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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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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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
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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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@mhnt1580 @adiyossLC @TalRemez @BowenSh08204149 @_JacobDonley Very cool work! Consider participating in the speech enhancement track of the L3DAS Challenge at ICASSP 2023:
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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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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
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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:
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@ieeeICASSP @dhan90001 There is still time until January 5th to register to the L3DAS22 Challenge! Check out our website for the compete timeline: #machinelearning #3Daudio #signalprocessing
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RT @ieeeICASSP: The Machine Learning for 3D Audio Signal Processing (L3DAS22) Challenge aims at encouraging and fostering research on machi…
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Yes, we are there too!! 🤩
The ICASSP 2022 Grand Challenge Committee are pleased to announce the following Grand Challenges. Click on a session title to visit the challenge's website:
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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
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