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A robust sequential test for text-independent speaker verification

M A Lund1, C C Lee

  • 1BBN Systems and Technologies, Cambridge, Massachussetts 02138, USA.

The Journal of the Acoustical Society of America
|January 1, 1996
PubMed
Summary
This summary is machine-generated.

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This study introduces a robust speaker verification algorithm using sequential hypothesis testing. The novel approach minimizes worst-case performance, improving accuracy despite noisy conditions and limited data.

Area of Science:

  • Speech processing
  • Machine learning
  • Signal detection theory

Background:

  • Speaker verification systems suffer performance degradation due to variations in training data, channel characteristics, and background noise.
  • Traditional methods rely on empirical threshold setting, which may not be optimal under varying conditions.
  • Robustness is crucial for reliable speaker verification in real-world scenarios.

Purpose of the Study:

  • To develop a robust speaker verification algorithm that addresses performance degradation caused by data variability and noise.
  • To introduce a minimax criterion for minimizing worst-case performance in speaker verification.
  • To enhance decision confidence through sequential data processing.

Main Methods:

  • Implementation of a sequential hypothesis testing framework for speaker verification.

Related Experiment Videos

  • Application of a minimax criterion to optimize the detector's performance against a class of distributions.
  • Utilizing sequential data acquisition to improve decision confidence when initial results are inconclusive.

    • Main Results:

    • The developed sequential detector demonstrates robustness against common performance detractors in speaker verification.
    • Performance was evaluated on a purpose-built, realistic database.
    • The algorithm achieved performance comparable to or exceeding existing heuristic detection methods.

    Conclusions:

    • Sequential hypothesis testing offers a robust solution for speaker verification challenges.
    • The minimax criterion enhances algorithm reliability under uncertain conditions.
    • The proposed method provides a promising advancement for practical speaker verification systems.