Speaker Verification System Based on Probabilistic Neural Networks
نویسندگان
چکیده
Because of their good generalization properties, Probabilistic Neural Networks (PNNs) were chosen as classifiers for the Speaker Verification system presented here. Their design is straightforward and does not depend on the training, and they are built only for a fraction of the back propagation ANNs training time [1]. The PNNs need much more neurons, compared to back propagation ANNs, which leads to increased complexity, higher computational and memory requirements. Nevertheless, the Speaker Verification system presented here works in real-time on common personal computers.
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