[HTML][HTML] Nonintrusive objective measurement of speech intelligibility: A review of methodology
Speech intelligibility (SI) measurement has attracted great attention in the speech
communication community over the last decade. It is a critical consideration for speech …
communication community over the last decade. It is a critical consideration for speech …
Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features
This study proposes a cross-domain multi-objective speech assessment model, called
MOSA-Net, which can simultaneously estimate the speech quality, intelligibility, and …
MOSA-Net, which can simultaneously estimate the speech quality, intelligibility, and …
ASR-based speech intelligibility prediction: A review
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 …
signals, but many of these still suffer from two major problems: first, their required prior …
NORESQA: A framework for speech quality assessment using non-matching references
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 …
to do. Objective SQA methods that rely on the availability of the corresponding clean …
Conferencingspeech 2022 challenge: Non-intrusive objective speech quality assessment (NISQA) challenge for online conferencing applications
With the advances in speech communication systems such as online conferencing
applications, we can seamlessly work with people regardless of where they are. However …
applications, we can seamlessly work with people regardless of where they are. However …
An attention enhanced multi-task model for objective speech assessment in real-world environments
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 …
forms of speech assessment in simulated environments, since they are correlated with …
Metricnet: Towards improved modeling for non-intrusive speech quality assessment
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 …
speech signal with its clean reference, while human beings are capable of evaluating the …
Unsupervised uncertainty measures of automatic speech recognition for non-intrusive speech intelligibility prediction
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 …
where a clean reference signal is difficult to access. The construction of many non-intrusive …
InQSS: a speech intelligibility and quality assessment model using a multi-task learning network
Speech intelligibility and quality assessment models are essential tools for researchers to
evaluate and improve speech processing models. However, only a few studies have …
evaluate and improve speech processing models. However, only a few studies have …
Audio similarity is unreliable as a proxy for audio quality
Many audio processing tasks require perceptual assessment. However, the time and
expense of obtaining``gold standard''human judgments limit the availability of such data …
expense of obtaining``gold standard''human judgments limit the availability of such data …