![]() ![]() ![]() The algorithm, as Wang explained it in a paper from Columbia University, is "noise and distortion resistant, computationally efficient, and massively scalable, capable of quickly identifying a short segment of music captured through a cellphone microphone in the presence of foreground voices and other dominant noise, and through voice codec compression, out of a database of over a million tracks." The technology was developed by Shazam co-founder Avery Wang who took the lead in creating the algorithm. Much like our own fingerprints, the audio fingerprint has a distinctive pattern of data unique to the song or sound clip. “Beyond making phone calls, the most sophisticated things that people did with mobile phones at that time were to install ringtones, send text messages, and, if you were really cutting-edge, possibly subscribe to sports score updates via text message.” Shazam co-founder Chris Barton told podcaster Danielle Newnham via Medium.Īs an audio search engine, Shazam works by identifying a snippet of a song and creating a “digital fingerprint” to recognize it faster in the future. After all, cell phones were pretty basic. The app would identify the song details to the user. Users would call a hotline and then hold their phone up to the speaker. When the prototype of Shazam debuted in 2002, no one had smartphones. However, the service was already up and running for years. When Apple launched the App Store in 2008, Shazam was among the original smartphone applications. Keep reading to find out more about Shazam's origins. ![]() In fact, a song or sound identified by the app is known as “a Shazam." That isn’t all it has in common with Google since Shazam is an innovative, sound search engine. Like Google, Shazam’s name has crept into popular consciousness as both a verb and a noun. ![]()
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