DJ stem systems and methods
Systems and methods selectively mix a first and second song together during a live performance. The first song has a plurality of first stems, each having stereo audio that combine to form the audio of the first song. The second song has a plurality of second stems, each having stereo audio that combine to form the audio of the second song. A computer, with memory and a processor, executes machine readable instructions of a multiple channel audio mixing application with stored within the memory. The multiple channel audio mixing application plays and mixes audio of at least one of the first stems with audio of at least one of the second stems. The multiple channel audio mixing application is controlled in real-time during the performance to select the at least one first stem and the at least one second stem for the mixing.
1. A system for automatically updating metadata for a song, comprising:
an online store implemented using a computer server having a processor, non-transitory memory, and an interface to the Internet;
a song library, stored within the memory, containing the song and associated metadata including a plurality of tags characterizing the song;
a metadata manager comprising machine readable instructions stored within the memory and executed by the processor to automatically update the metadata by:
receiving amended metadata for the song from a plurality of remote library applications, each running on a computer of a different disk-jockey (DJ), the amended metadata representing amendments made by the DJ's to the metadata;
collectively processing the amended metadata to algorithmically determine a trend in the amendments made by the DJ's; and
applying the amendments to the metadata of the song stored within the song library based upon the trend to produce updated metadata stored in the song library of the online store, such that the updated metadata is representative of trends in a community to which the DJ's belong and facilitates the community to search the song library of the online store.
2. The system of claim 1 , further comprising a community manager having machine readable instructions stored within the memory and executed by the processor for interacting with each of the different DJ's to determine a ranking of the DJ within a DJ community formed by the different DJ's.
3. The system of claim 2 , the metadata manager further comprising machine readable instructions executed by the processor for applying a weighting to the amended metadata of each DJ based upon the ranking to determine the trend.
4. The system of claim 2 , the metadata manager further comprising machine readable instructions executed by the processor for determining approval of the amendments by the DJ community based upon one or both of an opinion poll and a survey.
5. A method for automatically updating metadata of a song stored in a song library of an online store, the online store being implemented using a computer server and the metadata including a plurality of tags characterizing the song, the method comprising:
receiving, within the computer server, amended metadata for the song from a plurality of remote library applications, each running on a computer of a different disk-jockey (DJ), the amended metadata representing amendments made by the DJ's to the metadata;
collectively processing the amended metadata to determine a trend in the amendments made by the DJ's based upon statistical analysis; and
applying the amendments to the metadata of the song stored in the song library of the online store based upon the trend to produce updated metadata stored in the song library of the online store, such that the updated metadata is representative of trends in a community to which the DJ's belong and facilitates searching the song library of the online store by the community.
6. The method of claim 5 , further comprising interacting from the computer server with each of the different DJ's to determine a ranking of the DJ within a DJ community formed of the different DJ's.
7. The method of claim 6 , further comprising applying a weighting to the amended metadata of each DJ based upon the ranking to determine the trend.
8. The method of claim 6 , further comprising determining approval of the amendments by the DJ community based upon one or both of an opinion poll and a survey.
9. The method of claim 5 , wherein the metadata comprises a venue indicative of a location suitable for playing the song.
10. The method of claim 5 , wherein the metadata comprises a set time indicative of a time suitable for performing the song.
11. The method of claim 5 , wherein the metadata comprises a set of mood tags indicative of the song content.