Text-Dependent Speaker Verification System Using Module Matching Algorithm
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A text-dependent speaker verification system using module matching algorithms is designed to authenticate speaker identity through voice analysis. This system employs text-dependent module matching algorithms to analyze and compare acoustic features across different speech samples, determining whether they originate from the same individual. The implementation typically involves feature extraction modules (such as MFCC or spectrogram analysis), pattern matching components (using DTW or GMM algorithms), and threshold-based decision logic. Suitable for various applications including voice recognition systems, speech synthesis validation, and security authentication protocols, the system aims to provide accurate and reliable speaker identification to ensure information security and data integrity. Key functions may include voiceprint template creation, real-time feature comparison, and confidence scoring mechanisms for authentication decisions.
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