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  2. Loudness - Wikipedia

    en.wikipedia.org/wiki/Loudness

    Loudness, a subjective measure, is often confused with physical measures of sound strength such as sound pressure, sound pressure level (in decibels), sound intensity or sound power. Weighting filters such as A-weighting and LKFS attempt to compensate measurements to correspond to loudness as perceived by the typical human.

  3. Sound localization - Wikipedia

    en.wikipedia.org/wiki/Sound_localization

    Loudness: Distant sound sources have a lower loudness than close ones. This aspect can be evaluated especially for well-known sound sources. Sound spectrum: High frequencies are more quickly damped by the air than low frequencies. Therefore, a distant sound source sounds more muffled than a close one, because the high frequencies are attenuated.

  4. Sound intensity - Wikipedia

    en.wikipedia.org/wiki/Sound_intensity

    Sound intensity is not the same physical quantity as sound pressure. Human hearing is sensitive to sound pressure which is related to sound intensity. In consumer audio electronics, the level differences are called "intensity" differences, but sound intensity is a specifically defined quantity and cannot be sensed by a simple microphone.

  5. Weber–Fechner law - Wikipedia

    en.wikipedia.org/wiki/Weber–Fechner_law

    The Weber contrast is defined as = /, and Weber's law says that should be constant for all . Human vision follows Weber's law closely at normal daylight levels (i.e. in the photopic range ) but begins to break down at twilight levels (the mesopic range) and is completely inapplicable at low light levels ( scotopic vision ).

  6. Stevens's power law - Wikipedia

    en.wikipedia.org/wiki/Stevens's_power_law

    Consistent with this, Luce (1990, p. 73) observed that "by introducing contexts such as background noise in loudness judgements, the shape of the magnitude estimation functions certainly deviates sharply from a power function". Indeed, nearly all sensory judgments can be changed by the context in which a stimulus is perceived.

  7. Signal-to-noise ratio - Wikipedia

    en.wikipedia.org/wiki/Signal-to-noise_ratio

    The plots at the bottom show the signal intensity in the indicated row of the image (red: original signal, blue: with noise). Signal-to-noise ratio ( SNR or S/N ) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise .

  8. Equal-loudness contour - Wikipedia

    en.wikipedia.org/wiki/Equal-loudness_contour

    The first research on the topic of how the ear hears different frequencies at different levels was conducted by Fletcher and Munson in 1933. Until recently, it was common to see the term Fletcher–Munson used to refer to equal-loudness contours generally, even though a re-determination was carried out by Robinson and Dadson in 1956, which became the basis for an ISO 226 standard.

  9. Phon - Wikipedia

    en.wikipedia.org/wiki/Phon

    Equal-loudness contours. The phon is a logarithmic unit of loudness level for tones and complex sounds. Loudness is measured in sones, a linear unit.Human sensitivity to sound is variable across different frequencies; therefore, although two different tones may present an identical sound pressure to a human ear, they may be psychoacoustically perceived as differing in loudness.