This paper presents our winning audio classification system in MIREX 2010. Our system is implemented as follows. First, in the training phase, the frame-based 70dimensional feature vectors are extracted from a training audio clip by MIRToolbox. Next, the Posterior Weighted Bernoulli Mixture Model (PWBMM) is applied to transform the frame-decomposed feature vectors of the training song into a fi...

This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...

We propose a general model for joint inference in correlated natural language processing tasks when fully annotated training data is not available, and apply this model to the dual tasks of word sense disambiguation and verb subcategorization frame determination. The model uses the EM algorithm to simultaneously complete partially annotated training sets and learn a generative probabilistic mod...

Successful application of existing connectionist methods to continuous speech recognition requires the use or time-alignment procedures. These procedures. usually based on dynamic programming, provide means for supervising the training of neural networks. This paper describes two systems in which neural network classifiers are merged with dynamic programming (DP) time alignment methods to produ...