A DDSP Framework for Adaptive Room Equalization

F. Marcos-Macias; M. P. Daza-Llin; M. Camara; J. L. Blanco

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arXiv · 2606.22563

A DDSP Framework for Adaptive Room Equalization

F. Marcos-Macias·M. P. Daza-Llin·M. Camara·J. L. Blanco

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Abstract

Adaptive room equalization remains challenging under time-varying acoustic conditions and complex excitation signals, such as music. In these scenarios, classical filtered-x least mean squares (Fx-LMS) methods falter due to their rigid formulation. We present a modular differentiable digital signal processing (DDSP) framework for closed-loop adaptive room equalization that recovers Fx-LMS as a special case through automatic differentiation. The framework supports interchangeable EQ structures, response estimation methods, loss functions, and optimizers. Experiments with time-varying measured room impulse responses show that frequency-domain objectives provide more stable adaptation than time-domain objectives in the considered scenarios. Relative to the non-equalized response, system distance is reduced by 70% and mel-spectral distance by 13% (worst-case scenario). We further examine how online room response estimation accuracy and frame length affect the trade-off between responsiveness and convergence stability. Overall, the framework provides a unified open-source basis for exploring synergies between classical adaptive filtering and DDSP-based optimization.

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F. Marcos-Macias, M. P. Daza-Llin, M. Camara, J. L. Blanco. 2026-06-21. A DDSP Framework for Adaptive Room Equalization. https://arxiv.org/abs/2606.22563

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