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We start by presenting performance evaluations in terms of acceleration and efficiency.
This setup allowed us to perform evaluations in terms of both practicality and robustness of various reverberant conditions.
This paper describes these subjective evaluations in terms of reproducing such very high frequency components in musical sound.
It shows that the ATMDE has the better statistically quality and robustness than AATM under the same number of function fitness evaluations in terms of the selected performance criteria.
Fig. 2 Evaluations in terms of SIA for the TIMIT, SITW, and NIST 2008 databases for widespread Gaussian mixture components {8, 16, 32, 64, 128, 256, 512} without handset and noise using the GMM-UBM algorithm.
The evaluations in terms of accuracy, diversity, computation time, and trade-offs among these metrics reveal that the best-performing algorithm in terms of accuracy remains consistent regardless of the input-data characteristics.
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The in-service teachers define their evaluation in terms of who to evaluate why to evaluate, what to evaluate, how to evaluate and when to evaluate.
They are not apt for evaluation in terms of truth.
This is typically limited to theoretical performance evaluation in terms of communication quality and error rates.
Further performance evaluation in terms of transmission quality is also presented.
An evaluation in terms of time to data is as important as the technical capabilities.
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