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Implemented Model for Masking Threshold
To produce the masking threshold from the spread function and the masker,
we need to know the tonality
and the spreading function
of the masker.
After an idea taken
MPEG-1 layer I [2], the following model for masking threshold
is used:
![\begin{displaymath}
M(z) = P(z_m) + SF(z-z_m) - k(t(z))z_m - l(t(z))\ {\rm (db)},
\end{displaymath}](img55.png) |
(14) |
where
is the frequency in barks for the masker,
is the masked
frequency in barks and
is the power of the masker in dB.
The functions
and
are experimentally found as a linear
combinations of constants for pure noise and pure tones:
![\begin{displaymath}
k(t) = 0.3t+0.5(1-t),\ {\rm and}
\end{displaymath}](img60.png) |
(15) |
![\begin{displaymath}
l(t) = 34t+20(1-t)
\end{displaymath}](img61.png) |
(16) |
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Download bosse.pdf