Sökning: "generative music"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden generative music.

  1. 1. Generative AI as a Tool for Swedish Startups - A qualitative study on how Generative AI can affect Swedish startups

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Filippa Gyllensvärd; Olivia Hiljegren; [2023-07-19]
    Nyckelord :Generative AI; Startup; Entrepreneurship; Innovation; Thematic analysis; Machine learning;

    Sammanfattning : In today's rapidly evolving technological landscape, startups are constantly seeking new ways to innovate and stay ahead of the competition. One promising innovation is Generative AI, which uses large datasets to generate original content such as images, music, code, or text (McKinsey & Company, 2022). LÄS MER

  3. 2. Mellanrum: Towards an Entangled Audiovisual Practice

    Master-uppsats, Göteborgs universitet/Högskolan för scen och musik

    Författare :Julius Norrbom; [2023-01-23]
    Nyckelord :audiovisual; generative art; generative music; modular synthesizer; electronic music; systems; networks;

    Sammanfattning : This artistic research project is a document of an entangled audiovisual practice in progress. With a generative approach and thinking in systems applied to modular synthesizers and procedural computer graphics the aim is to blur the line between the process of generating sounding material and the process of generating visual material. LÄS MER

  4. 3. Text to Music Audio Generation using Latent Diffusion Model : A re-engineering of AudioLDM Model

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ernan Wang; [2023]
    Nyckelord :Text to Music Audio Generation; Latent Diffusion; AudioLDM; Sampling Methods; Denoising Diffusion Probabilistic Model DDPM ; Denoising Diffusion Implicit Model DDIM ; Text till musik Ljudgenerering; Latent Diffusion; AudioLDM; Samplingsmetoder; DDPM; DDIM;

    Sammanfattning : In the emerging field of audio generation using diffusion models, this project pioneers the adaptation of the AudioLDM model framework, initially designed for text-to-daily sounds generation, towards text-to-music audio generation. This shift addresses a gap in the current scope of audio diffusion models, predominantly focused on everyday sounds. LÄS MER

  5. 4. Musikgenerering med Generativa motståndsnätverk

    Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Yupeng Li; Jonatan Linberg; [2023]
    Nyckelord :Artificial Intelligence; AI; Music; Generative Adversarial Networks; Artificiell Intelligens; AI; Musik;

    Sammanfattning : At present, state-of-the-art deep learning music generation systems require a lot time and hardware resources to develop. This means that they are almost exclusively available to large companies. In order to reduce these requirements, more efficient techniques and methods need to be utilised. LÄS MER

  7. 5. The Well Trained Algorithm : An exploration of the use of AI as a tool for musical expression

    Master-uppsats, Kungl. Musikhögskolan/Institutionen för komposition, dirigering och musikteori

    Författare :Muiredach O'Riain; [2023]
    Nyckelord :Artificial Intelligence; AI; Machine Learning; ML; Generative Music; J. S. Bach; LaMonte Young; The Well Tempered Clavier; The Well Tuned Piano; Tuning System; Instrumentisation;

    Sammanfattning : The Well Trained Algorithm is a composition that challenges prevailing conceptions of the use of AI tools in music through the reconceptualising of JukeBox, a generative AI model for music, as an instrument in its own right. Here, I am coining the term ‘instrumentisation’ to describe a methodology for applying the qualities and associations of a musical instrument to a traditionally non-musical object. LÄS MER