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.

References

1.
Vorlander
,
M.
,
2008
,
Auralization: Fundamentals of Acoustics, Modelling, Simulation, Algorithms and Acoustic Virtual Reality
,
Springer-Verlag
,
Berlin
.
2.
Prince
,
D.
, and
Talaske
,
R.
,
1994
, “
Variation of Room Acoustic Measurements as a Function of Source Location and Directivity
,”
W. Clement Sabine Centennial Symposium
, Cambridge, MA, June 5–7, pp.
211
214
.
3.
Martin
,
R. S.
,
Witew
,
I.
,
Arana
,
M.
, and
Vorlander
,
M.
,
2007
, “
Influence of the Source Orientation on the Measurement of Acoustic Parameters
,”
Acta Acust.
,
93
, pp.
387
397
.
4.
Otondo
,
F.
and
Rindel
,
J.
,
2004
, “
The Influence of the Directivity of Musical Instruments in a Room
,”
Acta Acust.
,
90
, pp.
1178
1184
.
5.
Dalenback
,
B.
,
Kleiner
,
M.
, and
Svensson
,
P.
,
1993
, “
Audibility of Changes in Geometric Shape, Source Directivity, and Absorptive Treatment—Experiments in Auralization
,”
J. Audio Eng. Soc.
,
41
, pp.
905
913
.
6.
Vigeant
,
M.
,
Wang
,
L.
, and
Rindel
,
J.
,
2011
, “
Objective and Subjective Evaluations of the Multi-Channel Auralization Technique as Applied to Solo Instruments
,”
Appl. Acoust.
,
72
, pp.
311
323
.10.1016/j.apacoust.2010.10.004
7.
Gil-Reyes
,
B.
,
Jeong
,
C.-H.
, and
Brunskog
,
J.
,
2011
, “
Room Acoustic Investigation of Actors' Positions and Orientations for Various Theatre Configurations in a Moderate-Sized Drama Theatre
,”
Appl. Acoust.
,
72
, pp.
48
58
.10.1016/j.apacoust.2010.08.001
8.
Lartillot
,
O.
,
Toiviainen
,
P.
, and
Eerola
,
T.
,
2008
, “
A MATLAB Toolbox for Music Information Retrieval
,”
Data Analysis, Machine Learning and Applications
(Studies in Classification, Data Analysis, and Knowledge Organization),
C.
Preisach
,
H.
Burkhardt
,
L.
Schmidt-Thieme
, and
R.
Decker
, eds.,
Springer, Berlin/Heidelberg
, pp.
261
268
.
9.
Lartillot
,
O.
,
2011
, “
MIRtoolbox 1.3.4 software
,”
Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyaskyla
,
Finland
, https://www.jyu.fi/hum/laitokset/musiikki/en/research/coe/materials/mirtoolbox
10.
EN ISO 3382-1
,
2009
, “
Acoustics—Measurement of Room Acoustic Parameters—Part 1: Performance Spaces
,”
International Organization for Standardization
,
Brussels, Belgium
.
11.
EN ISO 3382-2
,
2008
, “
Acoustics—Measurement of Room Acoustic Parameters—Part 2: Reverberation Time in Ordinary Rooms
,”
International Organization for Standardization
,
Brussels, Belgium
.
12.
Kendrick
,
P.
,
Cox
,
T. J.
,
Li
,
F. F.
,
Zhang
,
Y.
, and
Chambers
,
J. A.
,
2008
, “
Monaural Room Acoustic Parameters From Music and Speech
,”
J. Acoust. Soc. Am.
,
124
(
1
), pp.
278
287
.10.1121/1.2931960
13.
Vieira
,
J.
,
2004
, “
Automatic Estimation of Reverberation Time
,”
116th Convention of the Audio Engineering Society, Berlin, May 8–11
.
14.
Gaubitch
,
N. D.
,
Loellmann
,
H. W.
,
Jeub
,
M.
,
Falk
,
T. H.
,
Naylor
,
P. A.
,
Vary
,
P.
, and
Brookes
,
M.
,
2012
, “
Performance Comparison of Algorithms for Blind Reverberation Time Estimation From Speech
,”
Proceedings of the International Workshop on Acoustic Signal Enhancement
(IWAENC
2012
), Aachen, Germany, September 4–6.
