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Search by sound

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Acoustic fingerprinting and its applications
– Acoustic fingerprinting is the method used by apps like Shazam and Soundhound to search by sound.
– A microphone captures an audio sample, which is then converted into a unique numeric signature.
– This signature is generated for each track and compared to an extensive audio music database.
– Shazam can also use acoustic fingerprinting to identify television shows.
– Shazam has a database of over 11 million songs.
– Acoustic fingerprinting is not limited to music but is also used in other areas of the entertainment industry.
– Shazam, Midomi, and Soundhound allow users to contribute to the music library and improve the chances of matching sound samples.
– Acoustic fingerprinting can be used for identifying melodies, tunes, advertisements, sound library management, and video files.

Query by humming
– Midomi and Soundhound offer the feature of query by humming.
– Query by humming is a musical retrieval system that allows users to input a hummed melody.
– The system then returns a ranked list of songs that closely match the user’s query.

Mobile applications utilizing search by sound
– Shazam, Soundhound, Axwave, and ACRCloud are examples of mobile applications that use search by sound.
– These applications use a simple algorithm to match an acoustic fingerprint to a song in a library.
– Users can provide a sample clip of a song or a user-generated melody to search for matching songs.
– The applications query a music library or database to find matches and display song information to the user.
– Mobile applications utilizing search by sound are mainly used for finding unknown songs.

Importance of citations and verification
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– Citations from reliable sources help improve the credibility and accuracy of the information.
– Unsourced material may be challenged and removed, ensuring the article’s reliability.
– Reliable sources such as news, newspapers, books, scholars, and JSTOR should be used to find additional information.
– Removing the template message requires understanding how and when to properly cite sources.

Search by sound (Wikipedia)

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 (service), Soundhound (previously Midomi), Axwave, ACRCloud and others have seen considerable success by using a simple algorithm to match an acoustic fingerprint to a song in a library. These applications take a sample clip of a song, or a user-generated melody and check a music library/music database to see where the clip matches with the song. From there, song information will be queried and displayed to the user.

These kind of applications are mainly used for finding a song that the user does not already know. Searching by sound is not limited to just identifying songs, but also for identifying melodies, tunes or advertisements, sound library management and video files.

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