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Robust audio hashing for audio identification — NYU …
https://nyuscholars.nyu.edu/en/publications/robust-audio-hashing-for-audio-identification
title = "Robust audio hashing for audio identification", abstract = "We propose and evaluate three new perceptual audio hash functions. These hash functions are based on a concise description of the time-frequency characteristics. This information can be extracted from the time series of frame-by-frame fundamental period or from the singular value decomposition of the mel …
Robust audio hashing scheme based on cochleagram and …
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/el.2012.3812
Robust audio hashing scheme based on cochleagram and cross recurrence analysis N. Chen, H.D. Xiao, J. Zhu, J.J. Lin, Y. Wang and W.H. Yuan A robust hashing method based on computer-vision techniques is pro-posed as an improvement to the existing computer-vision based hashing scheme. The cochleagram of the audio is treated as an
Robust audio hashing scheme based on cochleagram …
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/el.2012.3812
A robust hashing method based on computer-vision techniques is proposed as an improvement to the existing computer-vision based hashing scheme. The cochleagram of the audio is treated as an image, from which Speeded Up Robust Features are extracted as essential features. Non-negative matrix factorisation is used to reduce the features’ dimension.
CiteSeerX — Robust Audio Hashing for Content …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.2893
Nowadays most audio content identification systems are based on watermarking technology. In this paper we present a different technology, referred to as robust audio hashing. By extracting robust features and translating them into a bit string, we get an object called a robust hash. Content can then be identified by comparing hash values of a received audio clip with the hash …
A Robust Audio Fingerprinting Using a New Hashing …
https://ieeexplore.ieee.org/document/9200471
A Robust Audio Fingerprinting Using a New Hashing Method. Abstract: To enhance the tracking performance of illegal audio copies, we introduce a robust audio fingerprinting method against various attacks in this paper. Most audio fingerprints consist of the information in the frequency band of audio. These fingerprinting methods may lose the uniqueness of the …
Retrieval Oriented Robust Audio Hashing | Scientific.Net
https://www.scientific.net/AMR.121-122.854
Aiming at content-based audio retrieval (CBAR) applications, a robust audio hashing scheme is proposed. First the audio is divided to frame by fixed length and then low-frequent and high-frequent components are obtained by three-level lifting-based wavelet transformation in …
A Perceptual Audio Hashing Algorithm: A Tool for Robust ...
https://citeseerx.ist.psu.edu/showciting?cid=259763
Robust audio hashing for audio identification by Hamza Özer, Bülent Sankur, Nasir Memon - in 12th European Signal Processing Conference (EUSIPCO , 2004 We propose and evaluate three new perceptual audio hash functions.
A Perceptual Audio Hashing Algorithm: A Tool For Robust ...
https://www.researchgate.net/publication/227193657_A_Perceptual_Audio_Hashing_Algorithm_A_Tool_For_Robust_Audio_Identification
Robust audio hashing can be used for audio content identification in broadcast monitoring and database indexing applications.
A Framework for Robust Audio Fingerprinting
http://www.jocm.us/uploadfile/2013/0422/20130422051253807.pdf
called audio fingerprinting [1], [2], known also as robust audio hashing. Its purpose is to allow electronic devices to identify perceptual similarities between audio contents. The term “fingerprint” recalls the fact that every piece of Manuscript received September 1, 2009; revised January 5, 2010; accepted January 28, 2010.
Robust Hashing - NetClean.com
https://www.netclean.com/netclean-report-2019/robust-hashing/
Robust Hashing. Like binary hashing technology, robust hashing is used to fingerprint and discover online child sexual abuse material on a content level. In contrast to the binary system, robust hashing technology looks at the actual visual content of an image rather than just the binary data of the image file.
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