Voice source characterization using pitch synchronous discrete cosine transform for speaker identification

A characterization of the voice source (VS) signal by the pitch synchronous (PS) discrete cosine transform (DCT) is proposed. With the integrated linear prediction residual (ILPR) as the VS estimate, the PS DCT of the ILPR is evaluated as a feature vector for speaker identification (SID). On TIMIT a...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of the Acoustical Society of America 2015-06, Vol.137 (6), p.EL469-EL475
Main Authors: Ramakrishnan, A G, Abhiram, B, Prasanna, S R Mahadeva
Format: Article
Language:English
Subjects:
Acoustics
Databases, Factual
Humans
Linear Models
Pattern Recognition, Automated
Signal Processing, Computer-Assisted
Sound Spectrography
Speech Acoustics
Speech Production Measurement - methods
Speech Recognition Software
Voice Quality
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A characterization of the voice source (VS) signal by the pitch synchronous (PS) discrete cosine transform (DCT) is proposed. With the integrated linear prediction residual (ILPR) as the VS estimate, the PS DCT of the ILPR is evaluated as a feature vector for speaker identification (SID). On TIMIT and YOHO databases, using a Gaussian mixture model (GMM)-based classifier, it performs on par with existing VS-based features. On the NIST 2003 database, fusion with a GMM-based classifier using MFCC features improves the identification accuracy by 12% in absolute terms, proving that the proposed characterization has good promise as a feature for SID studies.
ISSN:0001-4966
1520-8524
DOI:10.1121/1.4921679