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Neural Networks

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Backpropagation is one of the several ways in which an artificial neural network (ANN) can be trained. It is a supervised training scheme, which means, it learns from labeled training data. In simple terms, BackProp is like “learning from mistakes. “The supervisor corrects the ANN whenever it makes mistakes.” Initially, all the edge weights are randomly assigned. For every input in the training dataset, the ANN is activated, and its output is observed. This output…

Perceptron is one of the simplest forms of a neural network model. The following code snippet is a simple version of such a neural network using Matlab. Before using it please read some background information at wikipedia : https://en.wikipedia.org/wiki/Perceptron

Introduction Speech is one of the fastest and most natural ways of communication between humans. The speech signal contains not only the message but also necessary information like the emotions of the speaker [1]. Therefore, Speech emotion recognition (SER) is a research field that based on speech recognition but deals with the recognizing the emotional state of the speaker. Speech emotion recognition can have applications between a natural man and machine interaction. Such as web…