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Showing 1 to 6 of 6 for “"music generation"”.

  1. Adaptive Music Generation for Computer Games

    … dissertation explores a novel approach to game music that addresses the limitations of conventional game music systems in supporting a dynamically changing narrative. In the proposed approach, the music is generated automatically based on a set of variable input parameters corresponding to …

    the-open-u Repository record for Adaptive Music Generation for Computer Games (opens in a new tab)

  2. Dynamic Procedural Music Generation from NPC Attributes

    <p>Procedural content generation for video games (PCGG) has seen a steep increase in the past decade, aiming to foster emergent gameplay as well as to address the challenge of producing large amounts of engaging content quickly. Most work in PCGG has been focused on generating art and assets such …

    calpoly Repository record for Dynamic Procedural Music Generation from NPC Attributes (opens in a new tab)

  3. The Emotion Vectorization Algorithm (EVA): Automated Music Generation from Imaging and Emotion Inputs

    … and Google, have trained models that can create music as well. These state-of-the-art models usually take in an artist or genre, and they output a song corresponding to the received inputs. However, none of these models are designed to generate music according to an \emph{emotional} input, nor …

    mit Repository record for The Emotion Vectorization Algorithm (EVA): Automated Music Generation from Imaging and Emotion Inputs (opens in a new tab)

  4. Personalized and adaptive therapeutic music generation from biosignals using knowledge-guided multimodal large language models

    … represent biosignals, natural language intent, music, and video under long-context constraints. This dissertation presents an end-to-end multimodal large language model ecosystem for personalized therapeutic music generation that combines discrete tokenization, evidence-grounded reasoning, and …

    utc Repository record for Personalized and adaptive therapeutic music generation from biosignals using knowledge-guided multimodal large language models (opens in a new tab)

  5. Latent Walking Techniques for Conditioning GAN-Generated Music

    Artificial music generation is a rapidly developing field focused on the complex task of creating neural networks that can produce realistic-sounding music. Generating music is very difficult; components like long and short term structure present time complexity, which can be difficult for neural …

    vt Repository record for Latent Walking Techniques for Conditioning GAN-Generated Music (opens in a new tab)

  6. Harmonic Data: AI Music, EDM Transcription, & Minimalist Jazz

    … thesis presents research in the domains of music theory and music technology. The topics of the three chapters are as follows: (1) the technical and artistic limitations of artificial intelligence when generating music, (2) the transcription of electronic dance music (EDM) using a hybrid …

    denver Repository record for Harmonic Data: AI Music, EDM Transcription, & Minimalist Jazz (opens in a new tab)