This paper summarises the latest work I did at Dolby. We study a single general audio source separation (GASS) model trained to separate speech, music, and sound events in a supervised fashion with a large-scale dataset.

Check it on arXiv and listen to our demos!

This year I was at EUSIPCO to present the paper that wraps up our work on upsampling artifacts. In the following website you have a summary of our work, including a video “for dummies” with the main ideas:

http://jordipons.me/apps/upsamplers/

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In this work lead by Joan, we explore the use of generative models that operate on top of a parametric stereo domain to generate plausible stereo samples from mono audio signals.

Check it on arXiv!

This paper is the result of Herman’s internship at Dolby. In this work we explore the feasibility of training a text-to-audio synthesis model without text-to-audio pairs.

Check it out on arXiv and listen to our demo!