15.
Cerdá
,
S.
,
Giménez
,
A.
, and
Cibrián
,
R. M.
,
2012
, “
An Objective Scheme for Ranking Halls and Obtaining Criteria for Improvements and Design
,”
J. Audio Eng. Soc.
,
60
(
6
), pp.
419
430
.
16.
Zeng
,
X.
,
Christensen
,
C.
, and
Rindel
,
J. H.
,
2006
. “
Practical Methods to Define Scattering Coefficients in a Room Acoustics Computer Model
.”
Appl. Acoust.
,
67
, pp.
771
786
.10.1016/j.apacoust.2005.12.001
17.
Christensen
,
C.
, and
Rindel
,
J.
,
2005
, “
A New Scattering Method That Combines Roughness and Diffraction Effects
,”
Proceedings of Forum Acusticum
,
Budapest, Hungary
, August 29–September 2.
18.
Rindel
,
J. H.
,
2000
, “
The Use of Computer Modeling in Room Acoustics
,”
J. Vibroeng.
,
2
(
4
), pp.
219
224
.
19.
Christensen
,
C.
,
2009
, “
Odeon Room Acoustics Program, Version 10.1, User Manual
,” http://www.odeon.dk/pdf/OdeonManual10.pdf
20.
Montell
,
R.
,
Giménez
,
A.
,
Segura
,
J.
,
Planells
,
A.
,
Barba
,
A.
,
Cerdá
,
S.
,
Cibrián
,
R.
, and
Lacatis
,
R.
,
2011
, “
Simulación acústica de auditorios y edificios patrimoniales. Integración con entornos de realidad virtual
,”
International Seminar on Virtual Acoustics
,
Valencia, Spain
, November 24–25.
21.
Barba
,
A.
and
Giménez
,
A.
,
2011
,
El Teatro Principal de Valencia. Acústica y arquitectura escénica
,
Teatres de la Generalitat y Universitat Politècnica de València
.
22.
Lacatis
,
R.
,
Cerdá
,
S.
,
Giménez
,
A.
, and
Romero
,
J.
,
2011
, “
Comparación de los parámetros acústicos obtenidos mediante dos programas de simulación con modelos geométricos de diferente complejidad de una sala
,”
Revista de Acustica
,
42
(
1–2
), pp.
33
42
.
23.
Cerda
,
S.
,
Giménez
,
A.
,
Cibrián
,
R.
,
Segura
,
J.
,
Montell
,
R.
, and
Barba
,
A.
,
2012
, “
Objective Evaluation of the Width of Source Ensemble in Virtual Halls
,”
Proceedings of the Internoise 2012/ASME NCAD Meeting
,
New York
,
August 19–22
.
24.
Savioja
,
L.
,
Huopaniemi
,
J.
,
Lokki
,
T.
, and
Väänänen
,
R.
,
1999
, “
Creating Interactive Virtual Acoustic Environments
,”
J. Audio. Eng. Soc.
,
47
(
9
), pp.
675
705
.
25.
Seely
,
O.
, “
Oliver's Clarinet Music Page
,” http://www.csudh.edu/oliver/clarmusi/clarmusi.htm
27.
Cerdá
,
S.
,
Giménez
,
A.
,
Romero
,
J.
,
Cibrián
,
R.
, and
Miralles
,
J.
,
2009
, “
Room Acoustical Parameters: A Factor Analysis Approach
,”
Appl. Acoust.
,
70
(
1
), pp.
97
109
.10.1016/j.apacoust.2008.01.001
28.
Cerdá
,
S.
,
Giménez
,
A.
,
Romero
,
J.
, and
Cibrián
,
R.
,
2011
, “
A Factor Analysis Approach to Determining a Small Number of Parameters for Characterising Halls
,”
Acta Acust. Acust.
,
97
, pp.
441
452
.10.3813/AAA.918425
29.
Gorsuch
,
R. L.
,
1983
,
Factor Analysis
,
Lawrence Erlbaum Associates
,
Hillsdale
.
30.
Slaney
,
M.
,
1998
, “
Auditory Toolbox, Version 2.0
,” Interval Research Corporation, Technical Report No. 1998-010.
You do not currently have access to this content.