A computational framework for the acoustic characterization of Suikinkutsu (water harp cave)

2026-10-08

AI Summary

This study addresses the scarcity of computational methods for analyzing and comparing the acoustic characteristics of suikinkutsu by proposing a systematic analytical framework. Integrating audio feature extraction techniques—including Fast Fourier Transform (FFT), Mel-Frequency Cepstral Coefficients (MFCC), Root Mean Square (RMS) energy, and spectral centroid—this framework quantitatively characterizes and comparatively evaluates the acoustic profiles of suikinkutsu across different sites along both spectral and temporal dimensions. The analysis confirms that each suikinkutsu exhibits a distinct acoustic signature that clearly reflects bounded resonance behavior. By establishing a reusable methodological foundation for the quantitative analysis of suikinkutsu acoustics, this work bridges a critical gap in computational research within this domain.

Abstract

Suikinkutsu are partially concealed acoustic devices traditionally installed adjacent to stone water basins (tsukubai) in Japanese temple gardens. While previous research has examined their physical acoustics and cultural significance, computational methods for documenting and comparing their acoustic characteristics remain underexplored. This exploratory study introduces a computational framework for analyzing suikinkutsu using spectral and temporal audio features extracted from field recordings. Rather than estimating the physical geometry of individual suikinkutsu, the framework characterizes their acoustic profiles using a multidimensional set of computational descriptors, enabling systematic comparisons between recordings across different sites and installations. Audio recordings from nine suikinkutsu located at temples, shrines, and gardens in the Kansai region of Japan were analyzed using a feature-extraction pipeline that incorporates Fast Fourier Transform (FFT), Mel-Frequency Cepstral Coefficients (MFCCs), Root Mean Square (RMS) energy, spectral centroid, spectral bandwidth, and spectral contrast. The extracted features indicate that, although the suikinkutsu share broadly similar spectral and timbral characteristics, each exhibits a measurably distinct acoustic profile; a supplementary analysis of within-site and between-site variability suggests these profiles reflect a bounded range of characteristic resonant behaviour rather than a fixed acoustic signature. The proposed framework provides one of the first computational approaches for systematically characterizing and comparing suikinkutsu, contributing a practical foundation for future research and the digital preservation of this distinctive form of Japanese environmental design.

Problem

• Suikinkutsu
• acoustic characterization
• computational framework
• audio feature extraction
• digital preservation

Innovation

• Acoustic characterization
• Computational framework
• Feature extraction
• MFCCs
• Digital preservation