Application-oriented audio watermark benchmark service

Methodologies and tools for watermark evaluation and benchmarking facilitate the development of improved watermarking techniques. In this paper, we want to introduce and discuss the integration of audio watermark evaluation methods into the well-known web service Watermark Evaluation Testbed (WET). WET is enhanced by using. A special set of audio files with characterized content and a collection of single attacks as well as attack profiles will help to select special audio files and attacks with their attack parameters.

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