TY - JOUR
T1 - A method for environmental acoustic analysis improvement based on individual evaluation of common sources in urban areas
AU - López-Pacheco, María G.
AU - Sánchez-Fernández, Luis P.
AU - Molina-Lozano, Herón
PY - 2014/1/15
Y1 - 2014/1/15
N2 - Noise levels of common sources such as vehicles, whistles, sirens, car horns and crowd sounds are mixed in urban soundscapes. Nowadays, environmental acoustic analysis is performed based on mixture signals recorded by monitoring systems. These mixed signals make it difficult for individual analysis which is useful in taking actions to reduce and control environmental noise. This paper aims at separating, individually, the noise source from recorded mixtures in order to evaluate the noise level of each estimated source. A method based on blind deconvolution and blind source separation in the wavelet domain is proposed. This approach provides a basis to improve results obtained in monitoring and analysis of common noise sources in urban areas. The method validation is through experiments based on knowledge of the predominant noise sources in urban soundscapes. Actual recordings of common noise sources are used to acquire mixture signals using a microphone array in semi-controlled environments. The developed method has demonstrated great performance improvements in identification, analysis and evaluation of common urban sources.
AB - Noise levels of common sources such as vehicles, whistles, sirens, car horns and crowd sounds are mixed in urban soundscapes. Nowadays, environmental acoustic analysis is performed based on mixture signals recorded by monitoring systems. These mixed signals make it difficult for individual analysis which is useful in taking actions to reduce and control environmental noise. This paper aims at separating, individually, the noise source from recorded mixtures in order to evaluate the noise level of each estimated source. A method based on blind deconvolution and blind source separation in the wavelet domain is proposed. This approach provides a basis to improve results obtained in monitoring and analysis of common noise sources in urban areas. The method validation is through experiments based on knowledge of the predominant noise sources in urban soundscapes. Actual recordings of common noise sources are used to acquire mixture signals using a microphone array in semi-controlled environments. The developed method has demonstrated great performance improvements in identification, analysis and evaluation of common urban sources.
KW - Acoustic source analysis
KW - Blind source separation
KW - Environmental noise
KW - Independent component analysis and blind deconvolution
UR - http://www.scopus.com/inward/record.url?scp=84884722656&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2013.08.085
DO - 10.1016/j.scitotenv.2013.08.085
M3 - Artículo
C2 - 24080413
SN - 0048-9697
VL - 468-469
SP - 724
EP - 737
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -