An Octave-based Multi-Resolution CQT Architecture for Diffusion-based Audio Generation

Maurício do V. M. da Costa; Eloi Moliner

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arXiv · 2509.16603

An Octave-based Multi-Resolution CQT Architecture for Diffusion-based Audio Generation

Maurício do V. M. da Costa·Eloi Moliner

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Abstract

This paper introduces MR-CQTdiff, a novel neural-network architecture for diffusion-based audio generation that leverages a multi-resolution Constant-$Q$ Transform (C$Q$T). The proposed architecture employs an efficient, invertible CQT framework that adjusts the time-frequency resolution on an octave-by-octave basis. This design addresses the issue of low temporal resolution at lower frequencies, enabling more flexible and expressive audio generation. We conduct an evaluation using the Fr\'echet Audio Distance (FAD) metric across various architectures and two datasets. Experimental results demonstrate that MR-CQTdiff achieves state-of-the-art audio quality, outperforming competing architectures.

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BibTeX RIS

Maurício do V. M. da Costa, Eloi Moliner. 2025-09-20. An Octave-based Multi-Resolution CQT Architecture for Diffusion-based Audio Generation. https://arxiv.org/abs/2509.16603

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