Accession Number:

ADA539628

Title:

The SRI NIST 2010 Speaker Recognition Evaluation System (PREPRINT)

Descriptive Note:

Conference paper preprint

Corporate Author:

SRI INTERNATIONAL MENLO PARK CA

Report Date:

2011-01-01

Pagination or Media Count:

5.0

Abstract:

The SRI speaker recognition system for the 2010 NIST speaker recognition evaluation SRE incorporates multiple subsystemswith a variety of features and modeling techniques. We describe our strategy for this years evaluation, from the use of speech recognition and speech segmentation to the individual system descriptions as well as the final combination. Our results show that under most conditions, the cepstral systems tend to perform the best, but that other, non-cepstral systems have the most complementarity. The combination of several subsystems with the use of adequate side information gives a 35 improvement on the standard telephone condition. We also show that a constrained cepstral systembased on nasal syllables tends to be more robust to vocal effort variabilities.

Subject Categories:

  • Linguistics
  • Numerical Mathematics
  • Human Factors Engineering and Man Machine Systems
  • Voice Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE