Sentence examples for voice dataset from inspiring English sources

(c) Backing: voice dataset.

(a) Solo: voice dataset.

Alg2 obtained a higher IPS score for the backing tracks with the voice dataset.

For both algorithms, scores obtained for the instrument dataset are higher than the ones obtained with the voice dataset.

This section shows total accuracies of four preprocessing methods on each voice dataset.

The NMF method, the previous CWT method, and the proposed AS-CWT method can affect the conversion of all emotional voice datasets.

The best value is 1 and the worst is 0. Figure 18 shows a comparison of average F1 measure for different voice datasets and different preprocessing methods.

A comparison in terms of ROC AUC which is normalized to [0, 1] for different voice datasets and different preprocessing methods is shown in Figure 19.

A comparison of different voice datasets and different preprocessing methods, in terms of average Kappa statistic, is shown in Figure 15.

From Table 8, we can reach a conclusion that SFX with FS is indeed the most suitable preprocessing method for all types of voice datasets.

The objective of our experiments is to compare the performance of those four preprocessing methods on four kinds of voice datasets when a collection of data mining classifiers are applied.