Speaker Recognition Using Dynamic Time Warping (DTW) Method

This speaker recognition system implements the Dynamic Time Warping (DTW) method combined with both Linear Predictive Cepstral Coefficients (LPCC) and Linear Predictive Coding (LPC) parameters, significantly improving speaker identity verification accuracy. The program demonstrates robust recognition performance and can be widely applied in various domains including speech recognition systems and security authentication applications. Key implementation features include: - DTW algorithm for time series alignment of speech features - Feature extraction using both LPCC and LPC parameters for comprehensive vocal characteristic representation - Distance measurement and pattern matching techniques for speaker comparison - Configurable threshold settings for recognition decision making The system architecture typically involves preprocessing audio signals, extracting feature vectors, creating reference templates for enrolled speakers, and performing DTW-based matching against test utterances.