Most current perceptual models for audio quality have so far tended to concentrate on the audibility of distortions and noises that mainly affect the timbre of reproduced sound. The QESTRAL model, however, is specifically designed to take account of distortions in the spatial domain such as changes in source location, width and envelopment. It is not aimed only at codec quality evaluation but at a wider range of spatial distortions that can arise in audio processing and reproduction systems. The model has been calibrated against a large database of listening tests designed to evaluate typical audio processes, comparing spatially degraded multichannel audio material against a reference. Using a range of relevant metrics and a sophisticated m...
This paper describes a computational model for the prediction of perceived spatial quality for repro...
The spatial quality of automotive audio systems is often compromised due to their unideal listening ...
International audienceSpatial audio technologies become very important in audio broadcast services. ...
Most current perceptual models for audio quality have so far tended to concentrate on the audibility...
The QESTRAL (Quality Evaluation of Spatial Transmission and Reproduction using an Artificial Listene...
The QESTRAL project has developed an artificial listener that compares the perceived quality of a sp...
The QESTRAL project aims to develop an artificial listener for comparing the perceived quality of a ...
The spatial quality of audio content delivery systems is becoming increasingly important as service ...
The research in this thesis describes the creation and development of a method for the prediction of...
The QESTRAL model is a perceptual model that aims to predict changes to spatial quality of service b...
The research in this thesis describes the creation and development of a method for the prediction of...
The QESTRAL model is a perceptual model that aims to predict changes to spatial quality of service (...
Previously-obtained data, quantifying the degree of quality degradation resulting from a range of sp...
Spatial audio processes (SAPs) commonly encountered in consumer audio reproduction systems are known...
Spatial audio processes (SAPs) commonly encountered in consumer audio reproduction systems are known...
This paper describes a computational model for the prediction of perceived spatial quality for repro...
The spatial quality of automotive audio systems is often compromised due to their unideal listening ...
International audienceSpatial audio technologies become very important in audio broadcast services. ...
Most current perceptual models for audio quality have so far tended to concentrate on the audibility...
The QESTRAL (Quality Evaluation of Spatial Transmission and Reproduction using an Artificial Listene...
The QESTRAL project has developed an artificial listener that compares the perceived quality of a sp...
The QESTRAL project aims to develop an artificial listener for comparing the perceived quality of a ...
The spatial quality of audio content delivery systems is becoming increasingly important as service ...
The research in this thesis describes the creation and development of a method for the prediction of...
The QESTRAL model is a perceptual model that aims to predict changes to spatial quality of service b...
The research in this thesis describes the creation and development of a method for the prediction of...
The QESTRAL model is a perceptual model that aims to predict changes to spatial quality of service (...
Previously-obtained data, quantifying the degree of quality degradation resulting from a range of sp...
Spatial audio processes (SAPs) commonly encountered in consumer audio reproduction systems are known...
Spatial audio processes (SAPs) commonly encountered in consumer audio reproduction systems are known...
This paper describes a computational model for the prediction of perceived spatial quality for repro...
The spatial quality of automotive audio systems is often compromised due to their unideal listening ...
International audienceSpatial audio technologies become very important in audio broadcast services. ...