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What if we had a way to remove audio effects from a signal? It may seem a bit strange at first, but Johannes I. of AudioShake shows some compelling use cases for removing effects, as well as how he pulled it off for his internship at Sony. youtu.be/O0dMfcHkiJI

InstrumentGen: Generating Sample-Based Musical Instruments From Text Introduces the task of text-to-instrument. By leveraging components of MusicGen, Descript Audio Codec, and CLAP they propose a model for this task. abs: arxiv.org/abs/2311.04339 web: instrumentgen.netlify.app

GRAFX is an open-source library for audio graphs in PyTorch. Audio processing can be efficiently done on GPU with batched processing and various differentiable audio effects, including a multitap delay and zero-phase EQ Great work by @SunghoL10754073 ! github.com/sh-lee97/grafx

AFX-Research: an Extensive and Flexible Repository of Research about Audio Effects All the research on audio effects of the last few decades. A table with lots of metadata. Search. Filter. Order. Contribute. repo: github.com/mcomunita/AFX-… web: mcomunita.github.io/AFX-Research

``FINALLY: fast and universal speech enhancement with studio-like quality,'' Nicholas Babaev, Kirill Tamogashev, Azat Saginbaev, Ivan Shchekotov, Hanbin Bae, Hosang Sung, WonJun Lee, Hoon-Young Cho, Pavel Andreev, ift.tt/RWPXAVt

✨ Train language models directly on continuous data - without tokenization ✨ We propose an easy way to train GPT-style autoregressive models on continuous data, without error accumulation. We test it on audio 🔊, but this method can easily work with other modalities 🎆 👇🧵

new paper! 🗣️Sketch2Sound💥 Sketch2Sound can create sounds from sonic imitations (i.e., a vocal imitation or a reference sound) via interpretable, time-varying control signals. paper: arxiv.org/abs/2412.08550 web: hugofloresgarcia.art/sketch2sound