This effect during the preweanling period is observed only after a short interval of time between training and testing.
A domain adaptation method is adopted to minimize the maximum mean discrepancy between training and testing data.
This chapter provides an overview of an automatic speech recognition system and describes sources of speech variability that cause mismatch between training and testing.
In addition, lesioned rats showed profound impairment in the novel object recognition memory task, when a 1-h delay was used between training and testing.
The maximum a posteriori (MAP) criterion is popularly used for feature compensation (FC) and acoustic model adaptation (MA) to reduce the mismatch between training and testing data sets.
The performance of an automatic speech recognition system, however, degrades drastically when there is a mismatch between training and testing conditions.
The better results in this case stem from the PL classifier not making a direct assumption about the type of noise that causes the mismatch between training and testing conditions (unlike the adaptive approach).
Meanwhile, OSFCM defines an optimized objective function that adopts the average distance measure between training and testing samples to lead the clustering process, and further applies training samples to partition matrix initialization for raising pattern recognition efficiency and avoiding local minimum.
To achieve the best performance model, a scoring table was proposed considering several factors including coefficient of determination, sum of errors, difference between training and testing errors, sum of residuals, deviation of predicted results from experimental one and complexity and generality of the models.
Thus, eventually, the similarity of utterances' content between training and testing data was affecting the performance.
Open image in new window Fig. 6 Matching between training and testing samples in the sunglasses dataset Open image in new window Fig. 7 Matching between training and testing samples in the scarf dataset.
