A signal modulation approach to data sonification

Matti Gröhn; Juha Backman; Aki Härmä

doi:10.1117/12.309558

A signal modulation approach to data sonification

Matti Gröhn^*, Juha Backman, Aki Härmä

^*Corresponding author for this work

Research output: Contribution to journal › Conference article in journal › Academic › peer-review

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.

Original language	English
Pages (from-to)	53-62
Number of pages	10
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3298
DOIs	https://doi.org/10.1117/12.309558
Publication status	Published - 1998
Externally published	Yes
Event	Visual Data Exploration and Analysis V - San Jose, CA, United States Duration: 26 Jan 1998 → 27 Jan 1998

Keywords

Data analysis
Psychoacoustics
Sonification

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10.1117/12.309558

Cite this

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title = "A signal modulation approach to data sonification",

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.",

keywords = "Data analysis, Psychoacoustics, Sonification",

author = "Matti Gr{\"o}hn and Juha Backman and Aki H{\"a}rm{\"a}",

year = "1998",

doi = "10.1117/12.309558",

language = "English",

volume = "3298",

pages = "53--62",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE-Society of Photo-Optical Instrumentation Engineers",

note = "Visual Data Exploration and Analysis V ; Conference date: 26-01-1998 Through 27-01-1998",

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TY - JOUR

T1 - A signal modulation approach to data sonification

AU - Gröhn, Matti

AU - Backman, Juha

AU - Härmä, Aki

PY - 1998

Y1 - 1998

N2 - 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.

AB - 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.

KW - Data analysis

KW - Psychoacoustics

KW - Sonification

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U2 - 10.1117/12.309558

DO - 10.1117/12.309558

M3 - Conference article in journal

AN - SCOPUS:0032225496

SN - 0277-786X

VL - 3298

SP - 53

EP - 62

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Visual Data Exploration and Analysis V

Y2 - 26 January 1998 through 27 January 1998

ER -

A signal modulation approach to data sonification

Abstract

Keywords

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