In this research various objective quality measures are evaluated in order to predict the
intelligibility for a wide range of non-linearly processed speech signals and speech …

This paper assesses 9 prominent objective quality measures for their potential in
intelligibility estimation. Degradation considered include additive noises and those …

Speech intelligibility prediction of noisy and processed noisy speech is important in a
number of application domains such as hearing instruments and forensics. Most available …

The articulation index (AI), speech-transmission index (STI), and coherence-based
intelligibility metrics have been evaluated primarily in steady-state noisy conditions and …

Recent advances in mobile wireless communication devices have made possible speech
communication in a variety of noise environments which were not possible before. Also …

Many objective measures have been reported to predict speech intelligibility in noise, most
of which were designed and evaluated with English speech corpora. Given the different …

We propose a novel method for objective speech intelligibility prediction which can be useful
in many application domains such as hearing instruments and forensics. Most objective …

This paper investigates the accuracy of automatic speech recognition (ASR) and 6 other well-
reported objective quality measures for the task of estimating speech intelligibility. It is …

In this paper we propose a novel objective method for intelligibility prediction of enhanced
speech which is based on the negative distortion ratio (NDR)–that is, the amount of power …

The presence of background noise or nonlinear distortions encountered in real-world
situations often reduces the intelligibility of speech signals. Several objective measurements …