Watermarking Based on Compressive Sensing for Digital Speech Detection and Recovery †

Watermarking Based on Compressive Sensing for Digital Speech Detection and Recovery †

In this paper, a novel imperceptible, fragile and blind watermark scheme is proposed for speech tampering detection and self-recovery. The embedded watermark data for content recovery is calculated from the original discrete cosine transform (DCT) coefficients of host speech. The watermark informati...

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Bibliographic Details
Main Authors: Wenhuan Lu, Zonglei Chen, Ling Li, Xiaochun Cao, Jianguo Wei, Naixue Xiong, Jian Li, Jianwu Dang
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Sensors
Subjects:
digital watermarking
self-recovery
speech detection
discrete cosine transform
compressive sensing
Online Access:http://www.mdpi.com/1424-8220/18/7/2390

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