This paper proposes a unified framework for duration and intonation modeling in Mandarin TTS. In this framework, we design a novel parametric representation of mandarin intonation based on orthogonal polynomial approximation. By this representation, we can decompose F0 vector into 3 orthogonal polynomial parameters that are continuous scalars. Based on this vector-to-scalar decomposition, we ca...

Interpersonal accuracy correlates modestly across different domains. Although some research has explored factors that predict accuracy within specific domains of interpersonal judgment (e.g., social attributes), whether any variables might predict interpersonal accuracy generally across different domains remains in question. Subjective socioeconomic status (SES) has recently emerged as an impor...

Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with mixed type attributes. Most existing solutions suffer from one or both of the following drawbacks: Either they require input parameters which are difficult to estimate, or/and they do not adequately support mixed type attribute...

This paper proposes an algorithm for feature selection in the case of mixed data. It consists in ranking independently the categorical and the continuous features before recombining them according to the accuracy of a classifier. The popular mutual information criterion is used in both ranking procedures. The proposed algorithm thus avoids the use of any similarity measure between samples descr...

Many real-world classification algorithms can not be applied unless the continuous attributes are discretized and the interval discretization methods are used in many machine learning techniques. It is hard to determine the intervals for the discretization of numerical attributes that has an infinite number of candidates. And interval discretization methods are based on a crisp set, a value in ...

Additive manufacturing of metal parts involves phase transformations and high temperature gradients which lead to uneven thermal expansion contraction, and, consequently, distortion the fabricated components. The has a great influence on structural performance dimensional accuracy, e.g., for assembly. It is therefore critical importance model, predict ultimately, reduce distortion. In this pape...

Numerical attribute management is a usual preprocessing task in data mining. Most of the algorithms require the discretization of numerical attributes by splitting the continuous range of values into intervals. This task is critical in association rule induction since it has a significant influence in the quality of the induced rules. We have proposed a multivariate algorithm whose efficiency a...