Non-Intrusive Binaural Speech Intelligibility Prediction from Discrete Latent Representations
Alex F. McKinney,
Benjamin Cauchi
Abstract:Non-intrusive speech intelligibility (SI) prediction from binaural signals is useful in many applications. However, most existing signal-based measures are designed to be applied to single-channel signals. Measures specifically designed to take into account the binaural properties of the signal are often intrusive -characterised by requiring access to a clean speech signaland typically rely on combining both channels into a singlechannel signal before making predictions. This paper proposes a non-intrusive SI … Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.