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DDSP-SFX: Acoustically-guided sound effects generation with differentiable digital signal processing

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arxiv 2309.08060 v1 pith:NO6E6PFL submitted 2023-09-14 eess.AS cs.SD

classification eess.AScs.SD
keywords soundcontroldigitaleffectstimbrewhileachievesattribute
verification ladder T0 review T1 audit T2 compute T3 formal
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Controlling the variations of sound effects using neural audio synthesis models has been a difficult task. Differentiable digital signal processing (DDSP) provides a lightweight solution that achieves high-quality sound synthesis while enabling deterministic acoustic attribute control by incorporating pre-processed audio features and digital synthesizers. In this research, we introduce DDSP-SFX, a model based on the DDSP architecture capable of synthesizing high-quality sound effects while enabling users to control the timbre variations easily. We propose a transient modelling technique with higher objective evaluation scores and subjective ratings over impulsive signals (footsteps, gunshots). We propose a simple method that achieves timbre variation control while also allowing deterministic attribute control. We further qualitatively show the timbre transfer performance using voice as the guiding sound.

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  1. MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing

    cs.SD 2025-07 conditional novelty 7.0 of 10

    MixAssist is the first audio-grounded, multi-turn conversational dataset for co-creative music mixing instruction, and fine-tuning Qwen-Audio on it yields human-comparable mixing advice.

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