This paper reports an investigation of features relevant for classifying two speaking styles, namely, conversational speaking style and clear (e.g. hyper-articulated) speaking style. Spectral and prosodic features were automatically extracted from speech and classified using decision tree classifiers and multilayer perceptrons to achieve accuracies of about 71% and 77% respectively. More intere...

This paper investigates the hypothesis that cues involving the positioning of the lips may improve upon a system that performs a mapping from acoustic parameters to electropalatographic (EPG) information; that is, patterns of contact between the tongue and the hard palate. We adopt a multilayer perceptron as a relatively simple model for the acoustic-toelectropalatographic mapping and demonstra...

We describe a wordspotting algorithm based on a predictive neural model for a telephone speech corpus. Each keyword is modeled as a whole word. For keyword detection scoring we used a minimum accumulated prediction residual. We computed empirically a threshold value for rejecting non-keyword speech in place of building non-keyword models. We tested the algorithm with the TUBTEL telephone speech...

In this study, we propose a multi-layer perceptron with a glial network which is inspired from the features of glias in the brain. All glias in the proposed network generate independent oscillations, and the oscillations propagate through the glial network with attenuation. We apply the proposed network to the two-spiral problem. Computer simulations show that the proposed network gains a bette...

Abs t r ac t . Diabetes is the most common disease nowadays in all populations and in all age groups. Different techniques of artificial intelligence has been applied to diabetes problem. This research proposed the artificial metaplasticity on multilayer perceptron (AMMLP) as prediction model for prediction of diabetes. The Pima Indians diabetes was used to test the proposed model AMMLP. The re...

The prediction of bursty events on the internet is a challenging task. Difficulties are due to the diversity of information sources, the size of the internet, dynamics of popularity, user behaviors... On the other hand, Twitter is a structured and limited space. In this paper, we present a bursty event prediction method applied to the Twitter plateform. The proposed method uses tweet contents t...

The problem of selecting the best set of features for target recognition using a multilayer perceptron is addressed in this paper. A technique has been developed which analyzes the weights in a multilayer perceptron to determine which features the network finds important and which are unimportant. A brief introduction to the use of multilayer perceptrons for classification and the training rule...

Time series analysis is a major mathematical tool in hydrology, with the moving average being most popular model type for this purpose due to its simplicity. During last 20 years, various studies have focused on an important statistical characteristic, namely long-term persistence and simultaneous consistency at all timescales, when different timescales are involved simulation. Though these iss...