Abstract
Society widely appreciates the idea of sound being a normal part of a product’s operation. As a result, much attention has been directed at designing various sounds that are treated as noise, such as automobile acceleration. Car drivers detect variations in the sound characteristics between different buttons of an audio system; e.g., the pitch, tone color, loudness, and duration. These characteristics can affect the desirability of both a car and its audio system. In this study, we evaluated the sound design of transient signals for 11 different button sounds. To accurately represent button sounds, one of the time–frequency representations, wavelet transform, which structure is similar to an auditory time–frequency resolution feature, is used. An impression was extracted using the semantic differential method, and the relationship between the representation of the wavelet transform and its sound impression was investigated.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ishimitsu S, Kobayashi H (2006) Study on instantaneous correlation analyses of acceleration car interior noise using wavelets and its subjective evaluation. Trans Jpn Soc Mech Eng 72(719) C:2094–2100
Toi T (2004) Recommendation of a comfortable sound design and its procedure. Mech Des 48(2):36–45
Kuwano S (2007) Design of sound environment. Corona, Japan
Ishimitsu S, Sakamoto K, Arai T et al (2008) Study on the visualization of the impression of button sounds. In: The proceedings of 3rd international conference on innovative computing, information and control
Roberts JR, Jones R, Mansfield NJ, Rothberg SJ (2005) Evaluation of vibrotactile sensations in the ‘feel’ of a golf shot. J Sound Vib 285(1–2):303–319
Kuwano S, Namba S, Ohta K et al (1999) Relation between envelope pattern and sound quality of impulsive sounds. J Acoust Soc Jpn 20(2):153–155
Zwicker E (1982) Psychoakustik. Springer, Berlin Heidelberg
Claasen TACM, Mecklenbrauker WFG (1980) The Wigner distribution—a tool for time-frequency signal analysis, part 1: continuous-time signals. Phillips J Res 35(3):217–250
Daubechies I (1992) Ten lectures on wavelets. Society for Industrial and Applied Mathematics, Philadelphia
Rioul O, Vetterli M (1991) Wavelets and signal processing. IEEE Signal Process Mag 10:14–38
Mustapha O, Lefebvre D, Khalil M, Hoblos G, Chafouk H (2009) Fault detection algorithm using DCS method combined with filters bank derived from the wavelet transform. Int J Innovative Comput Inf Control 5(5):1313–1327
Daubechies I (1992) Ten lectures on wavelets. Society for Industrial and Applied Mathematics, Philadelphia
Zhang Z, Ikeuchi H, Toda H, Miyake T, Imamura T et al (2008) Designing average complex real signal mother wavelet and applying it in abnormal signal detection. Int J Innovative Comput Inf Control 4(4):1009–1022
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Ishimitsu, S. (2014). Button-Sound-Quality Evaluation for Car Audio Main Units. In: Watada, J., Shiizuka, H., Lee, KP., Otani, T., Lim, CP. (eds) Industrial Applications of Affective Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-04798-0_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-04798-0_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04797-3
Online ISBN: 978-3-319-04798-0
eBook Packages: EngineeringEngineering (R0)