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Audio engineers use dynamic range to describe the ratio of the amplitude of the loudest possible undistorted signal to the noise floor, say of a microphone or loudspeaker. [18] Dynamic range is therefore the signal-to-noise ratio (SNR) for the case where the signal is the loudest possible for the system. For example, if the ceiling of a device ...
Modern recordings that use extreme dynamic range compression and other measures to increase loudness therefore can sacrifice sound quality to loudness. The competitive escalation of loudness has led music fans and members of the musical press to refer to the affected albums as "victims of the loudness war".
The crest factor, which is the difference between the signal's peak and its average power, [31] is on occasions considered as a basis for the measure of micro-dynamics, for instance in the TT Dynamic Range Meter plug-in. [32] Finally, R 128 LRA has been repeatedly considered as a measure of macro-dynamics or dynamics in the musical sense.
Loudness levels measured according to the Leq(RLB) specified in ITU-R BS.1770 are reported in LKFS units. The ITU-R BS.1770 measurement system was improved for made multi-channel applications (monaural to 5.1 surround sound). To make the loudness metric cross-genre friendly, a relative measurement gate was added. This work was carried out in ...
An equal-loudness contour is a measure of sound pressure level, over the frequency spectrum, for which a listener perceives a constant loudness when presented with pure steady tones. [1] The unit of measurement for loudness levels is the phon and is arrived at by reference to equal-loudness contours.
In 2010 Shepherd founded Dynamic Range Day to raise awareness of the negative impact that the so-called Loudness Wars have had on audio quality. The event was a success and has grown in popularity each year, with industry support from Solid State Logic, Bowers and Wilkins, and TC Electronic.
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The measured dynamic range (DR) of a digital system is the ratio of the full scale signal level to the RMS noise floor. The theoretical minimum noise floor is caused by quantization noise. This is usually modeled as a uniform random fluctuation between − 1 ⁄ 2 LSB and + 1 ⁄ 2 LSB.