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Erschienen in:
Image Noise and Digital Image Forensics Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

An Authentication and Recovery Scheme for Digital Speech Signal Based on DWT

verfasst von : Jing Wang, Zhenghui Liu, Junjie He, Chuanda Qi

Erschienen in: Digital-Forensics and Watermarking

Verlag: Springer International Publishing

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Abstract

A tamper recovery scheme for speech signal based on digital watermark is proposed. In this paper, a compression method based on discrete wavelet transform is discussed, and one block-based embedding method for speech signal is explored. Firstly, speech signal is framed, scrambled and segmented. Secondly, frame number is embedded into the first two segments. The compressed signal of each frame after being scrambled is embedded into other two segments by using the block-based method. Attacked frames can be located by frame number. If watermarked speech is attacked, compressed signals are extracted to perform tamper recovery. Performance analyses indicate that the scheme proposed not only improves the accuracy of tamper localization and the security, but also has the ability of tamper recovery.

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Vorheriges Kapitel Digital Video Watermark Optimization for Detecting Replicated Two-Dimensional Barcodes
Nächstes Kapitel Enrichment of Visual Appearance of Aesthetic QR Code
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Metadaten
Titel
An Authentication and Recovery Scheme for Digital Speech Signal Based on DWT
verfasst von
Jing Wang
Zhenghui Liu
Junjie He
Chuanda Qi
Copyright-Jahr
2016
Buch
Digital-Forensics and Watermarking

Print ISBN: 978-3-319-31959-9

Electronic ISBN: 978-3-319-31960-5

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-31960-5_17