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 …

This study proposes a cross-domain multi-objective speech assessment model, called
MOSA-Net, which can simultaneously estimate the speech quality, intelligibility, and …

The perceptual task of speech quality assessment (SQA) is a challenging task for machines
to do. Objective SQA methods that rely on the availability of the corresponding clean …

With the advances in speech communication systems such as online conferencing
applications, we can seamlessly work with people regardless of where they are. However …

The Sensing tasks, such as evaluating voice clarity, are difficult for computers.(SQA).
Traditional approaches to SQA have favored objective techniques that require the existence …

Computational objective metrics that use reference signals have been shown to be effective
forms of speech assessment in simulated environments, since they are correlated with …

The objective speech quality assessment is usually conducted by comparing received
speech signal with its clean reference, while human beings are capable of evaluating the …

Non-intrusive intelligibility prediction is important for its application in realistic scenarios,
where a clean reference signal is difficult to access. The construction of many non-intrusive …

Speech intelligibility and quality assessment models are essential tools for researchers to
evaluate and improve speech processing models. However, only a few studies have …