Publication detail

On the use of i-vector posterior distributions in Probabilistic Linear Discriminant Analysis

CUMANI, S. LAFACE, P. PLCHOT, O.

Original Title

On the use of i-vector posterior distributions in Probabilistic Linear Discriminant Analysis

Type

journal article in Web of Science

Language

English

Original Abstract

A PLDA model which exploits the uncertainty of the i-vector extraction process has been presented. We derived the formulation of the likelihood for a Gaussian PLDA model based on the i-vector posterior distribution, and illustrated a new PLDA model, where the inter-speaker variability is assumed to have an segment-dependent distribution, showing that we can rely on the standard PLDA framework simply replacing the likelihood definition.

Keywords

I-vector extraction, I-vectors, probabilistic linear discriminant analysis, speaker recognition

Authors

CUMANI, S.; LAFACE, P.; PLCHOT, O.

RIV year

2014

Released

6. 3. 2014

ISBN

2329-9290

Periodical

IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING

Year of study

22

Number

4

State

United States of America

Pages from

846

Pages to

857

Pages count

12

URL

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06748853&tag=1

BibTex

@article{BUT111591,
  author="Sandro {Cumani} and Pietro {Laface} and Oldřich {Plchot}",
  title="On the use of i-vector posterior distributions in Probabilistic Linear Discriminant Analysis",
  journal="IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING",
  year="2014",
  volume="22",
  number="4",
  pages="846--857",
  doi="10.1109/TASLP.2014.2308473",
  issn="2329-9290",
  url="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06748853&tag=1"
}