GANStrument: Adversarial Instrument Sound Synthesis with Pitch-Invariant Instance Conditioning | IEEE Conference Publication | IEEE Xplore

GANStrument: Adversarial Instrument Sound Synthesis with Pitch-Invariant Instance Conditioning


Abstract:

We propose GANStrument, a generative adversarial model for instrument sound synthesis. Given a one-shot sound as input, it is able to generate pitched instrument sounds t...Show More

Abstract:

We propose GANStrument, a generative adversarial model for instrument sound synthesis. Given a one-shot sound as input, it is able to generate pitched instrument sounds that reflect the timbre of the input within an interactive time. By exploiting instance conditioning, GANStrument achieves better fidelity and diversity of synthesized sounds and generalization ability to various inputs. In addition, we introduce an adversarial training scheme for a pitch-invariant feature extractor that significantly improves the pitch accuracy and timbre consistency. Experimental results show that GANStrument outperforms strong baselines that do not use instance conditioning in terms of generation quality and input editability. Qualitative examples are available online1.
Date of Conference: 04-10 June 2023
Date Added to IEEE Xplore: 05 May 2023
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Conference Location: Rhodes Island, Greece

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