[HTML][HTML] A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
Currently available reviews in the area of artificial intelligence-based music generation do
not provide a wide range of publications and are usually centered around comparing very …
not provide a wide range of publications and are usually centered around comparing very …
A survey on deep learning for symbolic music generation: Representations, algorithms, evaluations, and challenges
S Ji, X Yang, J Luo - ACM Computing Surveys, 2023 - dl.acm.org
Significant progress has been made in symbolic music generation with the help of deep
learning techniques. However, the tasks covered by symbolic music generation have not …
learning techniques. However, the tasks covered by symbolic music generation have not …
EMOPIA: A multi-modal pop piano dataset for emotion recognition and emotion-based music generation
While there are many music datasets with emotion labels in the literature, they cannot be
used for research on symbolic-domain music analysis or generation, as there are usually …
used for research on symbolic-domain music analysis or generation, as there are usually …
Natural language processing methods for symbolic music generation and information retrieval: A survey
Music is frequently associated with the notion of language as both domains share several
similarities, including the ability for their content to be represented as sequences of symbols …
similarities, including the ability for their content to be represented as sequences of symbols …
Ai-based affective music generation systems: A review of methods and challenges
Music is a powerful medium for altering the emotional state of the listener. In recent years,
with significant advancements in computing capabilities, artificial intelligence-based (AI …
with significant advancements in computing capabilities, artificial intelligence-based (AI …
Video2music: Suitable music generation from videos using an affective multimodal transformer model
Numerous studies in the field of music generation have demonstrated impressive
performance, yet virtually no models are able to directly generate music to match …
performance, yet virtually no models are able to directly generate music to match …
Generating music with sentiment using Transformer-GANs
The field of Automatic Music Generation has seen significant progress thanks to the advent
of Deep Learning. However, most of these results have been produced by unconditional …
of Deep Learning. However, most of these results have been produced by unconditional …
Emomusictv: Emotion-conditioned symbolic music generation with hierarchical transformer vae
S Ji, X Yang - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
Emotion is one of the most crucial attributes of music. However, due to the scarcity of
emotional music datasets, emotion-conditioned symbolic music generation using deep …
emotional music datasets, emotion-conditioned symbolic music generation using deep …
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 …
Cross-and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction
The COVID-19 pandemic has dramatically transformed human mobility patterns. Therefore,
human mobility prediction for the “new normal” is crucial to infrastructure redesign …
human mobility prediction for the “new normal” is crucial to infrastructure redesign …