Abonnement à la biblothèque: Guest
Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections
Telecommunications and Radio Engineering
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN Imprimer: 0040-2508
ISSN En ligne: 1943-6009

Volume 79, 2020 Volume 78, 2019 Volume 77, 2018 Volume 76, 2017 Volume 75, 2016 Volume 74, 2015 Volume 73, 2014 Volume 72, 2013 Volume 71, 2012 Volume 70, 2011 Volume 69, 2010 Volume 68, 2009 Volume 67, 2008 Volume 66, 2007 Volume 65, 2006 Volume 64, 2005 Volume 63, 2005 Volume 62, 2004 Volume 61, 2004 Volume 60, 2003 Volume 59, 2003 Volume 58, 2002 Volume 57, 2002 Volume 56, 2001 Volume 55, 2001 Volume 54, 2000 Volume 53, 1999 Volume 52, 1998 Volume 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v65.i3.80
pages 271-279

Environmental Sounds Recognition

O. Aranda-Uribe
ESIME Culhuacan, National Polytechnic Institute of Mexico, Mexico
Mariko Nakano-Miyatake
National Polytechnic Institute, IPN, Mexico City
Hector Manuel Perez-Meana
National Polytechnic Institute of Mexico


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.

Articles with similar content:

The Basic Stages and Problems of Designing the Systems for Information Protection in Computer-Aided Networks
Telecommunications and Radio Engineering, Vol.63, 2005, issue 2-6
A. V. Markov, A. S. Dubrovin, O. Yu. Makarov, Yu. A. Meshcheryakov, E. A. Rogozin, Yu. E. Didyuk
Decomposition of Parameters and Construction of State Identifiers of an n-Mass Elastic Electromechanical System
Journal of Automation and Information Sciences, Vol.31, 1999, issue 4-5
Victor Yu. Arkadiev
A Review of Engineering Aspects of Vibroarthography of the Knee Joint
Critical Reviews™ in Physical and Rehabilitation Medicine, Vol.28, 2016, issue 1-2
Rasmus Elbaek Andersen, Lars Arendt-Nielsen, Pascal Madeleine
Comparison of Data Mining Methods while Credit Rating of Natural Persons
Journal of Automation and Information Sciences, Vol.41, 2009, issue 10
Alexander N. Terentyev, Nikolay Yu. Medin, Petr I. Bidyuk, Alexandra V. Mironova
A Model of a Digital Graphic Image Containing Steganographic Information
Telecommunications and Radio Engineering, Vol.66, 2007, issue 15
E. P. Stelmakh, A. V. Skurnovich