New AI Platform Protects Musicians’ Work (Oct-2022)

New AI Platform Protects Musicians’ Work
New AI Platform Protects Musicians’ Work

DigiTrax Entertainment, a leader in the field for artificial intelligence within the industry of music is aware of this and has discovered an approach to make use of the analytical capabilities of AI to protect artists from copyright violation.

A new DigiTrax products, Music Fact Reports, could be used as an individual CSI laboratory for forensic musicology according to Joseph Vangieri, CEO of DigiTrax Entertainment.

“We believe Music Fact Reports will be a major step forward for rights holders,” Mr. Vangieri states in a statement that announces that he will launch Music Fact Reports.

Music Fact Reports is a program that Music Fact Reports program helps individuals who are musicians by avoiding the effort, time and cost to hire a musical expert to carry out an investigation prior to making a decision on whether a copyright infringement matter is worthy of pursuing with an attorney.

The program can also be utilized by copyright lawyers to assess the validity of cases that could be filed, and publishers looking to prove the authenticity of a contract music work.

Music Fact Reports is a program that Music Fact Reports program works using artificial intelligence, by separating sequences of music and comparing them with other works using algorithms based on music theory.

“We are working towards a future in which analyzed sequences of data for all copyrighted pieces of music are stored in a database that can be accessed and searched to detect levels of extrinsic similarity instantly,” states DigiTrax Chief Technology Officer Marcus Matusiak in a statement to announce the Music Fact Reports launch.

The Music Fact Reports program is currently being used by attorney Richard Wolfe of Wolfe Law in Miami, Florida, to pursue a copyright-infringement case involving instrumental music.

“I think the technology is cutting-edge for purposes of identifying substantial similarity in two pieces of music in terms of rhythms, beats, and extrinsic similarity,” says Mr. Wolfe.


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