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Found 10 papers, 6 papers with code
Performance Conditioning for Diffusion-Based Multi-Instrument Music Synthesis
Building on state-of-the-art diffusion-based music generative models, we introduce performance conditioning - a simple tool indicating the generative model to synthesize music with style and timbre of specific instruments taken from specific performances.
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music
To model the periodicity of beats, state-of-the-art beat tracking systems use "post-processing trackers" (PPTs) that rely on several empirically determined global assumptions for tempo transition, which work well for music with a steady tempo.
Stabilizing Training with Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation with Weakly Aligned Targets
Typically, SDTW is used to iteratively compute and refine soft alignments that compensate for temporal deviations between the training data and its weakly annotated targets.
Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond
Many tasks in music information retrieval (MIR) involve weakly aligned data, where exact temporal correspondences are unknown.
An Analysis Method for Metric-Level Switching in Beat Tracking
For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model.
Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer
To condition the generation process of such a model with a user-specified sequence, a popular approach is to take that conditioning sequence as a priming sequence and ask a Transformer decoder to generate a continuation.
Music Generation
Representation Learning
Sound
Multimedia
Audio and Speech Processing
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning
The deployment of machine listening algorithms in real-life applications is often impeded by a domain shift caused for instance by different microphone characteristics.
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching
The performance of machine learning algorithms is known to be negatively affected by possible mismatches between training (source) and test (target) data distributions.
Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters
In this article we explore how the different semantics of spectrograms' time and frequency axes can be exploited for musical tempo and key estimation using Convolutional Neural Networks (CNN).
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies
There has been a rapid growth of digitally available music data, including audio recordings, digitized images of sheet music, album covers and liner notes, and video clips.
