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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 ...
Real Audio Gecko (from Real Producer 9.0.1) 64 kbit/s; Windows Media Audio v9 VBR quality 50; QuickTime 6.3 AAC LC 64 kbit/s, Best Quality; Various 12 30-43 Nero HE-AAC: This test showed that listeners preferred 128 kbit/s MP3 audio encoded by LAME to all the tested codecs at 64 kbit/s, with greater than 99% confidence:
Bluetooth audio Yes No No Yes No LHDC: Savitech 2017 5.0.6 (2022-08-03) Non-free Mobile phones, Bluetooth headphones, Home receivers Android 10: Bluetooth audio Yes No Yes Yes No L2HC Huawei: 2020 3.0 (2023-09-19) Non-free Huawei products, EMUI, HarmonyOS: Android 10, OpenHarmony, Oniro OS Bluetooth audio NearLink audio Yes Yes Yes Yes Yes Lyra ...
CD quality audio is sampled at 44,100 Hz (Nyquist frequency = 22.05 kHz) and at 16 bits. Sampling the waveform at higher frequencies and allowing for a greater number of bits per sample allows noise and distortion to be reduced further. DAT can sample audio at up to 48 kHz, while DVD-Audio can be 96
MUSHRA stands for Multiple Stimuli with Hidden Reference and Anchor and is a methodology for conducting a codec listening test to evaluate the perceived quality of the output from lossy audio compression algorithms. It is defined by ITU-R recommendation BS.1534-3. [1] The MUSHRA methodology is recommended for assessing "intermediate audio quality".
Because measured audio distortion is higher in electromechanical components such as microphones, turntables, tonearms, phono cartridges, and loudspeakers than in purely electronic components such as preamplifiers and power amplifiers, objectivists generally do not accept that very subtle differences in the latter can have an appreciable effect ...
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A lossless audio coding format reduces the total data needed to represent a sound but can be de-coded to its original, uncompressed form. A lossy audio coding format additionally reduces the bit resolution of the sound on top of compression, which results in far less data at the cost of irretrievably lost information.