Content Integrity Verification for G.729 Coded Speech

This paper proposes a method to extract speech features for content integrity verification of G. 729 coded speech, which could minimize the computation cost and reduce the sizes of the features. Experiments results show that the method is robust to common operations in speech transmission such as recompression, volume changing, re-sampling and transcoding, and also does well in tamper detection for its ability to distinguish content preserving operations from malicious modifications.