CNN: A Speaker Recognition System using a Cascaded Neural Network

摘要

This work includes the design and implementation of both conventional, and neural network approaches to recognition of the speakers templates which are introduced to the system via a voice master card and preprocessed before extracting the features used in the recognition. The conclusion is that the system performance in case of neural network is better than that of the conventional one, achieving a smooth degradation when dealing with nolsy patterns and higher performance when dealing with noise-free patterns.