Daniel Arteaga (@dnlrtg.bsky.social)

I have decided to stop using Twitter/X. From now on you can find me in Bluesky (@dnlrtg.bsky.social): bsky.app/profile/dnlrtg…

In Dolby Barcelona we are offering an award for outstanding scientific papers in sound research. More info in Bluesky: bsky.app/profile/dnlrtg…

We offer an internship position in our lab in Barcelona. More details in Bluesky: bsky.app/profile/dnlrtg…

@hacihabiboglu Thanks!

Presenting the Universal Spatial Audio Transcoder this afternoon in AES Madrid. #AESeurope

I almost fully agree with @geoffreyhinton's interview, though I think AI's chance of surpassing human intelligence in the next 20 years is much lower than 50%. However, regardless of whether the probability is 50% or 0.1%, the risk exists and needs to be studied and prevented.

Here are some usecases: - Ambisonics decoding to arbitrary irregular layouts - Transcoding multichannel to Ambisonics - Decoding multichannel to arbitrary irregular layout. - Decoding object-based formats to arbitrary irregular layouts -...

We relased the open-source implementation of USAT on GitHub. Check out the code to optimize audio conversion for various formats and speaker layouts based on the optimization of a cost function with psycho-acoustic grounds. Check it out: github.com/DolbyLaborator…

Check out our latest paper on the Universal Spatial Audio Transcoder (USAT). We tackle the conversion & decoding of spatial audio formats, based on psycho-acoustic principles. USAT method adapts to any input/output format & speaker layout. Paper: arxiv.org/abs/2405.04471

Come work with us! linkedin.com/jobs/view/3882…

@serrjoa I very much enjoyed the high level abstractions of Keras 1 on top of Tensorflow/Theano at the time. Don't like neither Lighting nor Keras 2.x because the wat they mix high and low level code in ways they are not easily distinguishible. Willing to try Keras 3 (multi model again)

Which framework should I adopt? I'm getting tired of the one I've been using in the latest years.

Happy to share results of the Dolby Barcelona Scientific Paper Award 2023! This year, we were impressed by the quality of submissions, so we recognized not only the main winner but also present a runner-up prize. Both winning papers delve into the realm of AI in sound.

For more details about the winners and their papers, check out the Award webpage: professional.dolby.com/legal/barcelon…

Pablo's paper investigates using transformer models for music representation learning in supervised settings. Pablo and his coauthors show that it is possible to obtain better performance than with convolutional models trained in the same data. Code -> github.com/palonso/MAEST/

Proud to have been a small part of it since ImmSound's times, more than 10 years ago.

Reminder that the deadline for the submission to the Paper Award is 15th Jan (Monday next week). Make sure to submit your entry before the cutoff date!