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A more nascent development of AI in music is the application of audio deepfakes to cast the lyrics or musical style of a pre-existing song to the voice or style of another artist. This has raised many concerns regarding the legality of technology, as well as the ethics of employing it, particularly in the context of artistic identity. [ 59 ]
Lyrics Allows users to provide annotations and interpretation of song lyrics. Musixmatch: Lyrics Audio based music recognition and provision of song lyrics. Yes. SecondHandSongs: Covers User-generated database of covers and samples of songs, with links to public recordings. >1,100,000 performances >100,000 works Multilingual recordings.
Musixmatch is an Italian music data company and platform for users to search and share song lyrics with translations. Musixmatch has 80 million users (50M active users), [2] 12 million songs with their respective lyrics, and 115+ employees.
Technology minister Sir Chris Bryant read out AI-generated Adele lyrics to draw attention to how machines can “imagine” versions of existing artists' songs without paying them any money. He ...
"Voice" is a song written and recorded by Japanese-American singer-songwriter Ai, released February 13, 2013, by EMI Music Japan. Produced by Uta and Ai, the song served as the theme song for the Japanese drama Yakō Kanransha. Upon its release, "Voice" became one of Ai's best selling singles of the 2010s, peaking at number 2 on the Billboard ...
Nvidia has developed a new kind of artificial intelligence model that can create sound effects, change the way a person sounds, and generate music using natural language prompts.Called Fugatto, or ...
Suno AI, or simply Suno, is a generative artificial intelligence music creation program designed to generate realistic songs that combine vocals and instrumentation, [1] or are purely instrumental. Suno has been widely available since December 20, 2023, after the launch of a web application and a partnership with Microsoft , which included Suno ...
Tunebot is a music search engine developed by the Interactive Audio Lab at Northwestern University. Users can search the database by humming or singing a melody into a microphone, playing the melody on a virtual keyboard, or by typing some of the lyrics. This allows users to finally identify that song that was stuck in their head.