Discrimination Method of Synthetic Speech Using Pitch Frequency against Synthetic Speech Falsification(Biometrics)(<Special Section>Cryptography and Information Security)
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概要
- 論文の詳細を見る
We propose discrimination method of synthetic speech using pitch pattern of speech signal. By applying the proposed synthetic speech discrimination system as pre-process before the conventional HMM speaker verification system, we can improve the safety of conventional speaker verification system against imposture using synthetic speech. The proposed method distinguishes between synthetic speech and natural speech according to the pitch pattern which is distribution of value of normalized short-range autocorrelation function. We performed the experiment of user verification, and confirmed the validity of the proposed method.
- 社団法人電子情報通信学会の論文
- 2005-01-01
著者
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Shiozaki Akira
The Department Of Computer And Systems Sciences Graduate School Of Engineering Osaka Prefecture Univ
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Ogihara Akio
The Department Of Computer And Systems Sciences Graduate School Of Engineering Osaka Prefecture Univ
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UNNO Hitoshi
the Department of Computer and Systems Sciences, Graduate School of Engineering, Osaka Prefecture Un
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Unno Hitoshi
The Department Of Computer And Systems Sciences Graduate School Of Engineering Osaka Prefecture Univ