An instrumental intelligibility metric based on information theory
arXiv:1708.05132 · doi:10.1109/LSP.2017.2774250
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.
arXiv commentPublished in IEEE Signal Processing Letters
References in corpus (1)
Cited by in corpus (4)
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