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Efficient music identification using ORB descriptors of ...

    https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-017-0114-4.pdf#:~:text=Abstract%20Audio%20fingerprinting%20has%20been%20an%20active%20research,signal%20being%20subjected%20to%20various%20types%20of%20distortion.
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(PDF) Robust audio fingerprinting for song identification

    https://www.researchgate.net/publication/228507400_Robust_audio_fingerprinting_for_song_identification
    Robust audio fingerprinting for song identification. January 2004 ... audio fingerprinting techniques can also be applied to accelerate tasks such as …

Robust Audio Fingerprinting for Song Identification

    https://www.researchgate.net/profile/Francesco-Mapelli/publication/228507400_Robust_audio_fingerprinting_for_song_identification/links/0f31753391cf9eb43e000000/Robust-audio-fingerprinting-for-song-identification.pdf
    ROBUST AUDIO FINGERPRINTING FOR SONG IDENTIFICATION F. Mapelli, R. Pezzano and R. Lancini CEFRIEL – Politecnico di Milano Via R.Fucini, …

CiteSeerX — Robust audio fingerprinting for song ...

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.489.7660
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper presents a new algorithm for audio hashing. These kinds of techniques work analysing the signal taking into account its nature in order to extract distinguishing features robust to typical processing. These features describe in a compact way the signal and can be efficiently stored in a database.

Audio fingerprinting – How we identify songs - BMAT Music ...

    https://www.bmat.com/audio-fingerprinting-songs-identification/
    Not strictly identical because a good fingerprinting technology must be robust against certain sound degradations and needs to detect when the song isn’t itself anymore. We believe human perception determines this boundary and we train our technology to develop the same sensitivity so that when we humans cannot recognise a song, our matching algorithm …

A Highly Robust Audio Fingerprinting System

    https://ismir2002.ismir.net/proceedings/02-FP04-2.pdf
    scenario possible. By using 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. At the core of the presented system are a highly robust fingerprint extraction method and a very efficient fingerprint

The Basics of Audio Fingerprinting

    https://people.csail.mit.edu/sshum/talks/audio_fingerprinting_sls_24Oct2011.pdf
    –Calculate sub-fingerprints using audio samples near a corresponding point in time. •Translation-invariant –Recorded snippet can start anywhere in the song. •Robust –Dealing with severely degraded audio. •Sufficiently (but not overly) entropic

(PDF) Music Identification based on Audio-Fingerprinting ...

    https://www.academia.edu/43454255/Music_Identification_based_on_Audio_Fingerprinting
    INTRODUCTION 1.1 Audio-Fingerprinting Audio fingerprinting is used to take a brief sample of an unidentified recording of audio and to collect recording metadata. This is done by turning the data-rich audio signal into a sequence of brief numerical values (or hashes) aimed at identifying a musical recording uniquely.

A Perceptual Audio Hashing Algorithm: A Tool for Robust ...

    https://citeseer.ist.psu.edu/showciting?cid=259763
    Other uses of fingerprinting include: integrity verification, watermark support and content-based audio retrieval. The different approaches to fingerprinting have been described with different rationales and terminology: Pattern matching, Multimedia (Music) Information Retrieval or Cryptography (Robust Hashing). In this paper, we review ...

Varun Khatri, Lukas Dillingham, and Ziqi Chen

    http://www2.ece.rochester.edu/~zduan/teaching/ece472/projects/2019/AudioFingerprinting.pdf
    In the past few years, a lot of new audio fingerprint algorithms have been proposed. Li-Chun Wang [3] developed an efficient and robust audio search system based on audio fingerprint. Kim and his group [4] suggested a new audio fingerprint extraction method for identifying classical music. Seetharaman and Rafii [5] proposed a new cover song

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