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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.
Its features are both an audio-based artificial intelligence service and services to find songs and details about them by singing, humming or recording them. Shazam is an app for smartphone or Mac best known for its music identification capabilities. It uses a built-in microphone to gather a brief sample of the audio being played.
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.
Last.fm is a music website founded in the United Kingdom in 2002. Utilizing a music recommender system known as "Audioscrobbler," Last.fm creates a detailed profile of each user's musical preferences by recording the details of the tracks they listen to, whether from Internet radio stations or from the user's computer or portable music devices.
Some services offer non-free options in the style of a digital music store. For a list of online music stores that provide a means of purchasing and downloading music as files of some sort, see comparison of digital music stores. Many sites from both of these categories offer services similar to an online music database.
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.
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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.