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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.
Software for music information retrieval — Semantic Web and musical digital objects, intelligent agents, collaborative software, web-based search and semantic retrieval, query by humming / Search by sound, acoustic fingerprinting; Music analysis and knowledge representation — automatic summarization, citing, excerpting, downgrading ...
Shazam is an application that can identify music based on a short sample played using the microphone on the device. [2] It was created by the British company Shazam Entertainment, based in London, and has been owned by Apple since 2018.
Doreso is an automatic content recognition (ACR) company specialized in music discovery and social TV recognition service for the second screen.Their sound-to-sound music search engine allows users to obtain more detailed information about music and songs by singing, humming or by recording original music.
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Musipedia is a search engine for identifying pieces of music. This can be done by whistling a theme, playing it on a virtual piano keyboard, [ 1 ] tapping the rhythm on the computer keyboard, or entering the Parsons code .
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