Exact(60)
In (11), the right side are the past samples and the prediction coefficients, and the left side represents the predicted values.
The prediction coefficients are optimized locally inside each training set.
In four countries, three prediction coefficients remained significant.
Then the vector for the backward prediction coefficients is (20).
Linear prediction coefficients extracted from sustained vowels were used as features.
From (6), we can compute the prediction coefficients A K by minimizing ρ K.
The prediction coefficients describing the temporal envelope are mapped to Line Spectral Frequencies (LSFs) and quantized.
The forward prediction coefficients are used to extend the array forwardly.
The backward prediction coefficients are used to extend the array backwardly.
Prediction coefficients are obtained from the LS-based approach and LASSO penalization.
Late reverberation is estimated using reverberant speech and the estimated prediction coefficients.
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