RT Journal Article ID 6779481427aa2bc5 A1 Aranda-Uribe, O. A1 Nakano-Miyatake, Mariko A1 Perez-Meana, Hector Manuel T1 Environmental Sounds Recognition JF Telecommunications and Radio Engineering JO TRE YR 2006 FD 2006-05-01 VO 65 IS 1-5 SP 271 OP 279 AB This paper describes an environmental sounds recognition system using LPC-Cepstral coefficients as feature vectors and an artificial neural network backpropagation as recognition method. LPC-Cepstral data are totally dependents of the sound-source from which are computed. This system is evaluated using a database containing files from four different sound-sources under a variety of recording conditions. The training patterns used in the network-training ad testing processes, are extracted from the Discrete Fourier transform magnitude of the LPC-Cepstral matrices. The global percentages of classification obtained in the network-testing process are 98.2% and 96.8%. Basically the idea here is to apply the techniques found in speech recognition systems to an environmental sounds recognition system. PB Begell House LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,37cff76f5929b04d,6779481427aa2bc5.html