On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Moment Forms: Their Construction and Application to Object Identification and Positioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of speech recognition
Fundamentals of speech recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical properties of line spectrum pairs
Signal Processing
Robust speaker verification with state duration modeling
Speech Communication
Comparative Study of Speaker Identification Methods: dPLRM, SVM and GMM
IEICE - Transactions on Information and Systems
Properties of line spectrum pair polynomials: a review
Signal Processing - Special section: Distributed source coding
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
Robust speaker modeling using perceptually motivated feature
Pattern Recognition Letters
Signal Processing
Investigation on LP-residual representations for speaker identification
Pattern Recognition
An overview of text-independent speaker recognition: From features to supervectors
Speech Communication
Robust speaker identification in the presence of car noise
International Journal of Biometrics
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Conventional Speaker Identification (SI) systems utilise spectral features like Mel-Frequency Cepstral Coefficients (MFCC) or Perceptual Linear Prediction (PLP) as a frontend module. Line Spectral pairs Frequencies (LSF) are popular alternative representation of Linear Prediction Coefficients (LPC). In this paper, an investigation is carried out to extract LSF from perceptually modified speech. A new feature set extracted from the residual signal is also proposed. SI system based on this residual feature containing complementary information to spectral characteristics, when fused with the conventional spectral feature based system as well as the proposed perceptually modified LSF, shows improved performance.