Computational creativity and music generation systems: An introduction to the state of the art
F Carnovalini, A Rodà - Frontiers in Artificial Intelligence, 2020 - frontiersin.org
Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors
from computers. One of its most prolific subfields is that of Music Generation (also called …
from computers. One of its most prolific subfields is that of Music Generation (also called …
Ditto: Diffusion inference-time t-optimization for music generation
We propose Diffusion Inference-Time T-Optimization (DITTO), a general-purpose frame-
work for controlling pre-trained text-to-music diffusion models at inference-time via …
work for controlling pre-trained text-to-music diffusion models at inference-time via …
Mrbert: Pre-training of melody and rhythm for automatic music generation
S Li, Y Sung - Mathematics, 2023 - mdpi.com
Deep learning technology has been extensively studied for its potential in music, notably for
creative music generation research. Traditional music generation approaches based on …
creative music generation research. Traditional music generation approaches based on …
Chord conditioned melody generation with transformer based decoders
K Choi, J Park, W Heo, S Jeon, J Park - IEEE Access, 2021 - ieeexplore.ieee.org
For successful artificial music composition, chords and melody must be aligned well. Yet,
chord conditioned melody generation remains a challenging task mainly due to its …
chord conditioned melody generation remains a challenging task mainly due to its …
Research in Computational Expressive Music Performance and Popular Music Production: A Potential Field of Application?
In music, the interpreter manipulates the performance parameters in order to offer a sonic
rendition of the piece that is capable of conveying specific expressive intentions. Since the …
rendition of the piece that is capable of conveying specific expressive intentions. Since the …
MelodyDiffusion: chord-conditioned melody generation using a transformer-based diffusion model
S Li, Y Sung - Mathematics, 2023 - mdpi.com
Artificial intelligence, particularly machine learning, has begun to permeate various real-
world applications and is continually being explored in automatic music generation. The …
world applications and is continually being explored in automatic music generation. The …
Transformer-based seq2seq model for chord progression generation
S Li, Y Sung - Mathematics, 2023 - mdpi.com
Machine learning is widely used in various practical applications with deep learning models
demonstrating advantages in handling huge data. Treating music as a special language and …
demonstrating advantages in handling huge data. Treating music as a special language and …
Computational similarity of Portuguese folk melodies using hierarchical reduction
N Carvalho, D Diogo, G Bernardes - Proceedings of the 10th …, 2023 - dl.acm.org
We propose a method for computing the similarity of symbolically-encoded Portuguese folk
melodies. The main novelty of our method is the use of a preprocessing melodic reduction at …
melodies. The main novelty of our method is the use of a preprocessing melodic reduction at …
A framework for content-based search in large music collections
T Zhu, R Fournier-S'niehotta, P Rigaux… - Big Data and Cognitive …, 2022 - mdpi.com
We address the problem of scalable content-based search in large collections of music
documents. Music content is highly complex and versatile and presents multiple facets that …
documents. Music content is highly complex and versatile and presents multiple facets that …
A rhythm-aware serious game for social interaction
Making music with others is both an artistic act and a social activity. Music therapists can
leverage the social aspects of music to increase the well-being of their patients by …
leverage the social aspects of music to increase the well-being of their patients by …