A Computational Software for Noise Measurement and Toward Its Identification

A Theory of Primary Sensations and Spatial Sensations Measuring Environmental Noise

“…Temporal factors extracted from the ACF are associated with the left cerebral hemisphere and spatial factors extracted from IACF are much concerned with the right [1]. The method of measuring environmental noise based on this theory is proposed [26]. It is supplemented [27,28] For the reader's information, the most preferred conditions for the sound "eld in a concert hall are brie#y described here by both temporal and spatial factors [2].…”

Automatic environmental noise source classification model using fuzzy logic

“…In the previous studies (Ando & Pompoli, 2002;Fujii, Sakurai, & Ando, 2004;Sakai & Ando, 2001), noise sources were identified based on the similarity of acoustical parameters from ACF by using the template-matching algorithm. A fundamental assumption is that noises from the same source have similar acoustical qualities and therefore are mapped into the same cluster in feature-space.…”

“…These parameters are: (1) energy represented at the origin of delay, /(0); (2) the amplitude of the first positive harmonic of the ACF, / FP ; (3) / FP 's delay time, s FP ; (4) The amplitude of the first negative peak of the ACF,/ FN ; (5) the amplitude of the first positive peak of the normalized ACF, / 1 and (6) the delay time of the first peak of the normalized ACF, s 1 . Feature parameters; / 1 and s 1 are calculated based on the basic theory of Ando (Sakai & Ando, 2001). See Figs.…”

Diagnostic System Based on the Human Auditory–brain Model for Measuring Environmental Noise—an Application to Railway Noise

“…SP¸is measured with a sound-level meter. A recently proposed diagnostic system for evaluating environmental noises [2] is based on the model of the human auditory}brain system [3]. As shown in Figure 1, it (1) measures the environmental noise and analyzes its physical factors, (2) identi"es the noise source using the extracted physical factors, and (3) evaluates it subjectively.…”

“…A recently proposed diagnostic system for evaluating environmental noises [2] is based on the model of the human auditory}brain system [3]. As shown in Figure 1, it (1) measures the environmental noise and analyzes its physical factors, (2) identi"es the noise source using the extracted physical factors, and (3) evaluates it subjectively. The key feature of the system is that the physical factors to be evaluated are extracted from the autocorrelation functions (ACF) and interaural crosscorrelation function (IACF) for signals arriving at a person's ears in accordance with the auditory}brain model.…”