Title
On the use of perceptual Line Spectral pairs Frequencies and higher-order residual moments for Speaker Identification
Abstract
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.
Year
DOI
Venue
2010
10.1504/IJBM.2010.035450
IJBM
Keywords
Field
DocType
SI, speaker identification, LSF, line spectral pairs frequencies, perceptual linear prediction, residual signal, higher order statistics
Residual,Mel-frequency cepstrum,Economics,Pattern recognition,Higher-order statistics,Linear prediction,Speech recognition,Feature extraction,Speaker recognition,Artificial intelligence,Biometrics,Line spectral pairs
Journal
Volume
Issue
ISSN
2
4
1755-8301
Citations 
PageRank 
References 
6
0.60
28
Authors
3
Name
Order
Citations
PageRank
Md. Sahidullah132624.99
Sandipan Chakroborty2313.34
Goutam Saha325523.17