Results 31 to 40 of about 4,915,608 (331)

Conceptualising quality early childhood education: Learning from young children in Brazil and South Africa through creative and play‐based methods

British Educational Research Journal, EarlyView., 2023
Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright, Irene Rizzini, Malibongwe Gwele, Lynn McNair, Cristina Laclette Porto, Marsha Orgill, E. Kay M. Tisdall, Malcolm Bush, Linda Biersteker   +8 more
wiley   +1 more source

Automatic Music Generation

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: Automatic generation of music is an evolving field that harnesses artificial intelligence and machine learning techniques to create musical compositions. This research paper investigates the application of Long Short-Term Memory (LSTM) networks and Markov chains for automatic music generation.
Anand Magar, Adarsh Acharya, Sakshi Bothe, Harsh Bihani, Tejas Desai   +4 more
openaire   +1 more source

Generation of Melodies for the Lost Chant of the Mozarabic Rite

Applied Sciences, 2019
Prior to the establishment of the Roman rite with its Gregorian chant, in the Iberian Peninsula and Southern France the Mozarabic rite, with its own tradition of chant, was dominant from the sixth until the eleventh century.
Darrell Conklin, Geert Maessen
doaj   +1 more source

The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation

, 2019
With recent breakthroughs in artificial neural networks, deep generative models have become one of the leading techniques for computational creativity.
Chen, Ke, Dubnov, Shlomo, Li, Wei, Xia, Gus, Zhang, Weilin   +4 more
core   +1 more source

Comparing Probabilistic Models for Melodic Sequences [PDF]

, 2011
Modelling the real world complexity of music is a challenge for machine learning. We address the task of modeling melodic sequences from the same music genre.
D. Eck, D. Ron, D.H. Ackley, F. Lerdahl, F. Wood, G.E. Hinton, G.E. Hinton, G.W. Taylor, G.W. Taylor, H. Lee, H. Lee, I. Sutskever, M. Norouzi, S. Dubnov, V. Lavrenko   +14 more
core   +3 more sources

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
doaj   +1 more source

BassNet: A Variational Gated Autoencoder for Conditional Generation of Bass Guitar Tracks with Learned Interactive Control

Applied Sciences, 2020
Deep learning has given AI-based methods for music creation a boost by over the past years. An important challenge in this field is to balance user control and autonomy in music generation systems.
Maarten Grachten, Stefan Lattner, Emmanuel Deruty   +2 more
doaj   +1 more source

Motif Transformer: Generating Music With Motifs

IEEE Access, 2023
Music is composed of a set of regular sound waves, which are usually ordered and have a large number of repetitive structures. Important notes, chords, and music fragments often appear repeatedly.
Heng Wang, Sen Hao, Cong Zhang, Xiaohu Wang, Yilin Chen   +4 more
doaj   +1 more source

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
doaj   +1 more source

Diff-BGM: A Diffusion Model for Video Background Music Generation [PDF]

Computer Vision and Pattern Recognition
When editing a video, a piece of attractive background music is indispensable. However, video background music generation tasks face several challenges, for example, the lack of suitable training datasets, and the difficulties in flexibly controlling the
Sizhe Li, Yiming Qin, Minghang Zheng, Xin Jin, Yang Liu   +4 more
semanticscholar   +1 more source