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:
https://t.co/SL8Gv03IWE
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:
https://t.co/iF9tLD3PBN
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 🔊
https://t.co/ozd4VBWs4e
📢 Extended Deadline for #L3DAS23 Challenge! We postponed the deadline for submissions: you can now submit your results along with the 2 pages paper no later than Feb. 19 @ 11.59 pm AoT
Registrations for the #L3DAS23 Challenge are now closed! From now on, participants can submit their results following the information provided on https://t.co/TJ7a4Y4yDz
The deadline for submissions is Feb. 15, 11:59 pm AoE.
We look forward to seeing your results!
Did you know? One of the organizers of the #L3DAS23 Challenge, @changanvr, worked on the amazing #SoundSpaces2 simulation platform (https://t.co/OPhJwIH1Vq), that we also used to extend our dataset from the 3D audio-only to the audio-visual context
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:
https://t.co/eUxuaSQN9d
We look forward to seeing your results now! 🤩🎯
@ieeeICASSP@IEEEsps
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:
https://t.co/eUxuaSQfjF
@ieeeICASSP@IEEEsps
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 👇👇
https://t.co/kQpyYOdiuk
@ieeeICASSP
💥💥Challenge deadlines have been extended!!💥💥
Check out the complete timeline, registrations will still be open until January 5th:
https://t.co/9vKmJHz0d6
The Machine Learning for 3D Audio Signal Processing (L3DAS22) Challenge aims at encouraging and fostering research on machine learning for 3D audio signal processing. Register now to participate from this link: https://t.co/19FgzkShyB
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: https://t.co/TI2zsSjPg7
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.