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Found 13 papers, 9 papers with code
Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation
Experimental results show that using binary neurons instead of HT or BS indeed leads to better results in a number of objective measures.
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
The three models, which differ in the underlying assumptions and accordingly the network architectures, are referred to as the jamming model, the composer model and the hybrid model.
MusPy: A Toolkit for Symbolic Music Generation
MusPy provides easy-to-use tools for essential components in a music generation system, including dataset management, data I/O, data preprocessing and model evaluation.
Multitrack Music Transformer
Existing approaches for generating multitrack music with transformer models have been limited in terms of the number of instruments, the length of the music segments and slow inference.
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music
In this paper, we aim to further extend this idea and examine the feasibility of automatic instrumentation -- dynamically assigning instruments to notes in solo music during performance.
On Output Activation Functions for Adversarial Losses: A Theoretical Analysis via Variational Divergence Minimization and An Empirical Study on MNIST Classification
2) How different combinations of output activation functions and regularization approaches perform empirically against one another?
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
Further, videos in the wild often contain off-screen sounds and background noise that may hinder the model from learning the desired audio-textual correspondence.
Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation
We propose the BinaryGAN, a novel generative adversarial network (GAN) that uses binary neurons at the output layer of the generator.
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition
Monophonic and homophonic music can be described as homorhythmic, or having a single musical rhythm.
Automatic Melody Harmonization with Triad Chords: A Comparative Study
Several prior works have proposed various methods for the task of automatic melody harmonization, in which a model aims to generate a sequence of chords to serve as the harmonic accompaniment of a given multiple-bar melody sequence.
Deep Performer: Score-to-Audio Music Performance Synthesis
Music performance synthesis aims to synthesize a musical score into a natural performance.
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models
Our results show the effectiveness of the proposed method, and that the pretrained diffusion prior can reduce the modality transfer gap.
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls
We then propose a simple technique to equip this pretrained unconditional music transformer model with instrument and genre controls by finetuning the model with additional control tokens.
