Discrimination Method of Synthetic Speech Using Pitch Frequency against Synthetic Speech Falsification

• OGIHARA Akio

  Department of Computer and Systems Sciences, Graduate School of Engineering, Osaka Prefecture University

• UNNO Hitoshi

  Department of Computer and Systems Sciences, Graduate School of Engineering, Osaka Prefecture University

• SHIOZAKI Akira

  Department of Computer and Systems Sciences, Graduate School of Engineering, Osaka Prefecture University

抄録

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.

収録刊行物

• IEICE transactions on fundamentals of electronics, communications and computer sciences

  IEICE transactions on fundamentals of electronics, communications and computer sciences 88 (1), 280-286, 2005-01-01

  一般社団法人電子情報通信学会

キーワード

• speaker verification
• biometrics
• synthetic speech
• pitch frequency

詳細情報

• CRID: 1573105977301287040
• NII論文ID: 110003213236
• NII書誌ID: AA10826239
• ISSN: 09168508
• 本文言語コード: en
• データソース種別:
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