Accession Number:

ADA523753

Title:

Combining Cross-Stream And Time Dimensions In Phonetic Speaker Recognition

Descriptive Note:

Conference paper

Corporate Author:

CARNEGIE-MELLON UNIV PITTSBURGH PA

Report Date:

2003-01-01

Pagination or Media Count:

5.0

Abstract:

Recent studies show that phonetic sequences from multiple languages can provide effective features for speaker recognition. So far, only pronunciation dynamics in the time dimension, i.e., n-gram modeling on each of the phone sequences, have been examined. In the JHU 2002 Summer Workshop, we explored modeling the statistical pronunciation dynamics across streams in multiple languages cross-stream dimension as an additional component to the time dimension. We found that bigram modeling in the cross-stream dimension achieves improved performance over that in the time dimension on the NIST 2001 Speaker Recognition Evaluation Extended Data Task. Moreover, a linear combination of information from both dimensions at the score level further improves the performance, showing that the two dimensions contain complementary information.

Subject Categories:

  • Linguistics
  • Voice Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE