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

Various types of methods and approaches are available to predict the intelligibility of speech
signals, but many of these still suffer from two major problems: first, their required prior …

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

Speech intelligibility models can provide insights regarding the auditory processes involved
in human speech perception and communication. One successful approach to modelling …

Objective metrics, such as the perceptual evaluation of speech quality (PESQ) have become
standard measures for evaluating speech. These metrics enable efficient and costless …

Without the need of a clean reference, non-intrusive speech assessment methods have
caught great attention for objective evaluations. Recently, deep neural network (DNN) …

Objective metrics, such as the perceptual evaluation of speech quality (PESQ), short-time
objective intelligibility (STOI), and signal-to-distortion ratio (SDR), are often used for …

In recent years, there has been an increasing interest in objective measures of speech
intelligibility in the speech processing community. Important progress has been made in …

It could be beneficial for users of hearing aids if these were able to automatically adjust the
processing according to the speech intelligibility in the specific acoustic environment. Most …

In recent years, research into objective speech intelligibil-ity measures has gained
increased interest as a tool to opti-mize speech enhancement algorithms. While most …