关键词: 数字语音, 篡改检测, 言语情境分析, 背景噪声, 韵律特征, 音质特征

Abstract: An automatic detection method for digital speech tamper by means of stitching was proposed. This method was based on speaking condition analyses, which comprised background noise analysis and speaker fettle analysis. Speech signals were divided into speech and silence segments. For silence segments containing noise, features in time domain and frequency domain were extracted for each frame. For each speech segment, rhythm and timbre features were extracted. Features changing points of the silence segments and speech segments were detected separately based on Bayesian information criterion, and the tamper detection result was obtained by integrative decision. The experimental results show that the proposed method can detect and locate the stitching points accurately.

Key words: digital speech, tamper detection, speaking condition analysis, background noise, prosodic characteristic, speech quality characteristic