Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/7784
標題: 強健式特定文字之語者驗證系統
A Robust Text Dependent Speaker Verification System
作者: 林幸民
xing-min-lin
關鍵字: 音量正規化;倒頻譜正規化
出版社: 電機工程學系
摘要: 
摘要
隨這電腦產業的蓬勃發展,人們對於安全性有更高的要求,高辨識率的語者驗證是不可或缺,但在安靜的實驗室內,要的到高辨識率的語者驗證是不難,當在不同通道時,辨識率可能會大幅的下降,在不同通道的情況下怎麼提高辨識率,是本論文要要討論的課題
在本論文中,我採用一些吵雜環境和安靜環境下和不同通道下的語料來做比對,在系統中,我加了音量的正規化,和倒頻譜正規化(包括Cepstral Mean Subtraction)並比較不同主機不同麥克風對本系統的影響。

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.
URI: http://hdl.handle.net/11455/7784
Appears in Collections:電機工程學系所

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