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Table 2 Critical Bands for 2048-point DFT, sampling frequency 48 kHz [40].
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Note that in both cases, the noise and tonal sounds need to occur within the same critical band for simultaneous masking to occur.
Existence of the critical band for TTS was proved by two of the present authors from the results of their experiment.
Our results therefore support the notion that the critical band of spatial frequencies for face recognition in humans and machines follows from inherent properties of face images, and that the use of these frequencies is associated with optimal face recognition performance.
Comparisons of time frequency analysis methods are performed, and an OWPT with 21 critical bands is designed for feature extraction of a sound, as is a three-layer back-propagation ANN for sound quality (SQ) recognition.
Short-term Fourier transform (STFT) spectrogram representations of the reference and degraded signals are created using critical bands between 150 and 3,400 Hz for narrowband testing and including five further bands to 8,000 Hz for wideband.
Seo et al. [13] first divided the audio spectrum (300 ∼ 5,300 Hz) into 16 critical bands, then calculated a normalized frequency centroid for each critical band and used the 16 frequency centroids as the fingerprint of an audio frame.
One advantage of the proposed synchronization technique is that it only affects the spectrum centralized in the first two critical bands, thus leaving the rest critical bands available for information hiding.
For the third to the fifteenth critical bands in each frame a. Compute the DWPT coefficients.
where N b is the number of considered critical bands.
Here, we divide the audible range into 24 critical bands.
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