Used Digital Audio Watermarking for Windows?


Digital Audio Watermarking Analysis

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Digital Audio Watermarking is a free Windows application designed for embedding information into audio files. This utility allows users to protect their audio content by adding a watermark that can be detected later for verification purposes. It is particularly useful for artists, producers, and anyone needing to safeguard their intellectual property. The program supports various audio formats and provides a straightforward interface for users to easily navigate its features.

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The application offers functionalities such as customizable watermark settings, batch processing capabilities, and detailed analysis of embedded watermarks. Users can extract and verify these watermarks, ensuring the integrity and authenticity of their audio files. With its focus on audio protection, Digital Audio Watermarking serves as a valuable tool for those in the creative industry looking to maintain ownership of their work.


Used Digital Audio Watermarking for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
1.0
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows ME
  • Windows Server
  • Windows Vista
  • Windows 2003
  • Windows 98
  • Windows 7
  • Windows NT
  • Windows 10
  • Windows XP
  • Windows 8
  • Windows 2000
Additional Requirements
Matlab
POPULARITY
Total Downloads
796
Downloads Last Week
0

Report Software

Last Updated


Developer’s Description

Get a Digital Audio Watermarking Matlab source code.
The outstanding progress of digital technology has increased the ease with which digital data is reproduced and retransmitted. However, since the advantages of such a progress are broadly available, they offer equally increasing potential to both legal and unauthorized data manipulation. Consequently, the necessity arises for copyright protection of digital products against unauthorized recording attempts, knows as data piracy. Current research in image, audio and video copyright protection exploits the fact that the human visual and audio perception cannot detect slight changes in certain temporal or frequency domains of the image and the audio signal, respectively. This property is called masking, according to which a faint but perceptible signal becomes non-perceptible in the presence of another one under certain conditions. Most research methods consider a watermark signal produced in a unique way by a function of one or more input keys. These keys can be both owner and signal dependent and generate a signal which is embedded on the original one. The embedding signal is known as a watermark or copyright label. Temporal and frequency characteristics of the original signal should be taken into account in the watermark casting process to reduce perceptible distortions in the watermarked signal. Each individual that produces or possesses digital data owns a unique key that identifies its legal possession and is required for the watermark detection. Besides copyright purposes, a watermark serves authentication purposes, as well. A watermark has to be statistically undetectable by others to prevent the efforts of its unauthorized removal. This condition is fulfilled if the potential number of keys that produce distinct watermarks is large enough to ensure statistical safety. The detection scheme should be as statistically reliable as possible. False rejection or acceptance of the existence of the watermark should be minimal. Finally, a watermark has to be robust to signal manipulation and impossible to be removed without significant alteration of the signal. In other words, a pirate should have to destroy the audio signal before he accomplishes to destroy the watermark. The robustness should extend to common signal processing operations, such as filtering, compression, resampling, requantization, cropping, noise, D/A conversion.

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AI Assisted Content Disclosure

Content created and reviewed by Softonic with information obtained from Luigi Rosa, using AI.

CNET's editorial team was not involved in the creation of this content. Opinions, analysis and reviews were not provided by CNET.