An intelligibility metric based on a simple model of speech communication

Conference paper (2016)

Authors

Steven van Kuyk Victoria University of Wellington

W.B. Kleijn Victoria University of Wellington

R.C. Hendriks Signal Processing Systems -

Richard C. Hendriks Signal Processing Systems -

Research Group

Signal Processing Systems () (TU Delft)

DOI: https://doi.org/10.1109/iwaenc.2016.7602933

Intelligibility Mutual information

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Published Date

24-10-2016

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

Instrumental measures of speech intelligibility typically produce an index between 0 and 1 that is monotonically related to listening test scores. As such, these measures are dimensionless and do not represent physical quantities. In this paper, we propose a new instrumental intelligibility metric that describes speech intelligibility using bits per second. The proposed metric builds upon an existing intelligibility metric that was motivated by information theory. Our main contribution is that we use a statistical model of speech communication that accounts for noise inherent in the speech production process. Experiments show that the proposed metric performs at least as well as existing state-of-the-art intelligibility metrics.

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