Results 21 to 30 of about 23,204 (110)

A genetic algorithm for composing music [PDF]

Yugoslav Journal of Operations Research, 2010
In this paper, a genetic algorithm for making music compositions is presented. Position based representation of rhythm and relative representation of pitches, based on measuring relation from starting pitch, allow for a flexible and robust way for ...
Matić Dragan
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Measurement of Music Aesthetics Using Deep Neural Networks and Dissonances

Information, 2023
In this paper, a new method that computes the aesthetics of a melody fragment is proposed, starting from dissonances. While music generated with artificial intelligence applications may be produced considerably more quickly than human-composed music, it ...
Razvan Paroiu, Stefan Trausan-Matu
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The construction of improved GCA multi-style music generation model for music intelligent teaching classroom

Systems and Soft Computing
In order to address the limitations of traditional models in generating music styles, a multi style music generation model has been designed to support music teaching. The main contribution of the research is the introduction of a Multi style chord music
Weina Yu
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The Analysis of Multi-Track Music Generation With Deep Learning Models in Music Production Process

IEEE Access
This study aims to explore the application of deep learning models in multi-track music generation to enhance the efficiency and quality of music production.
Rong Jiang, Xiaofei Mou
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Hyperbolic Music Transformer for Structured Music Generation

IEEE Access, 2023
In the field of music generation, generating structured music is a highly challenging research topic. Music generation methods are currently learned in Euclidean space and usually modeled as a time series without structural properties, but due to the ...
Wenkai Huang, Yujia Yu, Haizhou Xu, Zhiwen Su, Yu Wu   +4 more
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VT2Music: A Multimodal Framework for Text-Visual Guided Music Generation and Comprehensive Performance Analysis

IEEE Access
Recent years have witnessed significant advances in text-to-music generation technology through deep learning approaches, particularly using latent diffusion models (LDM), yet there remains a notable absence of artificial intelligence (AI) music ...
Jiaxiang Zheng, Moxi Cao, Chongbin Zhang
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Locating Creativity in Differing Approaches to Musical Robotics

Frontiers in Robotics and AI, 2021
The field of musical robotics presents an interesting case study of the intersection between creativity and robotics. While the potential for machines to express creativity represents an important issue in the field of robotics and AI, this subject is ...
Steven Kemper
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CPTGZ: Generating Chinese Guzheng Music From Chinese Paintings Based on Diffusion Model

IEEE Access
In the context of rapid advancements in artificial intelligence technology, AI-powered music composition has demonstrated remarkable creative capabilities.
Enji Zhao, Jiaxiang Zheng, Moxi Cao
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Harmonizing minds and machines: survey on transformative power of machine learning in music

Frontiers in Neurorobotics, 2023
This survey explores the symbiotic relationship between Machine Learning (ML) and music, focusing on the transformative role of Artificial Intelligence (AI) in the musical sphere.
Jing Liang
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Music Deep Learning: Deep Learning Methods for Music Signal Processing—A Review of the State-of-the-Art

IEEE Access, 2023
The discipline of Deep Learning has been recognized for its strong computational tools, which have been extensively used in data and signal processing, with innumerable promising results.
Lazaros Moysis, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Achilles D. Boursianis, Maria S. Papadopoulou, Konstantinos-Iraklis D. Kokkinidis, Christos Volos, Panagiotis Sarigiannidis, Spiridon Nikolaidis, Sotirios K. Goudos   +9 more
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