基于传统爪哇甘美兰音阶的ENSO现象初探性可听化研究

摘要

聲化（Sonification）——將數據映射為非語音音頻的技術——為表徵複雜動力系統提供了一條尚未充分探索的途徑。本文以厄爾尼諾-南方濤動（ENSO）這一低維氣候混沌的典型範例為測試對象，通過複雜系統診斷方法評估文化情境化聲化技術的應用。我們採用參數映射聲化法，將尼諾3.4區海表溫度異常指數（1870-2024）轉化為兩種爪哇傳統甘美蘭五聲音階系統（佩洛格與斯連德羅），並基於四種作曲策略編碼ENSO的變異性，繼而將生成音頻作為二維聲學相空間中的軌跡進行分析。基於遞迴的診斷、凸包幾何分析及耦合分析表明，該聲化流程保留了關鍵動力學特徵：交替模式產生的軌跡遞迴率最高，呼應ENSO的準週期性；分層複調模式探索了最廣闊的相空間區域；兩種音階體系則引發了譜亮度與能量之間截然不同的耦合機制——佩洛格以反相位為主，而斯連德羅呈現近獨立態。相空間軌跡分析為在複雜系統框架下比較聲化設計提供了嚴謹的幾何方法論。儘管感知驗證仍屬必要，本研究貢獻的動力系統方法學可為此類映射關係的評估提供新範式。

English

Sonification -- the mapping of data to non-speech audio -- offers an underexplored channel for representing complex dynamical systems. We treat El Niño-Southern Oscillation (ENSO), a canonical example of low-dimensional climate chaos, as a test case for culturally-situated sonification evaluated through complex systems diagnostics. Using parameter-mapping sonification of the Niño 3.4 sea surface temperature anomaly index (1870--2024), we encode ENSO variability into two traditional Javanese gamelan pentatonic systems (pelog and slendro) across four composition strategies, then analyze the resulting audio as trajectories in a two-dimensional acoustic phase space. Recurrence-based diagnostics, convex hull geometry, and coupling analysis reveal that the sonification pipeline preserves key dynamical signatures: alternating modes produce the highest trajectory recurrence rates, echoing ENSO's quasi-periodicity; layered polyphonic modes explore the broadest phase space regions; and the two scale families induce qualitatively distinct coupling regimes between spectral brightness and energy -- predominantly anti-phase in pelog but near-independent in slendro. Phase space trajectory analysis provides a rigorous geometric framework for comparing sonification designs within a complex systems context. Perceptual validation remains necessary; we contribute the dynamical systems methodology for evaluating such mappings.

基于传统爪哇甘美兰音阶的ENSO现象初探性可听化研究

Preliminary sonification of ENSO using traditional Javanese gamelan scales

摘要

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