語音密碼之辨識研究

Vocal password recognition

劉佳格(Jia-Ge Liu)

指導教授 ： 丁肇隆教授 ； 謝傳璋

國立臺灣大學/工學院/工程科學及海洋工程學研究所/碩士(2014年)

https://doi.org/10.6342/NTU.2014.10309

摘要

本文是針對語者驗證的研究，詞句是固定的四個中文漢字，先以聲音能量法將詞句中各單字分別擷取出來。接著計算每個中文單字頻譜的一階、二階、三階次矩參數作為語者聲音的特徵頻率，以特徵頻率來辨識特定語者。將數據分成2組，一組是樣本組，另一組是測試組。以樣本組資料訂定識別的門檻與配分，再以測試組資料來驗証方法的準確性。最後，以三個不同的成語作實驗，分別得到90%、88%、90%的正確率。因此可以推論個人發音的頻譜特徵作為「語音密碼」的構想是可行的。

關鍵字

語音密碼 ； 語者驗證 ； 頻譜 ； 特徵頻率 ； 次矩

並列摘要

The purpose of this study is to identify speaker by vocal password recognition. Each password includes four Chinese characters. Once a examinee speaks a password, energy method was used to separate the characters in the password. The characteristic frequencies of each character were obtained by calculating its first, second and third moments of the amplitude spectrum. The characteristic frequencies were used to recognize speaker’s identities. The sampled data included data for training and testing. The training data set was used to obtain the threshold and scoring rule in recognition process. The testing data set was used to verify the accuracy of the recognition method. Three different Chinese phases were investigated. The identification rates for each phase were 90%, 88% and 90%. It is inferred that the proposed method for vocal password recognition is very feasible.

並列關鍵字

vocal password ； speaker verification ； spectrum ； characteristic frequencies ； moment

參考文獻

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