Music and Dance
Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research
Mitsuko Aramaki, Olivier Derrien, Richard Kronland-Martinet, Sølvi Ystad
The sounds of geological phenomena are generally noise. Wind, glaciers, oceans, streams, and other geological sounds present a vast content of frequencies that often obscures individual pitches or groups of pitches. However, noise varies from sound to sound with different pitch predominance and patterns. This variance contributes to the signature that makes several noise-sounds unique. In this study, the sound of one of the geysers in the Geysir system of the Haukadalur valley, 180 miles Northeast of Reykjavik, Iceland, is recorded and analyzed in multiple time segments, each with its own pitch predominance and, therefore, signature. The analysis is further adapted into a piece for seven spatialized pianists and electronics titled Geysir, which features the amplitude and predominant pitch class fluctuations throughout the geyser sample. This paper reports the process of the analysis and the compositional applications of the pitch class predominance analysis.
Music Transcription, Mapping, Sonification, Ecoacoustics, Data Analysis, Algorithmic Composition, Music Information Retrieval
Christopher Luna-Mega and Jon Gomez. "Geysir: musical translation of geological noise" Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (2019): 712-724.
© 2019 The authors.