“One that connects every player of the music industry to help data flow between them. We help improve everyone’s “user experience” within the industry. Our approach is multichannel, interdisciplinary, global and always neutral.”
“It involves digitally condensing audio signals by extracting acoustic characteristics of a piece of audio. Just like with human fingerprints, we can compare a fingerprint against our database of 500 years worth of music to immediately locate its match.”
“We have a well-trained matching algorithm with millions of data points to link DSR lines with sound recordings and works. We also use deep learning technology to differentiate between music and non-music, background and foreground, and to measure the “audibility” of what’s being played. You can read more if you’re nerdy like us.”
“We have a network of servers around the world to capture signals, so we can identify 22 years of audio against 190 million sound recordings daily. Our computers analyse them in real-time and generate online reports.”