Fundamentals of speech recognition
Fundamentals of speech recognition
Speaker identification and verification using Gaussian mixture speaker models
Speech Communication
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Handset-Dependent Background Models for Robust Text-Independent Speaker Recognition
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
SVMTorch: support vector machines for large-scale regression problems
The Journal of Machine Learning Research
Radial basis function networks for speaker recognition
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
A speaker verification system using alpha-nets
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Speaker background models for connected digit password speaker verification
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
A tutorial on text-independent speaker verification
EURASIP Journal on Applied Signal Processing
Discrete-time speech signal processing: principles and practice
Discrete-time speech signal processing: principles and practice
Speaker Classification I
Higher-Level Features in Speaker Recognition
Speaker Classification I
Enhancing Speaker Discrimination at the Feature Level
Speaker Classification I
Computers and Electrical Engineering
Hi-index | 0.00 |
Automatic speaker recognition systems have a foundation built on ideas and techniques from the areas of speech science for speaker characterization, pattern recognition and engineering. In this chapter we provide an overview of the features, models, and classifiers derived from these areas that are the basis for modern automatic speaker recognition systems. We describe the components of state-of-the-art automatic speaker recognition systems, discuss application considerations and provide a brief survey of accuracy for different tasks.