A Robust Text Dependent Speaker Verification System

• Main Authors: xing-min-lin, 林幸民
• Other Authors: 歐陽彥杰
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/73367737259637336248

碩士 === 國立中興大學 === 電機工程學系 === 92 === Abstract By the prosperity of computer industry，people have higher requests for the security environment. Thus, the need for the speaker verification with the high distinguishing rate and low cost is indispensable. In general, in the quiets laboratory, it makes no difference that the speaker verification rate can be both reached the high distinguishing rate. However, the distinguishing rate in the different channel can be carried a lot. Therefore, to improve the distinguishing rate in the different channel is the major issue in this thesis. In the thesis, a volume normalization and cepstral normalization is added to increase the speaker verification rate. We have test many voice data in quiet environment and also in noisy environment. We also test the speech in different channel. Simulation results show that using the cepstral normalization, can reduce the channel effect and increase the speaker verification rate. Using the volume normalization can also improve the speaker verification rate in quite environment.