Examples of 'masking threshold' in a sentence
Meaning of "masking threshold"
masking threshold: In audio signal processing, the level above which a signal is perceived as audible, and below which it is masked by other sounds. This concept is used to optimize the quality of audio recordings and transmissions
How to use "masking threshold" in a sentence
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masking threshold
Loudness absolute and relative to masking threshold.
The masking threshold is established by applying a model of human perception.
The next step is to calculate the noise masking threshold.
The masking threshold in each bid provides the allowed noise spectrum.
Summing the partial thresholds to define the global masking threshold.
In this case, a partial masking threshold can be computed as described previously.
These signal losses are unproblematic if they are below the masking threshold.
Computing a partial masking threshold for each element of the spectrum ;.
The allocation function establishes allocation values in accordance with psychoacoustic principles based upon a masking threshold.
In this document, an approximate masking threshold is computed for each line of the spectrum.
The filter coefficients Bi are derived from the masking threshold.
Computing a partial masking threshold for predetermined components or component groups in the spectrum ;.
The noise remains inaudible, as long as it corresponds to the psychoacoustic masking threshold.
Determining at least one frequency masking threshold to be applied on the second sub-band, and.
Figure 9 presents a flow diagram illustrating processing performed to determine an estimated masking threshold function.
See also
The masking threshold depends upon the frequency, the sound pressure level of the masker.
Thereby, the prefilter normalizes the input signal with regard to its masking threshold.
Here, the masking threshold value changes in accordance with the input acoustic signal data.
Accordingly, by carrying out inverse convolution processing, the masking threshold is obtained from the level a.
Then the masking threshold for other sub bands, especially the neighboring sub band, is large.
Preferably, the first encoding branch furthermore includes a psychoacoustic model for additionally applying a psychoacoustic masking threshold.
Advantageously, the masking threshold is determined for a sub-band, by a convolution between,.
Therefore, a more logical choice for A would be a value based on the local masking threshold.
This means that the masking threshold in said sub-band ( s ) is also high.
Fig . 14 illustrates a hypothetical temporal psychoacoustic masking threshold.
The output of the frequency masking threshold computing module 66 is connected to a frequency conversion module 69.
Fig . 14 is a graphical schematic illustration of a hypothetical temporal psychoacoustic masking threshold.
The result is the estimated masking threshold function which is provided to bit allocation processor 520.
Figure 9 presents the processing performed by processor 520 to determine the estimated masking threshold function.
The model predicts a masking threshold Θ ( f, t ) for each segment of the unenhanced audio mix.
For example, a time - and frequency-dependent masking threshold may be computed.
M ( j ) is the masking threshold for said sub-band of index j, and.
For each such determined coefficient or sub-band, a masking threshold is determined in step 214.
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