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  2. Robot Reggae? Meta Releases AI Music Generator That ... - AOL

    www.aol.com/robot-reggae-meta-releases-ai...

    MusicGen was trained on roughly 400,000 recordings along with text description and metadata, amounting to 20,000 hours of music owned by Meta or licensed specifically for this purpose, according ...

  3. List of audio conversion software - Wikipedia

    en.wikipedia.org/wiki/List_of_audio_conversion...

    An audio conversion app (also known as an audio converter) transcodes one audio file format into another; for example, from FLAC into MP3.It may allow selection of encoding parameters for each of the output file to optimize its quality and size.

  4. Music and artificial intelligence - Wikipedia

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

    This results in a model which uses text prompts to generate image files, which can be put through an inverse Fourier transform and converted into audio files. [42] While these files are only several seconds long, the model can also use latent space between outputs to interpolate different files together.

  5. Algorithmic composition - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_composition

    Another example is the translation of text into music, [4] [5] which can approach composition by extracting sentiment (positive or negative) from the text using machine learning methods like sentiment analysis and represents that sentiment in terms of chord quality such as minor (sad) or major (happy) chords in the musical output generated.

  6. Musical cryptogram - Wikipedia

    en.wikipedia.org/wiki/Musical_cryptogram

    A musical cryptogram is a cryptogrammatic sequence of musical symbols which can be taken to refer to an extra-musical text by some 'logical' relationship, usually between note names and letters. The most common and best known examples result from composers using musically translated versions of their own or their friends' names (or initials) as ...

  7. Optical music recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_music_recognition

    Optical music recognition relates to other fields of research, including computer vision, document analysis, and music information retrieval. It is relevant for practicing musicians and composers that could use OMR systems as a means to enter music into the computer and thus ease the process of composing, transcribing, and editing

  8. Riffusion - Wikipedia

    en.wikipedia.org/wiki/Riffusion

    Riffusion is a neural network, designed by Seth Forsgren and Hayk Martiros, that generates music using images of sound rather than audio. [1] It was created as a fine-tuning of Stable Diffusion, an existing open-source model for generating images from text prompts, on spectrograms. [1]

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