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Both β-adrenergic agonists improved carcass characteristics; although greater improvements were obtained with ZH than RH for most carcass characteristics.
For the combination of speech enhancement with deep learning (either in the hybrid model or when using BN features as an intermediate representation), the baseline was not improved on average, and no significant improvements were obtained when combining the speech enhancement with auditory features for SimData of the REVERB challenge.
Great improvements were obtained on specific calibration of the connections.
These improvements were obtained at all nitrocarburizing times.
However, at reaction times ranging from 18 to 24 h, no further improvements were obtained.
Substantial performance improvements were obtained with the LPC-based cepstral coefficients (LPCCs).
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Further improvements are obtained by combining inflation and tapering.
Higher performance improvements are obtained for two-component optimization.
While less improvements are obtained for broadband noises (e.g., N1 and N3).
Significant improvements are obtained in the performance with normalization of these three parameters.
Further improvements are obtained when we isolate flows using FQ alongside aggregate rate-based scheduling.
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