title: Voice source characterization using pitch synchronous discrete cosine transform for speaker identification.
abstract: 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.
authors.affiliation: Department of Electrical Engineering, Indian Institute of Science, Bangalore 560012, India ramkiag@ee.iisc.ernet.in, abhiram1989@gmail.com.
authors.forename: A G
authors.initials: AG
authors.lastname: Ramakrishnan
authors.affiliation: Department of Electrical Engineering, Indian Institute of Science, Bangalore 560012, India ramkiag@ee.iisc.ernet.in, abhiram1989@gmail.com.
authors.forename: B
authors.initials: B
authors.lastname: Abhiram
authors.affiliation: Department of Electrical and Electronics Engineering, I.I.T-Guwahati 781039, India prasanna@iitg.ernet.in.
authors.forename: S R Mahadeva
authors.initials: SR
authors.lastname: Prasanna
mesh_terms: D000162:Acoustics; D016208:Databases, Factual; D006801:Humans; D016014:Linear Models; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D013061:Speech Acoustics; D013068:Speech Production Measurement / Q000379:methods*; D049250:Speech Recognition Software; D014833:Voice Quality