Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kevin R. Farrell"'
Autor:
Claudio Vair, Daniele Colibro, Kevin R. Farrell, Finnian Kelly, Marcel Kockmann, Anil Alexander
Publikováno v:
Voice Biometrics: Technology, trust and security ISBN: 9781785619007
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91bd82137f4de71a728bf14178c5976f
https://doi.org/10.1049/pbse012e_ch8
https://doi.org/10.1049/pbse012e_ch8
Publikováno v:
Pattern Recognition. 35:2801-2821
Speaker recognition refers to the concept of recognizing a speaker by his/her voice or speech samples. Some of the important applications of speaker recognition include customer verification for bank transactions, access to bank accounts through tele
Autor:
Hung H. Bui, Andrew P. Breen, Roberto Gemello, Peter F. Patel-Schneider, Richard S. Crouch, Adwait Ratnaparkhi, Charles L. Ortiz, Peter Stubley, Jiaying Shen, Paul van Mulbregt, Ronald M. Kaplan, William F. Ganong, Holger Quast, Kevin R. Farrell, Friedrich Faubel, Tim Haulick, Vlad Sejnoha
Publikováno v:
Interactive Displays: Natural Human-Interface Technologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::948deb3c4e8788e05db243da9ffba46a
https://doi.org/10.1002/9781118706237.ch3
https://doi.org/10.1002/9781118706237.ch3
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 2:194-205
An evaluation of various classifiers for text-independent speaker recognition is presented. In addition, a new classifier is examined for this application. The new classifier is called the modified neural tree network (MNTN). The MNTN is a hierarchic
Autor:
Kevin R. Farrell, Richard J. Mammone
Publikováno v:
MILCOM 92 Conference Record.
A novel vector space approach for adaptive beamforming is presented. The vector space method is formulated for both narrowband and broadband arrays. It consists of first formulating the beamforming problem as a linear system of equations in a matrix-
Publikováno v:
MILCOM 92 Conference Record.
A modulation model representation of a signal is used to provide a convenient form for subsequent analysis. The modulation model is formed by estimating the instantaneous frequency and bandwidth using autoregressive spectrum analysis. In particular,
Autor:
Kevin R. Farrell, Richard J. Mammone
Publikováno v:
Proceedings of MILCOM '93 - IEEE Military Communications Conference.
A new classifier is presented for estimating the modulation type for digitally modulated signals. The new classifier is known as the neural tree network (NTN). The NTN is a self-organizing, hierarchical classifier that implements a sequential linear
Autor:
Richard J. Mammone, Kevin R. Farrell
Publikováno v:
ICASSP (1)
A modified neural tree network (NTN) is examined for use in text independent speaker identification. The NTN is a hierarchical classifier that combines the properties of decision trees and feed-forward neural networks. The modified NTN uses discrimin
Publikováno v:
ICASSP
We analyse the diversity of information as provided by several modeling approaches for speaker verification. This information is used to facilitate the fusion of the individual results into an overall result that provides advantages in accuracy over
Publikováno v:
Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
Speaker verification is a rapidly maturing technology that is becoming available for commercial applications. In this paper, we investigate the application of data fusion methods to sub-word implementations of speaker verification. At a sub-word leve