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(PDF) An Industrial Strength Audio Search Algorithm.

    https://www.researchgate.net/publication/220723446_An_Industrial_Strength_Audio_Search_Algorithm
    An Industrial-Strength Audio Search Algorithm. Avery Li-Chun Wang. [email protected]. Shazam Entertainment, Ltd. USA: 2925 Ross …

CiteSeerX — An industrial-strength audio search algorithm

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.217.8882
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We have developed and commercially deployed a flexible audio search engine. 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 …

[PDF] An Industrial Strength Audio Search Algorithm ...

    https://www.semanticscholar.org/paper/An-Industrial-Strength-Audio-Search-Algorithm-Wang/2f58f6b34c6cd08ca901433949275e4a42368036
    An Industrial Strength Audio Search Algorithm. We have developed and commercially deployed a flexible audio search engine. 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 ...

An Industrial-Strength Audio Search Algorithm

    https://www.princeton.edu/~cuff/ele301/files/Wang03-shazam.pdf
    An Industrial-Strength Audio Search Algorithm Avery Li-Chun Wang [email protected] Shazam Entertainment, Ltd. USA: 2925 Ross Road Palo Alto, CA 94303 United Kingdom: 375 Kensington High Street 4th Floor Block F London W14 8Q We have developed and commercially deployed a flexible audio search engine.

An Industrial-Strength Audio Search Algorithm

    https://homes.luddy.indiana.edu/donbyrd/INFO590Spring06/Wang-ISMIR03IndStrength-Txt.pdf
    An Industrial-Strength Audio Search Algorithm Abstract We have developed and commercially deployed a flexible audio search engine. The algorithm is noise and distortion resistant, computationally efficient, and massively scalable, capable of quickly identifying a short segment of music captured through a

An Industrial-Strength Audio Search Algorithm

    https://www.csie.ntu.edu.tw/~r95162/An%20Industrial-Strength%20Audio%20Search%20Algorithm.pdf
    An Industrial-Strength Audio Search Algorithm Avery Li-Chun Wang [email protected] Shazam Entertainment, Ltd. USA: 2925 Ross Road Palo Alto, CA 94303 United Kingdom: 375 Kensington High Street 4th Floor Block F London W14 8Q Abstract We have developed and commercially deployed a flexible audio search engine. The

An Industrial Strength Audio Search Algorithm - GitHub

    https://github.com/leonardltk/Shazam-An-Industrial-Strength-Audio-Search-Algorithm-
    Detecting segments belonging to which song in database, and return Nil if does not exist in a database. - GitHub - leonardltk/Shazam-An-Industrial-Strength-Audio-Search-Algorithm-: Detecting segments belonging to which song in database, and return Nil …

Song Recognition Using Audio Fingerprinting

    http://www2.ece.rochester.edu/~zduan/teaching/ece472/projects/2019/AudioFingerprinting_poster.pdf
    An Industrial Strength Audio Search Algorithm. In ISMIR (Vol. 2003, pp. 7-13). Müller, M. (2015). Fundamentals of music processing: Audio, analysis, algorithms, applications. Springer. pp. 360-370. Create fingerprint Department of Electrical and Computer Engineering Varun Khatri, Lukas Dillingham, Ziqi Chen Song Recognition Using Audio ...

(PDF) A study of Shazam’s Audio Recognition

    https://www.researchgate.net/publication/311848940_A_study_of_Shazam's_Audio_Recognition
    The main difficulty is to develop an algorithm that is able to capture by a little cellphone microphone a short audio sample of music often with mixed heavy ambient noise and …

Assigned Project Lab - ECE 420 - Spring 2021

    https://courses.grainger.illinois.edu/ece420/fa2021/assigned_project_lab/papers/
    An industrial strength audio search algorithm. Ismir. Vol. 2003. 2003. Wan, Eric A., and Rudolph Van Der Merwe. The unscented Kalman filter for nonlinear estimation. Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No. 00EX373). Ieee, 2000.

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