A mode-constrained corpus-based synthesis strategy was developed for fundamental frequency (F0) contours of Japanese sentences. In the training phase, the relationship between linguistic factors and the command values (amplitudes and locations) of F0 contour generation process model was learned for a prediction module; a neural network in the current paper. Input parameters consist of linguisti...

A training set is a special set of labeled data providing known information that is used in the supervised learning to build a classification or regression model. We can imagine each training instance as a feature vector together with an appropriate output value (label, class identifier). A supervised learning algorithm deduces a classification or regression function from the given training set...

Abstract Partial ranked set sampling (PRSS) is a cost-effective method. It combination of simple random sample (SRS) and (RSS) designs. The PRSS method allows flexibility for the experimenter in selecting when it either difficult to rank units within each with full confidence or experimental are not available. In this article, we introduce define likelihood function any probability distribution...