Wavelet Neural Network PNN for Speaker Recognition
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This article presents a speaker recognition program implementation utilizing Wavelet Neural Network PNN (Probabilistic Neural Network) architecture. The system performs speaker identification through voice signal analysis by extracting acoustic features using wavelet transforms and classifying them through PNN's probabilistic pattern matching. The implementation holds significant importance for speech recognition technology development as it enables better understanding of voice signal characteristics and patterns. Key algorithmic components include wavelet decomposition for multi-resolution feature extraction and PNN's parallel processing for efficient speaker modeling. Potential application scenarios include security monitoring systems, smart home devices, and biometric authentication platforms. We hope this article provides valuable insights and practical guidance to promote advancements in speech recognition technology.
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