Speech intelligibility (SI) measurement has attracted great attention in the speech
communication community over the last decade. It is a critical consideration for speech …

The equalization cancellation model is often used to predict the binaural masking level
difference. Previously its application to speech in noise has required separate knowledge …

Speech perception is strongly affected by noise and reverberation in the listening room, and
binaural processing can substantially facilitate speech perception in conditions when target …

Words spoken against a noise background often form an ambiguous percept. However, in
certain conditions, a listener will mishear a noisy word but report hearing the same incorrect …

Effective speech communication is critical to everyday quality of life and social well-being. In
addition to the well-studied deficits in cognitive and motor function, depression also impacts …

A non-intrusive method is introduced to predict binaural speech intelligibility in noise directly
from signals captured using a pair of microphones. The approach combines signal …

We reanalyzed a study that investigated binaural and temporal integration of speech
reflections with different amplitudes, delays, and interaural phase differences. We used a …

Speech Intelligibility Prediction (SIP) algorithms are becoming increasingly popular for
objective evaluation of speech processing algorithms and transmission systems. Most often …