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The short-time articulation index.

J M Kates1

  • 1SIGNATRON, Inc., Lexington, Massachusetts 02173.

Journal of Rehabilitation Research and Development
|January 1, 1987
PubMed
Summary
This summary is machine-generated.

We introduce a new method called the short-time articulation index to measure speech intelligibility over time. This technique helps assess adaptive noise-cancellation systems as they improve performance.

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Area of Science:

  • Speech Processing
  • Acoustics
  • Signal Analysis

Background:

  • Speech intelligibility is crucial for effective communication.
  • Adaptive noise-cancellation systems require real-time performance metrics.
  • Existing methods may not capture dynamic changes in speech intelligibility.

Purpose of the Study:

  • Introduce the short-time articulation index (STAI).
  • Provide a method for calculating time-varying articulation index.
  • Enable real-time speech intelligibility measurement for adaptive systems.

Main Methods:

  • Develop an algorithm for block-by-block calculation of STAI.
  • Process data in discrete time segments.
  • Implement the STAI calculation for dynamic analysis.

Related Experiment Videos

Main Results:

  • Demonstrate the feasibility of calculating a time-varying articulation index.
  • Show STAI provides a running measure of speech intelligibility.
  • Illustrate STAI's utility in monitoring adaptive noise-cancellation convergence.

Conclusions:

  • The short-time articulation index is a valuable tool for dynamic speech intelligibility assessment.
  • STAI can effectively track the performance of adaptive noise-cancellation systems.
  • This method offers a novel approach to real-time speech signal analysis.