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Among those parallel approaches, a dynamic partitioning method is known to be the best solution so far.
Although traditional spectral subtraction suffers from a few problems that affect the quality of enhanced speech, the important source of distortion in this method is known to be the negative values encountered during subtraction that should be mapped to a spectral floor [35].
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Reference intervals are known to be method- and population-dependent.
Traditional multivariate methods are known to have weaknesses [ 9, 10].
The easiest method is known as the "full tang".
This method is known as the Laplacian.
Such a method is known as the operator splitting method.
This method is known as "the poor man's patent".
The method is known as prompt gamma activation analysis.
The method is known e.g. within Motivational Interviewing [ 71].
Their method is known as renormalization.
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