Characterizing the sound quality of air-conditioning noise

The aim of the psychoacoustic study presented here was to characterize listeners’ preferences for a set of sounds produced by different brands and models of indoor air-conditioning units. In addition, some synthetic sounds, created by interpolation between recorded sound samples, were integrated into the set. The multidimensional perceptual space and the corresponding physical space representative of the sound set were determined with multidimensional scaling (MDS). Then the preferences for different classes of listeners were related to the physical space. The best spatial model yielded by the MDS had three common dimensions and specificities. The three dimensions are correlated with the ratio of the noisy part of the spectrum to the harmonic part (NHR), with the spectral center of gravity (SC) and with loudness (N ). Two classes of listeners can be distinguished in terms of preference. For one, preference varied primarily with loudness, whereas for the other it varied more with SC and NHR. However, for one class the preference grew with the parameter NHR, while it decreased for the other class. The results replicate under different laboratory conditions and indicate the usefulness of this sound quality assessment approach for characterizing appliance noises. � 2004 Elsevier Ltd. All rights reserved.

[1]  A. Hope A Simplified Monte Carlo Significance Test Procedure , 1968 .

[2]  C. Osgood The nature and measurement of meaning. , 1952, Psychological bulletin.

[3]  S. Winsberg,et al.  A multidimentional technique for sound quality assessment , 1999 .

[4]  Philippe Depalle,et al.  SVP: A Modular System for Analysis, Processing and Synthesis of Sound Signals , 1991, ICMC.

[5]  Xavier Rodet,et al.  Tracking of partials for additive sound synthesis using hidden Markov models , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  Stephen McAdams,et al.  Caractérisation du timbre des sons complexes.II. Analyses acoustiques et quantification psychophysique , 1994 .

[7]  Stephen A. Dyer,et al.  Digital signal processing , 2018, 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004..

[8]  Suzanne Winsberg,et al.  A latent class approach to fitting the weighted Euclidean model, clascal , 1993 .

[9]  T. SOMERVILLE,et al.  Applied Acoustics , 1958, Nature.

[10]  N. Chouard,et al.  A semantic differential design especially developed for the evaluation of interior car sounds , 1999 .

[11]  Xavier Rodet,et al.  Analysis of Sound for Additive Synthesis: Tracking of Partials Using Hidden Markov Models , 1993, ICMC.

[12]  J. Grey,et al.  Perceptual evaluations of synthesized musical instrument tones , 1977 .

[13]  Suzanne Winsberg,et al.  A thurstonian pairwise choice model with univariate and multivariate spline transformations , 1993 .

[14]  G. Soete,et al.  Perceptual scaling of synthesized musical timbres: Common dimensions, specificities, and latent subject classes , 1995, Psychological research.

[15]  William M. Hartmann,et al.  Psychoacoustics: Facts and Models , 2001 .

[16]  Lawrence N. Solomon Semantic Reactions to Systematically Varied Sounds , 1959 .

[17]  Hugo Fastl,et al.  Psychoacoustics: Facts and Models , 1990 .

[18]  Xavier Rodet,et al.  Sensory evaluation of air-conditioning noise: Sound design and psychoacoutic evaluation , 2001 .

[19]  E. A. Bjork The perceived quality of natural sounds , 1985 .