Open AccessInvestigation on human ear’s capability for identifing non-speech objects
Author(s) -
Kean Chen,
Na Wang,
Jinchang Wang
Publication year - 2009
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.58.5075
Subject(s) - computer science , identification (biology) , noise (video) , acoustics , speech recognition , human ear , sound (geography) , computational auditory scene analysis , signal (programming language) , artificial intelligence , physics , botany , image (mathematics) , biology , programming language
Investigation on human ears capability receives much attention in auditory science and target automatic recognition. In this paper, the relationship between auditory identification, nature of sound, training level and ambient noise are investigated by the test of subjective auditory capability approach. The test results are as follows: Human ears capability of identification is dependent on sound spectral structure and it will be better when the signal is of harmonic nature and in steady-state. The identification accuracy, being closely related with sound characteristic, can be improved by training of juries. The auditory identification capability under noise environment lies on sound spectral structure.