Sentence examples for between train and test from inspiring English sources
Given the rich and complex nature of the acoustic environment, data mismatch between train and test conditions is a major hurdle in data-driven audio processing systems.
Furthermore, the acoustic mismatch between train and test conditions (train with sFarsdat train and test using gFarsdat test or vice versa) intensifies the increase of WER.
For an iterated multi-step-ahead forecasting comparison the partition between train and test sets is done sequentially: as the prediction advances, past forecasts are successively incorporated to the training database in a recursive way.
To illustrate the impact of SNR mismatch between train and test for the environmental sniffing MMSR framework, Figure 3 shows the word error rate (WER) surface across the four noise types.
Furthermore, the trial orders were fully randomized and so any possible correlations between train and test data is not obvious and should not bias the data towards correct vs incorrect classification (Misaki et al., 2010).
We rotated ten times over all sets such that each instance served once during testing and training and guaranteed that no significant sequence similarity existed between train and test folds (EVAL>10-3).
Nonetheless, the overall ranking of the different module detection approaches does not change drastically between training and test scores.
Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages.
(3) The training set was all other drugs, excluding any drug that shared in its target set any of the targets contained in the test set, to avoid any sharing of genetic information between training and test set.
Moreover, many years of research have led to good techniques to reduce the impact of noise, distortion and mismatch between training and test conditions on the recognition accuracy.
To assess the extent of acoustic similarity between training and test strings, we use four simple measures corresponding to cues that are likely salient.
