TY - GEN
T1 - Hetero-associative memories for voice signal and image processing
AU - Vázquez, Roberto A.
AU - Sossa, Humberto
PY - 2008
Y1 - 2008
N2 - An associative memory AM is a type of neural network commonly used for recalling output patterns from input patterns that might be altered by noise. Most of these models have several constraints that limit their applicability in complex problems. Recently, in [13] a new AM based on some aspects of human brain was introduced, however the authors only test its accuracy using image patterns. In this paper we show that this model is also robust with other type of patterns such as voice signal patterns. The AM is trained with associations composed by voice signals and their corresponding images. Once trained, when a voice signal is used to stimulate the AM we expect the memory recall the image associated to the voice signal. In order to test the accuracy of the proposal, a benchmark of sounds and images was used.
AB - An associative memory AM is a type of neural network commonly used for recalling output patterns from input patterns that might be altered by noise. Most of these models have several constraints that limit their applicability in complex problems. Recently, in [13] a new AM based on some aspects of human brain was introduced, however the authors only test its accuracy using image patterns. In this paper we show that this model is also robust with other type of patterns such as voice signal patterns. The AM is trained with associations composed by voice signals and their corresponding images. Once trained, when a voice signal is used to stimulate the AM we expect the memory recall the image associated to the voice signal. In order to test the accuracy of the proposal, a benchmark of sounds and images was used.
KW - Associative memories
KW - Image processing
KW - Voice signal processing
UR - http://www.scopus.com/inward/record.url?scp=55349105508&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85920-8_80
DO - 10.1007/978-3-540-85920-8_80
M3 - Contribución a la conferencia
SN - 3540859195
SN - 9783540859192
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 659
EP - 666
BT - Progress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings
T2 - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008
Y2 - 9 September 2008 through 12 September 2008
ER -