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However, data-driven forecasting models trained using the available Big Data may be a possible solution.
Meanwhile, for the experiments using simulated dataset, we experimented on the use of speaker models trained using normalized MFCC only.
Fig. 7 Precision, recall and F-measure values of the models trained using different corpora on the CEMPs, chapati, and BioS patent corpora.
For the experiments using real dataset, we experimented on the use of speaker models trained using original MFCC and also normalized MFCC (by CMN).
Increasing the number of models trained using overlapping ranges of C 50 (i.e. MS8, MS11, MS14 and MS18) results in further WER reductions.
Additionally, this work proposes a comparison study of models trained using fully-automatic data acquisition and annotation against models that were partially annotated.
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where is a model trained using both and.
The linear chain CRF model with bigram mode was used, with the model trained using the limited memory BFGS algorithm.
It is unclear if a model trained using this dataset will yield similar results when evaluated on real world data.
Therefore, the ANN model trained using the experimental data, was precise enough for predicting the disruption responses.
The results show that the Artificial Neural Network model trained using Levenberg Marquardt algorithm has produced more accurate results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com