ShoutOuts

This Facebook-based social network ; which uses a FB database , allows music sharing amongst its members. The mobile application uses the iPhone’s microphone to record a piece of music being played, then it identifies an acoustic fingerprint created on the sample and searches through the central fingerprint database for a match. The song’s information is displayed to the user if a match is found.

We used EchoPrint’s identification server to find the fingerprints, since their DB uses the largest music encyclopedia database.

There is a collection of more than 500,000 songs, and users can operate with the shared music in much the same way that they do on Facebook, such as ‘Like’, ‘Share’ etc. The users are able to setup their own ‘radio station’ based on the songs they love, as well as songs recommended by the system. The product uses Amazon S3 for storing the information and EC2 to operate; MongoDB and Tokio Cabinets are used for storing music.

ShoutOuts tentatively competed with Apple Music and Spotify. Unfortunately, the client was not able to invest enough to become a significant competitor among the leaders of the streaming music industry.