Improved wavelet feature extraction using kernel analysis for text independent speaker recognition

Authors:
Shung-Yung Lung
Affiliations:
Department of Information and Telecommunications Engineering, Ming Chuan University, Taoyuan County, Taiwan
Venue:
Digital Signal Processing
Year:
2010

Citing 15
Cited 2

Nonlinear component analysis as a kernel eigenvalue problem

Neural Computation
Kernel independent component analysis

The Journal of Machine Learning Research
A modified algorithm for generalized discriminant analysis

Neural Computation
Generalized Discriminant Analysis Using a Kernel Approach

Neural Computation
Efficient text independent speaker recognition with wavelet feature selection based multilayered neural network using supervised learning algorithm

Pattern Recognition
Feature extracted from wavelet decomposition using biorthogonal Riesz basis for text-independent speaker recognition

Pattern Recognition
Better wavelet packet tree structures for PAPR reduction in WOFDM systems

Digital Signal Processing
Advances in Audio and Speech Signal Processing: Technologies and Applications

Advances in Audio and Speech Signal Processing: Technologies and Applications
Higher-order properties of analytic wavelets

IEEE Transactions on Signal Processing
Spherical coding algorithm for wavelet image compression

IEEE Transactions on Image Processing
Kernel-based feature extraction with a speech technology application

IEEE Transactions on Signal Processing
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model

IEEE Transactions on Audio, Speech, and Language Processing
Using Kernel Discriminant Analysis to Improve the Characterization of the Alternative Hypothesis for Speaker Verification

IEEE Transactions on Audio, Speech, and Language Processing
Comments on Vocal Tract Length Normalization Equals Linear Transformation in Cepstral Space

IEEE Transactions on Audio, Speech, and Language Processing
Robust Speaker Recognition in Noisy Conditions

IEEE Transactions on Audio, Speech, and Language Processing

Audio based solutions for detecting intruders in wild areas

Signal Processing
Average framing linear prediction coding with wavelet transform for text-independent speaker identification system

Computers and Electrical Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

A text independent speaker recognition system based on improved wavelet transform is proposed. Learning of the correlation between the wavelet transform and the expression vector is performed by kernel canonical correlation analysis. Kernel canonical correlation analysis is a nonlinear extension of canonical correlation analysis. Moreover, we also propose an improved kernel canonical correlation algorithm to tackle the singularity problem of the wavelet matrix. The identification model underlying the Gaussian mixture model is presented; in particular, an expectation-maximization algorithm is also proposed for adjusting the parameters. The experimental results on the TALUNG database and KING database illustrate the effectiveness of the proposed method.