Updating the Spectral Correlation Index: Integrating Audibility and Band Importance Using Speech Intelligibility Index Weights

Gregory M. Ellis*, Pamela Souza

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The original Spectral Correlation Index (SCIo) is a measure of amplitude envelope distortion that has been used in several studies to predict behavioral results. Because the original SCIo did not account for the differential contribution of particular frequency bands to speech intelligibility (i.e., band importance) or for audibility, a new “individual” version (the SCIi) is proposed and evaluated. Sentence intelligibility data are used to compare the predictive power and goodness-of-fit for statistical models using two versions of the SCI. The SCIi provides significantly better fits to behavioral data than the SCIo. This result demonstrates the importance of accounting for and including signal audibility in analyzing and modeling data collected from the population of individuals with hearing impairment. With this update, the SCIi is a useful measure for predicting speech intelligibility based on amplitude envelope distortions.

Original languageEnglish (US)
Pages (from-to)2720-2726
Number of pages7
JournalJournal of Speech, Language, and Hearing Research
Volume65
Issue number7
DOIs
StatePublished - Jul 2022

Funding

This work was funded by Grant NIDCD R01 DC006014, awarded to Pamela Souza. The authors thank Frederick (Erick) Gallun and Richard Wright for helpful comments on an earlier version of this research note.

ASJC Scopus subject areas

  • Speech and Hearing
  • Language and Linguistics
  • Linguistics and Language

Fingerprint

Dive into the research topics of 'Updating the Spectral Correlation Index: Integrating Audibility and Band Importance Using Speech Intelligibility Index Weights'. Together they form a unique fingerprint.

Cite this