Robust Audio Fingerprinting Method Using Prominent Peak Pair Based on Modulated Complex Lapped Transform
Hyoung-Gook Kim,Jin Young Kim +1 more
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TLDR
A salient audio peak‐pair fingerprint, based on a modulated complex lapped transform, improves the accuracy of the audio fingerprinting system in actual noisy environments with low computational complexity.Abstract:
The robustness of an audio fingerprinting system in an actual noisy environment is a major challenge for audio-based content identification. This paper proposes a high-performance audio fingerprint extraction method for use in portable consumer devices. In the proposed method, a salient audio peak-pair fingerprint, based on a modulated complex lapped transform, improves the accuracy of the audio fingerprinting system in actual noisy environments with low computational complexity. Experimental results confirm that the proposed method is quite robust in different noise conditions and achieves promising preliminary accuracy results.read more
Citations
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Journal ArticleDOI
Robust audio fingerprinting using peak-pair-based hash of non-repeating foreground audio in a real environment
TL;DR: A high-performance audio fingerprinting system used in real-world query-by-example applications for acoustic audio-based content identification, especially for use in heterogeneous portable consumer devices or on-line audio distributed system is proposed.
Journal ArticleDOI
Channel Allocation and Interference Analysis for DAB System in Frequency Band III Environment With Legacy T-DMB
TL;DR: Channel allocation method and interference analysis are investigated for Korea broadcasting environment with legacy T-DMB and can be used as a reference to determine the DAB service channel allocation through the frequency band with existing broadcasting system.
Journal ArticleDOI
A Robust Audio Fingerprinting Using a New Hashing Method
TL;DR: The proposed fingerprint method in a fundamental frequency band makes up for the weakness of existing methods generated from frequency domain and archives the precision rate of the range from 95 to 100% according to the degree of manipulation, which compares favorably with the precision rates obtained by traditional approaches.
Music Plagiarism Detection using Audio Fingerprinting and Segment Matching
TL;DR: In this paper, audio fingerprinting is used to detect plagiarism in audio content, which is the process of presenting an audio signal in a closed-packed way by extracting relevant characteristics of the audio signal.
Journal ArticleDOI
Effect of Spectrogram Parameters and Noise Types on The Performance of Spectro-temporal Peaks Based Audio Search Method
Murat Köseoğlu,Hakan Uyanik +1 more
TL;DR: It was observed that the the variation in the spectrogram parameters have significantly affected the number of matchings (NM), reliability and robustness, and a significant effect of music genre on NM.
References
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Proceedings Article
A Highly Robust Audio Fingerprinting System.
Jaap A. Haitsma,Ton Kalker +1 more
TL;DR: An audio fingerprinting system that uses the fingerprint of an unknown audio clip as a query on a fingerprint database, which contains the fingerprints of a large library of songs, the audio clip can be identified.
Proceedings Article
An Industrial Strength Audio Search Algorithm.
TL;DR: The algorithm is noise and distortion resistant, computationally efficient, and massively scalable, capable of quickly identifying a short segment of music captured through a cellphone microphone in the presence of foreground voices and other dominant noise, out of a database of over a million tracks.
Proceedings ArticleDOI
A review of algorithms for audio fingerprinting
TL;DR: Different techniques mapping functional parts to blocks of a unified framework for audio fingerprinting are reviewed, with a focus on pattern matching and robust hashing.
Book ChapterDOI
A Perceptual Audio Hashing Algorithm: A Tool for Robust Audio Identification and Information Hiding
TL;DR: A novel audio hashing algorithm is proposed to be used for audio watermarking applications, that uses signal processing and traditional algorithmic analysis (against an adversary) in a way resistant to formatting and compression.
Proceedings Article
Survey and evaluation of audio fingerprinting schemes for mobile query-by-example applications
TL;DR: This work surveys and evaluates popular audio fingerprinting schemes in a common framework with short query probes captured from cell phones, and reports results important for mobile applications: Receiver Operating Characteristic (ROC) performance, size of fingerprints generated compared to size of audio probe, and transmission delay if the fingerprint data were to be transmitted over a wireless link.
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