Search results
Results From The WOW.Com Content Network
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 ]
Algorithmic composition is the technique of using algorithms to create music.. Algorithms (or, at the very least, formal sets of rules) have been used to compose music for centuries; the procedures used to plot voice-leading in Western counterpoint, for example, can often be reduced to algorithmic determinacy.
Riffusion is a neural network, designed by Seth Forsgren and Hayk Martiros, that generates music using images of sound rather than audio. [41] It was created as a fine-tuning of Stable Diffusion , an existing open-source model for generating images from text prompts, on spectrograms . [ 41 ]
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.
Computer music is the application of computing technology in music composition, to help human composers create new music or to have computers independently create music, such as with algorithmic composition programs.
Laurie Spiegel (born September 20, 1945) [1] is an American composer. She has worked at Bell Laboratories, in computer graphics, and is known primarily for her electronic music compositions and her algorithmic composition software Music Mouse.
SuperCollider's sound generation is bundled into an optimised command-line executable (named scsynth).In most cases it is controlled from within the SuperCollider programming language, but it can be used independently.
For example, a language model might assume that doctors and judges are male, and that secretaries or nurses are female, if those biases are common in the training data. [129] Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [130] if trained on a racially biased data ...