Sentence examples for masking thresholds for from inspiring English sources
So the masking thresholds for the transformed signals can be derived from the masking threshold of the original signals as T C M = T C S = T C T ≤ min ( T C 1, T C 2, T C 3 ) (14).
Since the sub-band signal is the product of its FDLP envelope and residual (carrier), the masking thresholds for the residual signal are obtained by subtracting the dB SPL of the envelope from that of the sub-band signal.
This accounts for the dependence of masking thresholds on the nature of the maskers.
T C 1, T C 2 and T C 3 are the masking thresholds calculated for the original signals.
To derive the masking threshold for 3D-M/S signals, we reference the deducing method in [23] and expand it to channel triple case.
In (8), the magnitude of the coefficients is lower bounded by the level of masking threshold for improving the transmission performance while maintaining the audio quality [12].
In this section, we describe the SSA algorithm incorporating the masking threshold for achieving a good trade-off between the transmission performance and audio quality.
The ATH, original PSD, noise and tone maskers, and global masking threshold for part of the utterance "three six seven" corrupted with subway noise of 5 dB SNR is shown in Figure4. Figure 4 The ATH, original PSD, noise and tones, and global masking threshold for part of the utterance "three six seven" corrupted with subway noise of 5 dB SNR.
The figure shows the temporal masking threshold for a high-energy region of sub-band signal, quantization noise for the WB-FDLP codec without TM and for the codec with TM.
According to the theory of auditory entropy [31, 34], the masking threshold for the frequency components below 172 Hz is approximately −16 dB below the signal power regardless of signal tonality.
Analogy to the procedures adopted for watermark embedding, the extraction process starts with taking the DWPT of the watermarked audio and then deriving the masking threshold η ˜ for each packet node.
