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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
Their PlayAudioVideo multimedia search engine, created in July 2007, was the first true search engine for multimedia, providing search on the web for images, video and audio in the same search engine, and allowing users to preview them on the same page. [citation needed] Munax has since shut down. [citation needed]
Sound Credit: Credits Multimodal platform for entering and editing music credits with a datahub that includes a database upload option. Database uploads are free, and is free to view. WhoSampled: Sample identification User-generated database of comparison between original tracks and covers, remixes, or songs that use samples. 1,100,000 338,000
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The user records a song for 10 seconds and the application creates an audio fingerprint. Shazam works by analyzing the captured sound and seeking a match based on an acoustic fingerprint in a database of millions of songs. [7] If it finds a match, it sends information such as the artist, song title, and album back to the user.
Tunebot is a music search engine developed by the Interactive Audio Lab at Northwestern University. Users can search the database by humming or singing a melody into a microphone, playing the melody on a virtual keyboard, or by typing some of the lyrics. This allows users to finally identify that song that was stuck in their head.
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The company was co-founded in 2005 by Keyvan Mohajer, an Iranian-Canadian computer scientist and entrepreneur who specializes in voice AI. [11]In 2009, the company's music discovery app Midomi was rebranded as SoundHound, but is still available as a web version on midomi.com. [12] [13] The app grew from 2 million users in January 2010 to 100 million users in September 2012.