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In this paper we present a new method for nonlinear compensation of mismatches, e.g. additive noise, on clean and noisy speech recognition. We were inspired by the human recognition system in development and implementation of a new Bidirectional Neural Network (BNN). This procedure, results in improvement of input features and consequently increasing the overall recognition accuracy. The feedforward...
In this paper, we propose a novel method for the detection of myocardial ischemic events from electrocardiogram (ECG) signal, using the Discrete Wavelet Transform (DWT) technique and Support Vector Machines (SVM). The ST-T Segment is obtained based on the detection of R peak location based on the well-known Pan-Tompkins method. Then ratio of energy in the DWT approximation coefficients rather than...
Identification of voice disorders has been a vital role in our life nowadays. Acoustic analysis can be useful tool to diagnose voice disorders as a complementary technique to other medicine methods such as Laryngoscopy and Stroboscopy. In this paper, we scrutinized feature reduction techniques such as principal component analysis (PCA) and linear discriminant analysis (LDA) as feature subset extraction...
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