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Audio search engine - Wikipedia

    https://en.wikipedia.org/wiki/Audio_search_engine#:~:text=Audio%20search%20from%20image%20The%20Query%20by%20Example,to%20search%20for%20audio%20files%20in%20the%20database.
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An Industrial-Strength Audio Search Algorithm

    https://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf
    The algorithm uses a combinatorially hashed time-frequency constellation analysis of the audio, yielding unusual properties such as transparency, in which multiple tracks mixed together may each be identified. Furthermore, for applications such as radio monitoring, search times on the order of a few milliseconds per query are attained,

An Industrial-Strength Audio Search Algorithm

    https://homes.luddy.indiana.edu/donbyrd/INFO590Spring06/Wang-ISMIR03IndStrength-Txt.pdf
    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
    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 voices and other dominant noise,

(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 Road. Palo Alto, CA 94303. United Kingdom: 375 Kensington High ...

[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 foreground …

Application of Genetic Algorithm for Audio Search with ...

    https://www.ijert.org/application-of-genetic-algorithm-for-audio-search-with-recommender-system
    Local search is useful to for solving pure optimization problems, in which the goal is to find the best state per an objective function. Genetic algorithm is applied to audio search recommender system. Normal system is not capable. to …

An Industrial Strength Audio Search Algorithm - GitHub

    https://github.com/leonardltk/Shazam-An-Industrial-Strength-Audio-Search-Algorithm-
    GitHub - 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. Shazam : An Industrial Strength Audio Search Algorithm Init Database : Hashing & Setting Up Look-Up Table (LUT) Initial setting up of the database hashes Updating database hashes Queries : Hashing & …

audio - Algorithm to mix sound - Stack Overflow

    https://stackoverflow.com/questions/376036/algorithm-to-mix-sound
    So, the algorithm goes: Find out the volume in which you want the output sound to be. It can be the average or maxima of one of the signals. factor = average (s1) You assume that both signals are already OK, not overflowing the 32767.0. Normalize both signals with this factor: s1 = (s1/max (s1))*factor.

Searching Algorithms - GeeksforGeeks

    https://www.geeksforgeeks.org/searching-algorithms/
    Searching Algorithms are designed to check for an element or retrieve an element from any data structure where it is stored. Based on the type of search operation, these algorithms are generally classified into two categories: Sequential Search: In this, the list or array is traversed sequentially and every element is checked.

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