Treffer: A comparative study of feature extraction algorithms on ANN based speaker model for speaker recognition applications
Title:
A comparative study of feature extraction algorithms on ANN based speaker model for speaker recognition applications
Authors:
Source:
Neural information processing (Calcutta, 22-25 November 2004)Lecture notes in computer science. :1192-1197
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 12 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance et synthèse de la parole et du son. Linguistique, Speech and sound recognition and synthesis. Linguistics, Connexionnisme. Réseaux neuronaux, Connectionism. Neural networks, Algorithme rétropropagation, Backpropagation algorithm, Algoritmo retropropagación, Cepstre, Cepstrum, Extraction caractéristique, Feature extraction, Extraction forme, Pattern extraction, Extracción forma, Locuteur, Speaker, Locutor, Reconnaissance caractère, Character recognition, Reconocimiento carácter, Reconnaissance forme, Pattern recognition, Reconocimiento patrón, Reconnaissance locuteur, Speaker recognition, Reconnaissance parole, Speech recognition, Reconocimiento voz, Réseau multicouche, Multilayer network, Red multinivel, Réseau neuronal, Neural network, Red neuronal, Rétropropagation, Backpropagation, Retropropagacíon
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Indian Institute of Technology, Kharagpur, Kharagpur-721302, West Bengal, India
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16442560
Database:
PASCAL Archive
Weitere Informationen
In this paper we present a comparative study of usefulness of four of the most popular feature extraction algorithm in Artificial Neural Network based Text dependent speaker recognition system. The network uses multi-layered perceptron with backpropagation learning. We show the performance of the network for two phrases with a population of 25 speakers. The result shows normalized Mel Frequency Cepstral Coefficients performing better in false acceptance rate as well as in size of the network for an admissible error rate.