Search Results for author:
Found 4 papers, 2 papers with code
Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning
Recent advances in text-to-music editing, which employ text queries to modify music (e. g.\ by changing its style or adjusting instrumental components), present unique challenges and opportunities for AI-assisted music creation.
MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models
This paper introduces a novel approach to the editing of music generated by such models, enabling the modification of specific attributes, such as genre, mood and instrument, while maintaining other aspects unchanged.
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
Vector quantization (VQ) is a technique to deterministically learn features with discrete codebook representations.
Automatic Piano Transcription with Hierarchical Frequency-Time Transformer
This is especially helpful when determining the precise onset and offset for each note in the polyphonic piano content.
