Results 21 to 30 of about 4,915,608 (331)
SSRN Electronic Journal, 2020 Recent advancements in neural networks have helped algorithms to generate musical sound that is comparable to sounds composed by humans. In this project, polyphonic music is generated using Deep Learning neural network. Unlike generating images and videos, generating music is a bit different; generating music is time dependent.
Vineet Tiwari +2 more
openaire +2 more sources
Sofcomputing approach to melody generation based on harmonic analysis [PDF]
International Journal of Electronics and TelecommunicationsThis work aims to create an ANN-based system for a musical improviser. An artificial improviser of "hearing" music will create a melody. The data supplied to the improviser is MIDItype musical data.
Jarosław Mazurkiewicz
doaj +3 more sources
Creation of a New Domain and Evaluation of Comparison Generation in a Natural Language Generation System [PDF]
, 2008 We describe the creation of a new domain for the Methodius Natural Language Generation System, and an evaluation of Methodius ’ parameterized comparison generation algorithm.
Isard, Amy +2 more
core +2 more sources
Measurement of Emotional Response by Similarity in Patterns of Galvanic Skin Reflex [PDF]
, 1989 There is no doubt that many people feel the peace of mind or the pleasures of senses in appreciating music. But the estimation of the effect is very difficult and the objective estimation can be hardly done.
Isshiki, Hiromi +3 more
core +1 more source
Monophonic Music Generation With a Given Emotion Using Conditional Variational Autoencoder
IEEE Access, 2021 The rapid increase in the importance of human-machine interaction and the accelerating pace of life pose various challenges for the creators of digital environments.
Jacek Grekow, Teodora Dimitrova-Grekow
doaj +1 more source
, 2021 In music there are a set of rules a melody must follow in order to sound pleasant to the listener. In machine learning artificial neural networks are the king at learning pattern. The purpose is to explore what type of artificial neural networks and data representations best fits for generating melodies.
openaire +1 more source
Applied Sciences, 2022 Recent studies demonstrate that algorithmic music attracted global attention not only because of its amusement but also its considerable potential in the industry.
Fanzhi Jiang +4 more
doaj +1 more source
Fast Jukebox: Accelerating Music Generation with Knowledge Distillation
Applied Sciences, 2023 The Jukebox model can generate high-diversity music within a single system, which is achieved by using a hierarchical VQ-VAE architecture to compress audio in a discrete space at different compression levels.
Michel Pezzat-Morales +2 more
doaj +1 more source
Applying Meta-Learning and Iso Principle for Development of EEG-Based Emotion Induction System
Frontiers in Digital Health, 2022 Music is often used for emotion induction. ince the emotions felt when listening to it vary from person to person, customized music is required. Our previous work designed a music generation system that created personalized music based on participants ...
Kana Miyamoto +5 more
doaj +1 more source
Generative Music Editorial [PDF]
Contemporary Music Review, 2009 An issue on generative music in Contemporary Music Review allows space to explore many of these controversies, and to explore the rich algorithmic scene in contemporary practice, as well as the diverse origins and manifestations of such a culture. A roster of interesting exponents from both academic and arts practice backgrounds are involved, matching ...
Collins, Nick, Brown, Andrew R
openaire +2 more sources