2007Unpublished venueRequires access

Audio Watermarking using Subband Modulation Spectra

Sascha Disch, Jürgen Herre, Julius Kammerl

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Abstract

Subband modulation spectra (SB-MS) have proven to be useful for many applications in audio signal analysis and audio signal processing. This paper presents a novel blind watermarking scheme for embedding and detecting a watermark in the subband modulation spectral domain representation of an audio signal. Some results of audio quality, data rate and robustness are presented. The scheme is shown to be robust to a number of attacks while providing excellent subjective audio quality.

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What this paper is about

Subband modulation spectra (SB-MS) have proven to be useful for many applications in audio signal analysis and audio signal processing. This paper presents a novel blind watermarking scheme for embedding and detecting a watermark in the subband modulation spectral domain representation of an audio signal. Some results of audio quality, data rate and robustness are presented. The scheme is shown to be robust to a number of attacks while providing excellent subjective audio quality.

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Available abstract

Subband modulation spectra (SB-MS) have proven to be useful for many applications in audio signal analysis and audio signal processing. This paper presents a novel blind watermarking scheme for embedding and detecting a watermark in the subband modulation spectral domain representation of an audio signal. Some results of audio quality, data rate and robustness are presented. The scheme is shown to be robust to a number of attacks while providing excellent subjective audio quality.

Key concepts: Digital watermarking, Audio signal, Computer science, Robustness (evolution), Sound quality, Speech recognition, Modulation (music), Audio signal processing

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