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Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit

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arxiv 2110.13323 v2 pith:TVXKXJHL submitted 2021-10-25 cs.SD cs.LGeess.AS

classification cs.SDcs.LGeess.AS
keywords audacitydeepend-userslearningneuralsoftwareamountartist
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We present a software framework that integrates neural networks into the popular open-source audio editing software, Audacity, with a minimal amount of developer effort. In this paper, we showcase some example use cases for both end-users and neural network developers. We hope that this work fosters a new level of interactivity between deep learning practitioners and end-users.

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  1. Local deployment of large-scale music AI models on commodity hardware

    cs.SD 2024-11 conditional novelty 5.0 of 10

    The authors port the Anticipatory Music Transformer to MLC and WebLLM, run it in a browser, and measure faster-than-real-time MIDI generation on Apple silicon.

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