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Perceptual Evaluation of Audio Quality (PEAQ) is a standardized algorithm for objectively measuring perceived audio quality, developed in 1994–1998 by a joint venture of experts within Task Group 6Q of the International Telecommunication Union's Radiocommunication Sector . It was originally released as ITU-R Recommendation BS.1387 in 1998 and ...
Sound quality is typically an assessment of the accuracy, fidelity, or intelligibility of audio output from an electronic device. Quality can be measured objectively, such as when tools are used to gauge the accuracy with which the device reproduces an original sound; or it can be measured subjectively, such as when human listeners respond to ...
POLQA covers a model to predict speech quality, [3] [4] by means of digital speech signal analysis. The predictions of those objective measures should come as close as possible to subjective quality scores as obtained in subjective listening tests. Usually, a Mean Opinion Score (MOS) is predicted.
PEXQ stands for a series of algorithms for the objective measuring of the perceived quality of communication channels and a software suite to use them. In particular the algorithms are Perceptual Evaluation of Audio Quality (PEAQ) for audio quality of e.g. lossy audio codecs, Perceptual Evaluation of Video Quality (PEVQ) for video algorithms,
Many audio components are tested for performance using objective and quantifiable measurements, e.g., THD, dynamic range and frequency response. Some take the view that objective measurements are useful and often relate well to subjective performance, i.e., the sound quality as experienced by the listener. [12]
A family of metrics for speech intelligibility, [263] speech quality, [267] [268] and music quality [269] has been derived using a shared model of the auditory periphery [270] that can represent hearing loss. Using a model of the impaired periphery leads to more accurate predictions for hearing-impaired listeners than using a normal-hearing ...
"We believe that the sound of music, unamplified, occurring in a real space is a philosophic absolute against which we may judge the performance of devices designed to reproduce music." Subjectivists rely on demonstrations and comparisons but believe there are problems in applying double-blind methods to comparisons of audio devices.
Perceptual audio coding uses psychoacoustics-based algorithms. The psychoacoustic model provides for high quality lossy signal compression by describing which parts of a given digital audio signal can be removed (or aggressively compressed) safely—that is, without significant losses in the (consciously) perceived quality of the sound.