Technical Briefs

On the Relations Between Audio Features and Room Acoustic Parameters of Auralizations

[+] Author and Article Information
Salvador Cerdá

Associate Professor
Applied Mathematics Department,
Universitat Politècnica de València,
Camino de Vera s/n,
Valencia 46022, Spain
e-mail: salcerjo@mat.upv.es

Radu Lacatis

Applied Physics Department,
Universitat Politècnica de València,
Camino de Vera s/n,
Valencia 46022, Spain

Jaume Segura

Computer Science Department,
Universitat de València,
Polígon de la Coma s/n,
Paterna (Valencia) 46980, Spain

Rosa M. Cibrián

Universitat de València,
Blasco Ibañez,
Valencia 46010, Spain

Contributed by the Noise Control and Acoustics Division of ASME for publication in the Journal of Vibration and Acoustics. Manuscript received July 23, 2012; final manuscript received December 11, 2012; published online June 19, 2013. Assoc. Editor: Theodore Farabee.

J. Vib. Acoust 135(6), 064501 (Jun 19, 2013) (6 pages) Paper No: VIB-12-1206; doi: 10.1115/1.4023835 History: Received July 23, 2012; Revised December 11, 2012

The usual parameters in room acoustics are used to quantify the acoustic characteristics of rooms and their relation to the subjective perception of transmitted signals. Audio features (calculated with MIRToolbox) have been designed to study the relationships between the characteristics of musical audio files and their subjective perception. Both musical characteristics and acoustic parameters are oriented towards acoustic perception. By using auralizations with calibrated models of auditoriums and tools from the MIRtoolbox it is possible to jointly work with the calculation of audio features and room parameters. In this work, the statistical correlations between C80, STI, D50, EDT, RT and certain audio features have been analyzed. The Pearson r values are higher than 0.8 in all cases. These high correlations enable acoustic parameters to be calculated from the musical characteristics of auralized audio signals.

Copyright © 2013 by ASME
Topics: Acoustics , Signals
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Fig. 1

3D models in ODEON

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Fig. 2

RT30 calibration in each room. In the modified Paranimf, the simulated RT30, together with its range, is shown.

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Fig. 3

Spatial distribution of sources

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Fig. 4

Receivers where auralizations were computed together with source position (represented as shown in Fig. 3). From top to bottom: Paranimf, Lonja, and Principal Theater of Valencia.

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Fig. 5

C80 versus dmfcc_std_mid at each room (top) and for each musical piece (bottom)




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