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The general shape of log spectra is denoted by E(f).
The log spectra are computed by taking the element-wise logarithm of the energy in the cochleagram matrix.
In training, each clean utterance is normalized to a 60-dB energy level, and the log spectra are calculated as described in Section 2.1.
In [8], we can find an AED approach that directly models log spectra patches rather than pre-designed features using deep neural networks (DNN).
For each speaker, we build a 128-dimensional GMM from the log spectra of their clean utterances and use a diagonal covariance matrix for each Gaussian for efficiency and tractability.
It is proposed to estimate the log speech spectrum at a hypothetical close-talking microphone that should have good quality by multiple regression of the log spectra of several distant microphone signals.
Similar(53)
Repeat the above procedure to obtain the refined log spectrum, log S ̂ n ωmt , of the noise signal.
The inverse DWT is applied to the thresholded wavelet coefficients to obtain the refined log spectrum.
In[13], the log spectrum of each image is analyzed and the spectral residual is obtained.
Log spectrum L f) from the down-sampled image is obtained as in (6) L f)= log left( B(f right) (6) 3.
The model in Equation 8 is well suited for wavelet denoising techniques [36] [39] for eliminating the noise η and obtaining a better estimate of the log spectrum.
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