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This paper proposes a method to identify and assess different levels of anger from the speech utterances. Unlike the existing methods which only detect the emotion from speech, the proposed method not only detects but also labels the level of an emotion. A 75 dimensional feature vector has been extracted from each audio clip and is used for training and testing. For classification and assessment the...
A novel approach was developed to recognize vowels from continuous tongue and lip movements. Vowels were classified based on movement patterns (rather than on derived articulatory features, e.g., lip opening) using a machine learning approach. Recognition accuracy on a single-speaker dataset was 94.02% with a very short latency. Recognition accuracy was better for high vowels than for low vowels....
In this paper, a new constructive training algorithm for feed forward MLP neural networks has been developed for isolated word recognition. An incremental training procedure has been employed where the training patterns are learned incrementally, i.e one by one. This algorithm started with a single training pattern and a single hidden-layer using one neuron. During neural network training, the hidden...
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