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The automatic evaluation of CP (Cleft Plate) speech has various clinical applications. In this work, automatic classification of hypernasality levels and detection of consonant omission methods are proposed. Considering that the data collection is a major bottleneck in the field of CP speech signal processing, an extensive CP speech database is used. This database is collected over 10 years by the...
The speech of cleft palate (CP) patients has typical characteristics. Hypernasality and low speech intelligibility are the primary characteristics for CP speech. In this work, an automatic evaluation of different levels of hypernasality and speech intelligibility algorithm for CP speech was proposed, in order to provide an objective tool for speech therapist. To identify different levels of hypernasality,...
existing web map systems have integrated multi-scale geographical information and supplied friendly visualization interfaces. Furthermore, volunteered geographical information, which is captured and released on web map framework, is an essential source for emergency surveying and mapping supports. However, the emergency mapping service on web map has more uncertainty. This paper proposes an Optimal...
Sequence data plays an important role in data analysis applications, such as sequence classification. One important aspect of sequence data analysis is to obtain the labeled sequence data and use a machine learning model to predict the sequence structures. Conditional Random Fields (CRF) is such a machine learning method which is popular used in sequential data analysis. This is because that CRF can...
The poly(A) signal patterns surrounding the poly(A) site in model plant Arabidopsis thaliana were generated, selected and verified. First, candidate nucleotide patterns of different signal regions were generated based on their conservatism, using the TFxIDF index of vector space model that is widely used in text categorization. Then, effective features were selected through a genetic algorithm based...
We consider the super convergence of hyperbolic problem. Solving by biquadratic elements, we obtain a fourth order(rather than third order) gradient super convergence results for hyperbolic equations.
We study two point boundary value problem with small periodic coefficients. It is difficult to obtain the numerical solution of the problem with high accuracy by using finite element method directly. A multiscale finite element method with high accuracy and its error estimate are presented by using homogenization method and multiscale asymptotic expansion and projective interpolation. The rigorous...
We consider the Neumman boundary value problem of second order elliptic equation with oscillating periodic coefficients in perforated domains. It is very difficult to solve the problem by using numerical methods directly, such as finite element method and finite difference method, due to the huge computing scaling. Using homogenization method, two-scale asymptotic expansion and projective interpolation,...
The large-scaled worm infestation promotes the investigation of worm character. The current research of worm character can be classified into three categories: mathematical modeling of worm, emulation based on testbed, and package level worm simulation. However, in spite of the higher accuracy, the latter two methods require a high power of memory and computation, which poses a challenge to the large-scaled...
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