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- W221554235 abstract "In this paper, we propose a novel audio fingerprint- ing technique based on subband envelop hashing (SEH). In this approach, the discrete cosine transform (DCT) is applied to each subband of the perceptual spectrogram, and the lower-ordered DCT coefficients representing the subband envelopes are retained to generate multiple hash values. The corresponding database matching algorithm is also extended which allows for an efficient search in the database given a short query audio clip. The algorithm is implemented and compared with the Philips Robust Hash (PRH) algorithm proposed in (1), and experimental results show that the SEH algorithm achieves a significant improvement over the baseline system under various distortions. I. INTRODUCTION An audio fingerprint is a short summary of the content of an audio signal. The objective of an audio fingerprinting system is to identify short, unlabeled audio clips in an efficient and reliable way regardless of the audio format. The system con- sists of two fundamental processes: the fingerprint extraction stage and the database matching stage, as illustrated in Fig. 1. Given an unknown audio excerpt, the fingerprints are extracted and compared with the items in the database, and the metadata will be returned if the corresponding fingerprints are found in the database. The main difficulty in designing such a system comes from the high dimensionality, the significant variance of the audio data for perceptually similar content and the necessity to efficiently find the fingerprint in a huge collection of registered fingerprints (2). The application scenarios include broadcast monitoring, connected audio, filtering technology for file sharing and automatic music library organization (1). The application potential has boosted the interest from many researchers, and has given rise to a number of practical algorithms. A review of audio fingerprinting is given in (2), in which the properties of a desired audio fingerprinting system were discussed and some practical algorithms were introduced. Among the various fingerprinting schemes, the Philips Robust Hash (PRH) algorithm (1) was claimed to be highly robust to degradations and theoretical framework that analyzed its robustness has been given in (3) and (4). Due to the ro- bustness and efficiency, the PRH algorithm has been used as the baseline system for evaluating several recently developed algorithms: the authors of (5) viewed the temporal-frequency differentiation of spectrogram as a filtering output, and they tried to improve the performance by using alternative fre- quency filters. However, the filters used are empirical and not" @default.
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- W221554235 date "2009-10-04" @default.
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- W221554235 title "A Novel Audio Fingerprinting Scheme based on Subband Envelop Hashing" @default.
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