tasks, datasets and instructions to participate:. @ieeeICASSP .@IEEEsps.
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