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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
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.
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.
Below is a table of online music databases that are largely free of charge. Many of the sites provide a specialized service or focus on a particular music genre. Some of these operate as an online music store or purchase referral service in some capacity. Among the sites that have information on the largest number of entities are those sites ...
Musipedia, on the other hand, can identify pieces of music that contain a given melody. Shazam finds exactly the recording that contains a given snippet, but no other recordings of the same piece. Musipedia is included in some library catalogs on music-finding, which include other papers and online resources. [3]
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Musixmatch is an Italian music data company and platform for users to search and share song lyrics with translations. Musixmatch has 80 million users (50M active users), [2] 12 million songs with their respective lyrics, and 115+ employees.
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