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Found 7 papers, 4 papers with code
VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance
Restoring degraded music signals is essential to enhance audio quality for downstream music manipulation.
Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods
In the past, there have been several works that attempt to segment music into the audio and symbolic domains, however, the identification and segmentation of the music structure at different levels is still an open research problem in this area.
A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives
How humans perceive and understand music is still being studied and is crucial to develop artificial intelligence models that imitate such processes.
Subjective Evaluation of Deep Learning Models for Symbolic Music Composition
We use this method to compare state-of-the-art models for music composition with deep learning.
Music Composition with Deep Learning: A Review
Generating a complex work of art such as a musical composition requires exhibiting true creativity that depends on a variety of factors that are related to the hierarchy of musical language.
Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model
It has been possible to assess the ability to classify instruments by timbre even if the instruments are playing the same note with the same intensity.
Music Boundary Detection using Convolutional Neural Networks: A comparative analysis of combined input features
The objective of this work is to establish a general method of pre-processing these inputs by comparing the inputs calculated from different pooling strategies, distance metrics and audio characteristics, also taking into account the computing time to obtain them.
