tailieunhanh - EURASIP Journal on Applied Signal Processing 2003:10, 993–1000 c 2003 Hindawi Publishing

EURASIP Journal on Applied Signal Processing 2003:10, 993–1000 c 2003 Hindawi Publishing Corporation Time-Scale Invariant Audio Data Embedding Mohamed F. Mansour Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55414, USA Email: mmansour@ Ahmed H. Tewfik Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55414, USA Email: tewfik@ Received 31 May 2002 and in revised form 22 December 2002 We propose a novel algorithm for high-quality data embedding in audio. The algorithm is based on changing the relative length of the middle segment between two successive maximum and minimum peaks to embed data. Spline interpolation is used to change. | EURASIP Journal onApplied Signal Processing 2003 10 993-1000 2003 Hindawi Publishing Corporation Time-Scale Invariant Audio Data Embedding Mohamed F. Mansour Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN 55414 USA Email mmansour@ Ahmed H. Tewfik Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN 55414 USA Email tewfik@ Received 31 May 2002 and in revised form 22 December 2002 We propose a novel algorithm for high-quality data embedding in audio. The algorithm is based on changing the relative length of the middle segment between two successive maximum and minimum peaks to embed data. Spline interpolation is used to change the lengths. To ensure smooth monotonic behavior between peaks a hybrid orthogonal and nonorthogonal wavelet decomposition is used prior to data embedding. The possible data embedding rates are between 20 and 30 bps. However for practical purposes we use repetition codes and the effective embedding data rate is around 5 bps. The algorithm is invariant after time-scale modification time shift and time cropping. It gives high-quality output and is robust to mp3 compression. Keywords and phrases data embedding broadcast monitoring time-scale invariant spline interpolation. 1. INTRODUCTION In this paper we introduce a new algorithm for high-capacity data embedding in audio that is suited for marketing broadcast and playback monitoring applications. The purpose of broadcast and playback monitoring is primarily to analyze the broadcasted content and collect statistical data to improve the content quality. For this class of applications the security is not an important issue. However the embedded data should survive basic operations that the host audio signal may undergo. The most important requirements of a data embedding system are transparency and robustness. Transparency means that there is no perceptual difference between the original and the .

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