NASH: Pre-Hackathon Workshop

A special workshop in advance of NASH: the Neural Audio Synthesis Hackathon, in which we'll hear from FIVE exciting researchers and artists!

QMUL's Special Interest Group on Neural Audio Synthesis (SIGNAS) are pleased to announce that we’ll be hosting a special workshop in advance of our upcoming hackathon.We'll be hearing from exciting members of the neural audio synthesis and audio research communities, who will give tutorials on tools they have developed, or the tools they use in their work. The talk is open to anyone who is interested, and hackathon attendees are particularly encouraged to join in.We’ll be hearing from:<ul><li>Hugo Flores Garcia (Interactive Audio Lab @ Northwestern) about Deep Learning Tools for Audacity</li><li>Dadabots about setting up SampleRNN for neural audio synthesis</li><li>Ilaria Manco (C4DM @ QMUL) about Word2Wave</li><li>Moisés Horta aka Hexorcismos (Electronic Musician &amp; Sonic Artist) about his work with MelSpecVAE</li><li>Antoine Caillon (ACIDS @ IRCAM) about RAVE: the real-time audio VAE</li></ul>Further details on talks can be found at the bottom of this description.Timing and detailsThe workshop will take place online on the 12th December at 16:00 UTC and will last roughly 2 hours. Joining details can be found by registering for a free ticket.As always, keep checking back to the NASH website for info and updates: https://signas-qmul.github.io/nash/Talk descriptionsHugo Flores GarciaIn this talk, provide a software framework that lets deep learning practitioners easily integrate their own PyTorch models into Audacity, a free and open-source DAW. This creates a pipeline for ML audio researchers and developers to put tools in the hands of artistic creators without the need to do DAW-specific development work, without having to learn how to create a VST plugin, and without having to maintain a server to deploy their models. We hope that this work fosters a new level of interactivity between deep learning practitioners and end-users.DadabotsDadabots — the team behind the 24/7 death metal generator youtube livestream — shares their journey into neural synthesis, from R&amp;D to the mosh pit, collabing with musicians in styles like beatbox, mathcore, black metal, breakcore, free jazz, and trap.Ilaria MancoText-controlled interfaces have become widely popular in image generation thanks to impressive progress in visio-linguistic representation learning. Can neural audio synthesis techniques be similarly adapted to allow for text-based control? In this talk, we explore one of the many ways to attempt this through Word2Wave, a simple text-to-audio generation method which combines a WaveGAN generator and a pre-trained audio-text embedding model.HexorcismosIn this short tutorial, we will learn how to train and generate from MelSpecVAE, a Variational Autoencoder working in the mel-spectrogram domain. This algorithm allows for the synthesis of short sounds, as well as the synthesis of 'in between' sounds using interpolation through the models latent space. The short tutorial will be focused on the pre-existing Google Colab notebook and will give a small introduction on VAE's for sound synthesis.Antoine Caillon<ul><li>Latent models for sound design and musical creation</li><li>Presentation of the RAVE model: main characteristics, applications</li><li>Presentation of the pretrained RAVE models made available for NASH</li></ul>

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NASH: Pre-Hackathon Workshop

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