• Publications
  • Influence
Speaker recognition with polynomial classifiers
TLDR
We propose the use of a polynomial-based classifier to achieve high accuracy at low complexity for speaker recognition. Expand
  • 156
  • 9
Automatic Speechreading with Applications to Human-Computer Interfaces
TLDR
We investigate the usefulness of visual speech information in HCI related applications that exploit speechreading in a joint audio-visual speech signal processing task. Expand
  • 90
  • 4
Automatic speechreading with application to speaker verification
TLDR
We incorporate visual speech features into a speaker veri£cation system to assess the bene£t of the vi sual modality. Expand
  • 42
  • 3
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Visual speech feature extraction for improved speech recognition
TLDR
We present a method for automatically locating and extracting visual speech features from a talking person in color video sequences. Expand
  • 42
  • 3
Force XXI Land Warrior: a systems approach to speech recognition
TLDR
Speech recognition is continually being realized as a user interface in new applications. Expand
  • 7
  • 1
Robust out-of-vocabulary rejection for low-complexity speaker independent speech recognition
TLDR
In this paper, we extend our work on low-complexity, high-accuracy speaker independent speech recognition. Expand
  • 6
  • 1
Distributed speaker recognition using the ETSI distributed speech recognition standard
TLDR
Biometrics is gaining strong support for the personalization of and the securing of mobile devices. Expand
  • 15
A computationally scalable speaker recognition system
  • W. Campbell, C. Broun
  • Computer Science
  • 10th European Signal Processing Conference
  • 1 September 2000
TLDR
We use a two-stage architecture for text-prompted speaker recognition which can perform speaker recognition on a large population with minimal computation. Expand
  • 9
Using polynomial networks for speech recognition
  • W. Campbell, C. Broun
  • Computer Science
  • Neural Networks for Signal Processing X…
  • 11 December 2000
TLDR
We show that through a novel training algorithm, a probabilistic interpretation, and a novel scoring method, polynomial networks can be applied to speech recognition in a manner that is accurate. Expand
  • 7
Text-prompted speaker recognition with polynomial classifiers
A novel system for text-prompted speaker recognition is presented. The system first segments the speech by Viterbi alignment with speaker independent models. It then applies a polynomial classifierExpand
  • 5
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