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The mean value will be lower for descending sequences. In case of audiometry, the difference of the means in case of ascending vs. descending sequences has a diagnostic importance. In the final step, the average of the previously calculated means will result in the absolute threshold. Method of constant stimuli:
Note that, given the logarithmic characteristics of Hz, for both music and speech perception results should not be reported in Hz but either as percentages or in STs (5 Hz between 20 and 25 Hz is very different from 5 Hz between 2000 and 2005 Hz, but an ~18.9% or 3 semitone increase is perceptually the same size difference, regardless of ...
For the purposes of presenting moving images, the human flicker fusion threshold is usually taken between 60 and 90 Hz, though in certain cases it can be higher by an order of magnitude. [5] In practice, movies since the silent era are recorded at 24 frames per second and displayed by interrupting each frame two or three times for a flicker of ...
Tones between 4 and 16 Hz can be perceived via the body's sense of touch. Human perception of audio signal time separation has been measured to be less than 10 μs. This does not mean that frequencies above 100 kHz (1/ 10 μs) are audible, but that time discrimination is not directly coupled with frequency range. [7] [8]
A WaveTek stimulator was used to measure absolute threshold of touch by "tapping" a participant's finger pad with a 2 mm diameter probe. Lindblom found that on average, there was a 27% difference in threshold level between slow and fast mechanical pulses on a participant's finger pad. [21]
Mean RT for college-age individuals is about 160 milliseconds to detect an auditory stimulus, and approximately 190 milliseconds to detect visual stimulus. [29] [43] The mean RTs for sprinters at the Beijing Olympics were 166 ms for males and 169 ms for females, but in one out of 1,000 starts they can achieve 109 ms and 121 ms, respectively. [44]
Dynamic range in analog audio is the difference between low-level thermal noise in the electronic circuitry and high-level signal saturation resulting in increased distortion and, if pushed higher, clipping. [23] Multiple noise processes determine the noise floor of a system.
[6] [7] The ERB can be converted into a scale that relates to frequency and shows the position of the auditory filter along the basilar membrane. For example, ERB = 3.36 Hz corresponds to a frequency at the apical end of the basilar membrane, whereas ERB = 38.9 Hz corresponds to the base, and a value of 19.5 Hz falls half-way between the two. [6]