SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model

ICLR 2025 Conference Submission35 Authors

Keywords: Sound Morphing, Perceptual Consistency, Diffusion Model

TL;DR: A open world sound morphing method produces perceptually uniform morphing by explicitly connecting morph factor and perceptal stimuli of morphed results.

Abstract: We present SoundMorpher, a sound morphing method that generates perceptually uniform morphing trajectories using a diffusion model. Traditional sound morphing methods models the intractable relationship between morph factor and perception of the stimuli for resulting sounds under a linear assumption, which oversimplifies the complex nature of sound perception and limits their morph quality. In contrast, SoundMorpher explores an explicit proportional mapping between the morph factor and the perceptual stimuli of morphed sounds based on Mel-spectrogram. This approach enables smoother transitions between intermediate sounds and ensures perceptually consistent transformations, which can be easily extended to diverse sound morphing tasks. Furthermore, we present a set of quantitative metrics to comprehensively assess sound morphing systems based on three objective criteria, namely, correspondence, perceptual intermediateness, and smoothness. We provide extensive experiments to demonstrate the effectiveness and versatility of SoundMorpher in real-world scenarios, highlighting its potential impact on various applications such as creative music composition, film post-production and interactive audio technologies.

Primary Area: applications to computer vision, audio, language, and other modalities

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Submission Number: 35