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  2. Suno AI - Wikipedia

    en.wikipedia.org/wiki/Suno_AI

    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 ...

  3. Udio - Wikipedia

    en.wikipedia.org/wiki/Udio

    Udio is a generative artificial intelligence model that produces music based on simple text prompts. It can generate vocals and instrumentation. Its free beta version was released publicly on April 10, 2024. Users can pay to subscribe monthly or annually to unlock more capabilities such as audio inpainting.

  4. Music and artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Music_and_artificial...

    There are other AI applications in music that cover not only music composition, production, and performance but also how music is marketed and consumed. Several music player programs have also been developed to use voice recognition and natural language processing technology for music voice control.

  5. Nvidia debuts AI model that can create music, mimic speech - AOL

    www.aol.com/finance/nvidia-debuts-ai-model...

    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 ...

  6. How To Make Money With AI-Generated Music - AOL

    www.aol.com/finance/money-ai-generated-music...

    With tools like AIVA, Shutterstock and Google’s MusicLM, text-to-music generators are becoming more accessible to regular people. Here’s how you can make money with AI music. Monetizing AI ...

  7. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

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