Estimation of perceptual quality in audio and speech is possible using a variety of methods.
The combined v3 release of ViSQOL and ViSQOLAudio (for speech and audio …

Many speech processing methods based on deep learning require an automatic and
differentiable audio metric for the loss function. The DPAM approach of Manocha et al.[1] …

Over the past few decades, computational methods have been developed to estimate
perceptual audio quality. These methods, also referred to as objective quality measures, are …

This paper presents an objective speech quality model, ViSQOL, the Virtual Speech Quality
Objective Listener. It is a signal-based, full-reference, intrusive metric that models human …

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 …

Many audio processing tasks require perceptual assessment. The``gold standard``of
obtaining human judgments is time-consuming, expensive, and cannot be used as an …

Human judgments obtained through Mean Opinion Scores (MOS) are the most reliable way
to assess the quality of speech signals. However, several recent attempts to automatically …

Streaming services seek to optimise their use of bandwidth across audio and visual
channels to maximise the quality of experience for users. This letter evaluates whether …

Sažetak Many factors can affect the users' quality of experience (QoE) in speech
communication services. The impairment factors appear due to physical phenomena that …

Many audio processing tasks require perceptual assessment. However, the time and
expense of obtaining``gold standard''human judgments limit the availability of such data …