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Showing 1 to 3 of 3 for “"Dataset preprocessing"”.
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Controlling Emotional Text to Speech Using Complex Adverbial Phrases
… purposes of this study. Utilizing the LibriTTS dataset, the Tacotron2 model is trained under two experimental conditions: one incorporating adverbial modifiers into the input text and the other without. The dataset preprocessing involves embedding descriptions using word embeddings and encoding …
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K-means landscapes: exploring clustering solution spaces using energy landscape theory
… We analyse K-means landscapes for Fisher’s Iris dataset, the glass identification dataset, and many variations in which we alter their properties. For K-means the number of clusters must be prespecified, and we consider the effect of that choice on the Iris landscapes. K-means landscapes are also …
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Using Neural Networks to Provide Local Weather Forecasts
… is rendering accurate predictions with noisy datasets, there is currently not a significant amount of research focusing on whether ANNs are capable of producing accurate forecasts of relevant weather variables from small-scale, imperfect datasets. Also, there is not a significant amount of …