This study investigates the metrics for spatial audio quality of experience (QoE) prediction, particularly considering the existence of video whose viewpoint may not match that of the auditory scene. Subjective tests were conducted for 5.1-channel audio quality evaluation following a previously developed testing and prediction methodology, with the addition of accompanying video cues and with the spatial correlation between audio and video as a new variable for the QoE prediction. The first experiment with a synthesized visual cue showed that the spatial mismatch between audio and video affects the perceived audio QoE. A prediction model of the QoE score was suggested through statistical analysis, using the audio-video angular mismatch as w...
The QESTRAL project has developed an artificial listener that compares the perceived quality of a sp...
The QESTRAL (Quality Evaluation of Spatial Transmission and Reproduction using an Artificial Listene...
The spatial quality of automotive audio systems is often compromised due to their unideal listening ...
This study investigates the metrics for spatial audio quality of experience (QoE) prediction, partic...
This paper presents a summary of an ongoing doctoral research focused on evaluating the quality of e...
The research in this thesis describes the creation and development of a method for the prediction of...
The research in this thesis describes the creation and development of a method for the prediction of...
The spatial quality of audio content delivery systems is becoming increasingly important as service ...
Spatial audio processes (SAPs) commonly encountered in consumer audio reproduction systems are known...
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...
The increased use of audio applications capable of conveying enhanced spatial quality puts focus on ...
The increased use of audio applications capable of conveying enhanced spatial quality puts focus on ...
The QESTRAL project aims to develop an artificial listener for comparing the perceived quality of a ...
Reproduced audio is often accompanied with visuals (i.e. television, virtual reality, gaming, and ci...
The QESTRAL project has developed an artificial listener that compares the perceived quality of a sp...
The QESTRAL (Quality Evaluation of Spatial Transmission and Reproduction using an Artificial Listene...
The spatial quality of automotive audio systems is often compromised due to their unideal listening ...
This study investigates the metrics for spatial audio quality of experience (QoE) prediction, partic...
This paper presents a summary of an ongoing doctoral research focused on evaluating the quality of e...
The research in this thesis describes the creation and development of a method for the prediction of...
The research in this thesis describes the creation and development of a method for the prediction of...
The spatial quality of audio content delivery systems is becoming increasingly important as service ...
Spatial audio processes (SAPs) commonly encountered in consumer audio reproduction systems are known...
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...
The increased use of audio applications capable of conveying enhanced spatial quality puts focus on ...
The increased use of audio applications capable of conveying enhanced spatial quality puts focus on ...
The QESTRAL project aims to develop an artificial listener for comparing the perceived quality of a ...
Reproduced audio is often accompanied with visuals (i.e. television, virtual reality, gaming, and ci...
The QESTRAL project has developed an artificial listener that compares the perceived quality of a sp...
The QESTRAL (Quality Evaluation of Spatial Transmission and Reproduction using an Artificial Listene...
The spatial quality of automotive audio systems is often compromised due to their unideal listening ...