research
∙
08/09/2022
DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation
A vocoder is a conditional audio generation model that converts acoustic...
share
research
∙
02/20/2022
towards automatic transcription of polyphonic electric guitar music:a new dataset and a multi-loss transformer model
In this paper, we propose a new dataset named EGDB, that con-tains trans...
research
∙
06/16/2021
Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking
Due to advances in deep learning, the performance of automatic beat and ...
research
∙
01/07/2021
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
To apply neural sequence models such as the Transformers to music genera...
research
∙
08/06/2020
Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation
Blind music source separation has been a popular and active subject of r...
research
∙
08/04/2020
Automatic Composition of Guitar Tabs by Transformers and Groove Modeling
Deep learning algorithms are increasingly developed for learning to comp...
research
∙
01/08/2020
Automatic Melody Harmonization with Triad Chords: A Comparative Study
Several prior works have proposed various methods for the task of automa...
research
∙
09/19/2017
