Forum Posts

deril22395
Apr 06, 2022
In General Discussions
Editor's note: Apple recently announced a "revolutionary new process" developed in partnership with major and independent labels that applies Shazam's powerful technology to identify original music used in DJ mixes to ensure copyright owners get access to it fair remuneration. DJ mix rights have always been a headache, devouring the benefits that many original musicians should share. Now, can Apple Music enable Shazam technology to completely solve the above problems at the technical level? Recently, Apple Music has quietly done a big thing. On September 9, Apple announced that it had partnered with major and independent record labels to develop a "revolutionary new process" that uses Shazam's powerful technology to identify original music used in DJ mixes to ensure that copyright owners can learn from them. Get fair pay. Due to the difficulty in identifying the original content, DJ remix works have always been the "blind area" and "black hole" of royalty distribution, swallowing up the benefits that many original musicians should share. Now, can Apple Music enable Shazam technology to completely solve the above problems at the job title email list technical level? In more fragmented scenarios such as short videos, secondary creations, and live broadcasts, can the application of new technologies represented by Shazam end such copyright problems? 1. "Listen to the mix and recognize the music", Shazam helps the legalization of DJ Mix Apple Music is just too friendly to DJs. DJ Mix has been around for a long time, but it's hard for music creators to reap the rewards. Now that Apple Music can automatically identify the music in the mixtape and provide the corresponding song list and link, music creators are not only fairly rewarded, but also increased exposure. All thanks to Shazam. As the big brother of "Listening to Songs and Knowing Songs", Shazam is the pioneer of the widely used audio fingerprint technology. In technical principle, audio fingerprinting technology can transform the spectrogram of a song into a "star chart", and the star chart reflects the strongest frequency of the song at a specific time, forming a unique "fingerprint" of a song. (fringerprint). This way of creation also helps to apply filtering noise, as it only creates data points with prominent frequencies and is robust to noise and perturbations. When the user enters a new audio clip, the audio fingerprint technology will quickly generate a "fingerprint" of the new clip and compare it in the database to identify which song the clip belongs to.
0
0
5
 
deril22395
More actions