Title :
Auditory Perceptual Information Extraction from ACF Physical Factors of Road-Vehicle Noise
Author :
Yan, Liang ; Chen, Ke-an
Author_Institution :
Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
Road-vehicle noise samples generated by common vehicles under various operating conditions were replayed using headphones. Ten subjects were instructed to describe and quantify their subjective responses to the noises. A wealth of numerical perceptual information was obtained and investigated by principal component analysis. Based on the human auditory-brain system theory, the physical factors extracted from the autocorrelation function (ACF) of binaural signals were calculated so as to explain the possible original sensations and representative auditory properties of road-vehicles sounds. Three primary auditory sensations-loudness, pitch and timbre have been acquired by applying PCA to the ACF factors extracted from 232 noise samples. There certainly exist elementary factors to quantify various auditory sensations. Noises possessed different ACF properties usually induced dissimilar perceptions with distinct essential auditory attributes, which would control or determine its auditory impression.
Keywords :
acoustic noise; biomechanics; hearing; principal component analysis; road vehicles; ACF physical factors; auditory perceptual information extraction; binaural signal autocorrelation function; headphones; human auditory-brain system theory; principal component analysis; road-vehicle noise; Correlation; Data mining; Delay; Humans; Noise; Principal component analysis; Timbre; auditory sensation; audotory-brain system theory; perceptual information extraction; the autocorrelation function;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.322