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Search by sound is the retrieval of information based on audio input. There are a handful of applications, specifically for mobile devices that utilize search by sound. Shazam, Soundhound, Axwave, ACRCloud and others have seen considerable success by using a simple algorithm to match an acoustic fingerprint to a song in a library
In audio search from audio, the user must play the audio of a song either with a music player, by singing or by humming to the computer microphone. Subsequently, a sound pattern, A, is derived from the audio waveform, and a frequency representation is derived from its Fourier Transform.
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Most audio compression techniques will make radical changes to the binary encoding of an audio file, without radically affecting the way it is perceived by the human ear. A robust acoustic fingerprint will allow a recording to be identified after it has gone through such compression, even if the audio quality has been reduced significantly.
Sounddogs.com, Inc. is a commercial online library of sound effects based in Marina Del Rey, California, with offices in Canada, Argentina, and Uruguay.It is the first and largest online sound effects and production music library on the internet launched in May 1997. [4]
It searches an index of over 1,000,000 sounds on the internet, with 100,000 users and 1,000,000 searches each month. The index mainly consists of sound effects and musical instrument samples. Results are in AIFF, AU and WAV formats, in both mono and stereo. The site offers the FindSounds Palette, a program which also searches the FindSounds index.
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The latter can identify short snippets of audio (a few seconds taken from a recording), even if it is transmitted over a phone connection. Shazam uses Audio Fingerprinting for that, a technique that makes it possible to identify recordings. Musipedia, on the other hand, can identify pieces of music that contain a given melody.
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