Signal modulation approach to data sonification

Matti Groehn; Juha Backman; Aki Haermae

doi:10.1117/12.309558

14 May 1998 Signal modulation approach to data sonification

Matti Groehn, Juha Backman, Aki Haermae

Proceedings Volume 3298, Visual Data Exploration and Analysis V; (1998) https://doi.org/10.1117/12.309558
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

The human ear has a remarkable ability to detect temporal structures and patterns even in highly complex signals. Therefore, it is profitable to use the ear in data analysis especially in the cases where the amount of data is vast for any practical visualization technique. The main principle in this paper is to incorporate psychoacoustic knowledge into the system. For example, auditory frequency resolution, i.e., ERB- scale is used in mapping data values to control parameters of the system. A real time computer program with a graphical user interface where various parameters of the system can be controlled is developed. For example, the time scale is continuously adjustable and there are methods to focus on some aspects or fractions of the data. The results are promising and show that this approach has potential in sonification applications. The limitation of the modulation approach is the number of simultaneously detectable parameters.

Citation Download Citation

Matti Groehn, Juha Backman, and Aki Haermae "Signal modulation approach to data sonification", Proc. SPIE 3298, Visual Data Exploration and Analysis V, (14 May 1998); https://doi.org/10.1117/12.309558

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