This book deals with methods of measurement and evaluation of environmental noise based on an auditory neural and brain-oriented model. The model consists of the autocorrelation function (ACF) and the interaural cross-correlation function (IACF) mechanisms for signals arriving at the two ear entrances. Even when the sound pressure level of a noise is only about 35 dBA, people may feel annoyed due to the aspects of sound quality. These aspects can be formulated by the factors extracted from the ACF and IACF. Several examples of measuring environmental noise-from outdoor noise such as that of aircraft, traffic, and trains, and indoor noise such as caused by floor impact, toilets, and air-conditioning-are demonstrated. According to the noise measurement and evaluation, applications for sound design are discussed. This book provides an excellent resource for students, researchers, and practitioners in a wide range of fields, such as the automotive, railway, and electronics industries, andsoundscape, architecture, and acoustics.

Autorentext

Yoshiharu Soeta:
Board member of Acoustical Society of Japan in Kansai Branch, Assistant editor of Journal of Temporal Design in Architecture and the Environment, Ad-hoc reviewer of Journal of the Acoustical Society of America, Journal of Sound and Vibration, Noise Control Engineering Journal, Journal of Neurophysiology, and NeuroImage.

Yoichi Ando:
A series editor of 'Modern Acoustics and Signal Processing'.
http://www.springer.com/series/3754

Editor-in-Chief of Journal of Temporal Design in Architecture and the Environment, Ad-hoc reviewer of Journal of the Acoustical Society of America, Journal of Sound and Vibration, and Acta Acustica united with Acustica.

Inhalt
Introduction.- Signal Processing Model of Human Auditory System.- Noise Measurement Method Based on the Model.- Temporal Primary Sensations of Noise.- Spatial Primary Sensations of Noise.- Noise Measurements.- Annoyance of Noise.- Short-Term Effects of Noise.- Long-Term Effects of Noise.- Application to Sound Design.- Index