Papers Downbeat Tracking
“Downbeat Tracking” 태그가 달린 논문 14편 · 필터 해제
Beat Tracking as Object Detection
Recent beat and downbeat tracking models (e.g., RNNs, TCNs, Transformers) output frame-level activations. We propose reframing this task as object detection, where beats and downbeats are modeled as temporal "objects." A…
Downbeat TrackingObject DetectionRevisiting Meter Tracking in Carnatic Music using Deep Learning Approaches
Beat and downbeat tracking, jointly referred to as Meter Tracking, is a fundamental task in Music Information Retrieval (MIR). Deep learning models have far surpassed traditional signal processing and classical machine l…
Information RetrievalTransfer LearningDownbeat TrackingBeat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture
Beat tracking in musical performance MIDI is a challenging and important task for notation-level music transcription and rhythmical analysis, yet existing methods primarily focus on audio-based approaches. This paper pro…
Music TranscriptionDownbeat TrackingBeat this! Accurate beat tracking without DBN postprocessing
We propose a system for tracking beats and downbeats with two objectives: generality across a diverse music range, and high accuracy. We achieve generality by training on multiple datasets -- including solo instrument re…
Beat TrackingDownbeat TrackingAll-In-One Metrical And Functional Structure Analysis With Neighborhood Attentions on Demixed Audio
Music is characterized by complex hierarchical structures. Developing a comprehensive model to capture these structures has been a significant challenge in the field of Music Information Retrieval (MIR). Prior research h…
AllDownbeat TrackingInformation RetrievalMusic Information Retrieval+1SingNet: A Real-time Singing Voice Beat and Downbeat Tracking System
Singing voice beat and downbeat tracking posses several applications in automatic music production, analysis and manipulation. Among them, some require real-time processing, such as live performance processing and auto-a…
Downbeat TrackingWaveBeat: End-to-end beat and downbeat tracking in the time domain
Deep learning approaches for beat and downbeat tracking have brought advancements. However, these approaches continue to rely on hand-crafted, subsampled spectral features as input, restricting the information available …
Data AugmentationDownbeat TrackingBeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking
The online estimation of rhythmic information, such as beat positions, downbeat positions, and meter, is critical for many real-time music applications. Musical rhythm comprises complex hierarchical relationships across …
Downbeat TrackingOnline Beat TrackingOnline Downbeat TrackingRhythmSource Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking
Due to advances in deep learning, the performance of automatic beat and downbeat tracking in musical audio signals has seen great improvement in recent years. In training such deep learning based models, data augmentatio…
Data AugmentationDownbeat TrackingDrum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking
This paper presents a novel system architecture that integrates blind source separation with joint beat and downbeat tracking in musical audio signals. The source separation module segregates the percussive and non-percu…
blind source separationDownbeat TrackingOmnizart: A General Toolbox for Automatic Music Transcription
We present and release Omnizart, a new Python library that provides a streamlined solution to automatic music transcription (AMT). Omnizart encompasses modules that construct the life-cycle of deep learning-based AMT, an…
Chord RecognitionDownbeat TrackingInformation RetrievalMusic Information Retrieval+2Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks
The human ability to track musical downbeats is robust to changes in tempo, and it extends to tempi never previously encountered. We propose a deterministic time-warping operation that enables this skill in a convolution…
Downbeat TrackingDeep Learning-Based Automatic Downbeat Tracking: A Brief Review
As an important format of multimedia, music has filled almost everyone's life. Automatic analyzing music is a significant step to satisfy people's need for music retrieval and music recommendation in an effortless way. T…
Deep LearningDownbeat TrackingFeature EngineeringInformation Retrieval+3Robust Downbeat Tracking Using an Ensemble of Convolutional Networks
In this paper, we present a novel state of the art system for automatic downbeat tracking from music signals. The audio signal is first segmented in frames which are synchronized at the tatum level of the music. We then …
Downbeat TrackingRhythm