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 Auditory Modeling Toolbox (AMT) is a MATLAB/Octave toolbox for the development and
application of computational auditory models with a particular focus on binaural hearing …

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 …

Abstract The Auditory Modeling Toolbox, AMToolbox, is a Matlab/Octave toolbox for
developing and applying auditory perceptual models with a particular focus on binaural …

How do people have conversations in noise and make themselves understood? While many
previous studies have investigated speaking and listening in isolation, this study focuses on …

Speech Intelligibility Prediction (SIP) algorithms are becoming popular tools within the
development and operation of speech processing devices and algorithms. However, many …

Binaural rendering of Ambisonics signals is a common way to reproduce spatial audio
content. Processing Ambisonics signals at low spatial orders is desirable in order to reduce …

Spatial release from masking (SRM) occurs when a target signal and competing masker
come from different directions. For a stationary noise interferer, it comprises an improvement …

Immersive audio technologies, ranging from rendering spatialized sounds accurately to
efficient room simulations, are vital to the success of augmented and virtual realities. To …

Speech intelligibility prediction methods have recently gained popularity in the speech
processing community as supplements to time consuming and costly listening experiments …