Double Feature Extraction for Text Dependent Speaker Verification System

• Main Authors: Sheng-Jyun Chang, 張勝鈞
• Other Authors: 歐陽彥杰
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/12043081480115871273

碩士 === 中興大學 === 電機工程學系所 === 95 === In recent years, speaker verification technique and its applications become extension of the scope and the importance of the study of speaker verification is increasing. In this thesis, we developed a combined feature extraction set and used in place of conventional LPC or MFCC feature only. The Linear Predictive Coding (LPC) and its Delta-cepstral coefficients in voice verification system have shown a good result in speaker verification. The use of Mel-Frequency Cepstral Coefficients (MFCC) that has twenty triangular filters to approximate entire speech features was also been used in speaker verification for many years. The experimental results show using the new LPCC-MFCC combined feature have better performance on text dependent speaker verification system.