Audio Fingerprinting
Audio fingerprinting is a technology used in computer science that helps identify music or sound. It works a bit like a human fingerprint. Each piece of music or sound has a unique fingerprint that can be identified by a computer program.
The way it works is that the computer “listens” to the music or sound and creates a unique code that represents it. This code is made up of features like the rhythm, melody, and tempo of the music or sound. These features are captured as numerical values that can be easily compared and matched with other pieces of music or sound.
This technology is often used by music apps or services to help identify songs. For example, if you’re listening to a song on the radio and you want to know what it is, you can use an app that uses audio fingerprinting to identify the song. The app will listen to the song and match its unique fingerprint to its database of known songs. Then, it will tell you the name of the song and the artist.
In summary, audio fingerprinting is a way of identifying music or sound by creating a unique code that represents its features. It is often used by music apps and services to help people identify songs.