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Discrete cosine transform (DCT) was then applied on the log powers.
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where is the log power of frequency f.
These are plotted against the relative log power values on the ordinate.
(2) Convert the log power spectrum into the cepstrum by using, a DCT matrix.
(3) The cepstra represent the curvatures of the log power spectra.
We use PCA projected (whitened) log power spectral density for the speech frames parametrization.
Convert back to the log power spectrum domain by using the inverse DCT: (10).
The radially average log power spectrum of each block was computed using MAGMAP filtering program (GEOSOFT MAGMAP [2007]).
i.e., the log multitaper power spectrum plus a known constant (log(L −ϕ(L)) can be written as the true log power spectrum plus approximately Gaussian noise η with zero mean and known variance σ η 2 [30].
Here, we show how, with the appropriate architectures, deep learning models can learn features directly from a naive feature (i.e., the log power spectrogram in this work).
The front-end consists of computing the log power spectrum and a frame basis, and stacking consecutive frames together as a two-dimensional feature.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com