arXiv · 1708.05132
An instrumental intelligibility metric based on information theory
Abstract
We propose a monaural intrusive instrumental intelligibility metric called speech intelligibility in bits (SIIB). 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.
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Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks. 2018-01-14. An instrumental intelligibility metric based on information theory. https://doi.org/10.1109/lsp.2017.2774250
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