Speech Recognition Using Artificial Neural Networks
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Resource Overview
This project implements speech recognition by combining LPC (Linear Predictive Coding) parameters extracted from audio signals with artificial neural networks for classification. The implementation demonstrates feature extraction techniques and neural network architecture suitable for speech pattern recognition.
Detailed Documentation
In this documentation, we present speech recognition technology based on artificial neural networks (ANNs), explaining how it integrates LPC parameters extracted from speech signals with neural network architectures for identification. The implementation typically involves preprocessing raw audio data, computing LPC coefficients to represent spectral characteristics, and feeding these features into a multi-layer perceptron or other ANN structures for classification. The neural network training process employs backpropagation algorithms to optimize weights for accurate phoneme or word recognition. We hope this information provides valuable insights and enhances your understanding of practical ANN applications in speech processing systems.
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