An Instrumental Intelligibility Metric Based on Information Theory

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10 Citations (Scopus)

Abstract

We propose a monaural intrusive instrumental intelligibility metric called SIIB (speech intelligibility in bits). SIIB is an estimate of the amount of information shared between a talker and a listener in bits per second. Unlike existing information theoretic intelligibility metrics, SIIB accounts for talker variability and statistical dependencies between time-frequency units. Our evaluation shows that relative to state-of-the-art intelligibility metrics, SIIB is highly correlated with the intelligibility of speech that has been degraded by noise and processed by speech enhancement algorithms.

Original languageEnglish
Pages (from-to)115-119
Number of pages5
JournalIEEE Signal Processing Letters
Volume25
Issue number1
DOIs
Publication statusPublished - 2018

Keywords

  • Intelligibility
  • mutual information

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