Title: 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.