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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 ...
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.
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,
In music, timbre (/ ˈ t æ m b ər, ˈ t ɪ m-, ˈ t æ̃-/), also known as tone color or tone quality (from psychoacoustics), is the perceived sound quality of a musical note, sound or tone. Timbre distinguishes different types of sound production, such as choir voices and musical instruments.
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.
Hearing-Aid Speech Quality Index (HASQI) is a measure of audio quality originally designed for the evaluation of speech quality for those with a hearing aid,. [ 1 ] [ 2 ] It has also been shown to be able to gauge audio quality for non-speech sounds and for listeners without a hearing loss .
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 ...