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The average PSD within an auditory filter is then calculated as the PSD estimation results.
The spectral properties are shaped by an auditory filter bank, resembling the hearing threshold of the outer ear (third row).
From each auditory filter output, the modulation frequency and the modulation depth are estimated with a temporal envelope calculation.
The traditional auditory filter bank is not suitable to capture the speaker individuality of the speech signal[12, 23].
This roughness feature (also defined in Grey [10]) mainly consists in estimating a modulation index at the output of every auditory filter, which is called the partial roughness.
In[31], Glasberg and Moore relate center frequency and the ERB of an auditory filter as ERB f c = 24.7 4.37 f c 1000 + 1 (2).
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These sources have the same frequency range, so auditory filtering cannot separate them.
The DAPGF and OZGF responses are essentially a "missing link" between physiological, electrical, and mechanical models for auditory filtering.
After auditory filtering, the output of each channel is divided into frames of milliseconds with a frame shift of milliseconds.
CASA techniques imitate the human auditory filtering known as cochlear filtering, where time-frequency bins of the speech mixture are clustered using psychoacoustic cues such as the pitch period, temporal continuity, onsets and offsets, etc.
The techniques used to discover the new acoustic portal in toothed whales, provide a means to decipher auditory filtering, beam formation, impedance matching, and transduction.
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