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Pairwise Boosted Audio Fingerprint | IEEE Journals ...
https://ieeexplore.ieee.org/document/5312768#:~:text=Abstract%3A%20A%20novel%20binary%20audio%20fingerprint%20obtained%20by,query%20audio%20clip%20into%20a%20binary%20classification%20problem.
Pairwise Boosted Audio Fingerprint | IEEE Journals ...
https://ieeexplore.ieee.org/document/5312768
Pairwise Boosted Audio Fingerprint. Abstract: A novel binary audio fingerprint obtained by filtering and then quantizing the spectral centroids is proposed. A feature selection algorithm, coined pairwise boosting (PB), is used to determine the filters and quantizers by casting the fingerprinting problem of identifying a query audio clip into a ...
CiteSeerX — Pairwise Boosted Audio Fingerprint
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.506
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—A novel binary audio fingerprint obtained by filtering and then quantizing the spectral centroids is proposed. A feature selection algorithm, coined pairwise boosting (PB), is used to determine the filters and quantizers by casting the fingerprinting problem of identifying a query audio clip into …
Pairwise Boosted Audio Fingerprint - INFONA
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005312768
A novel binary audio fingerprint obtained by filtering and then quantizing the spectral centroids is proposed. A feature selection algorithm, coined pairwise boosting (PB), is used to determine the filters and quantizers by casting the fingerprinting problem of identifying a query audio clip into a binary classification problem. The PB algorithm selects the filters and quantizers which lead to ...
Pairwise Boosted Audio Fingerprint | Request PDF
https://www.researchgate.net/publication/224076479_Pairwise_Boosted_Audio_Fingerprint
Request PDF | Pairwise Boosted Audio Fingerprint | A novel binary audio fingerprint obtained by filtering and then quantizing the spectral centroids is proposed. A feature selection algorithm ...
CiteSeerX — Pairwise Boosted Audio Fingerprint For …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.2221
BibTeX @MISC{_pairwiseboosted, author = {}, title = {Pairwise Boosted Audio Fingerprint For Review Only Journal: Manuscript ID: Manuscript Type: Date Submitted by the Author: Complete List of Authors: EDICS: Transactions on Information Forensics & Security}, year = {}}
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND …
https://slsp.kaist.ac.kr/paperdata/Pairwise_Boosted_Audio.pdf
JANG et al.: PAIRWISE BOOSTED AUDIO FINGERPRINT 997 C. Binary Fingerprint Extraction As shown in Fig. 1, an audio fingerprint is obtained by quan-tizing the filtered outputs. The binary fingerprint of an SSC image is obtained by representing in binary form. Since a quantizer can have different outputs, the output
Introducing Chromaprint - Lukáš Lalinský
https://oxygene.sk/2010/07/introducing-chromaprint/
Another important paper for me was "Pairwise Boosted Audio Fingerprint" (2009) by Dalwon Jang, Chang D. Yoo, Sunil Lee, Sungwoong Kim and Ton Kalker (Ton Kalker is a co-author of a historically important paper "Robust Audio Hashing for Content Identification" (2001) published by Philips Research), which combined previous experiments of the ...
How does Chromaprint work? - Lukáš Lalinský
https://oxygene.sk/2011/01/how-does-chromaprint-work/
The idea how to do it again comes from the Computer Vision for Music Identification paper with some modifications based on the Pairwise Boosted Audio Fingerprint paper. You can imagine having a 16x12 pixel large window and moving it over the image from the left to the right, one pixel at a time. This will generate a lot of small subimages.
GitHub - acoustid/chromaprint: C library for generating ...
https://github.com/acoustid/chromaprint
Chromaprint is an audio fingerprint library developed for the AcoustID project. It's designed to identify near-identical audio and the fingerprints it generates are as compact as possible to achieve that. It's not a general purpose audio fingerprinting solution. It trades precision and robustness for search performance.
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