@inproceedings{b2fa57f3fc5643299c6508a96cbb800a,
title = "Environmental sounds recognition system using the speech recognition system techniques",
abstract = "This paper proposes an environmental sounds recognition system using LPC-Cepstral coefficients for characterization and a backpropagation artificial neural network as verification method. LPC-Cepstral data are totally dependent on the sound-source from which they are computed. This system is evaluated using a database containing files of four different sound-sources under a variety of recording conditions. Two neural networks are trained with the magnitude of the discrete Fourier transform of the LPC-Cepstral matrices. The global percentage of verification was of 96.66%. The percentage of verification can be improved if the number of feature vectors (coefficients) is incremented in the neural network-training phase. Basically the idea here is to apply the techniques founded in speech recognition systems to an environmental sounds recognition system.",
keywords = "Artificial Neural Network, Fourier Transform, LPC-Cepstral",
author = "Uribe, {O. Aranda} and Meana, {H. M.P{\'e}rez} and Miyatake, {M. Nakano}",
year = "2005",
doi = "10.1109/ICEEE.2005.1529562",
language = "Ingl{\'e}s",
isbn = "0780392302",
series = "2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005",
pages = "13--16",
booktitle = "2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005",
note = "2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005 ; Conference date: 07-09-2005 Through 09-09-2005",
}