Papers Drum Transcription
“Drum Transcription” 태그가 달린 논문 11편 · 필터 해제
The Inverse Drum Machine: Source Separation Through Joint Transcription and Analysis-by-Synthesis
We introduce the Inverse Drum Machine (IDM), a novel approach to drum source separation that combines analysis-by-synthesis with deep learning. Unlike recent supervised methods that rely on isolated stems, IDM requires o…
Drum TranscriptionMeta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio
This study introduces a meta-learning-based approach for low-resource Tabla Stroke Transcription (TST) and $t\bar{a}la$ identification in Hindustani classical music. Using Model-Agnostic Meta-Learning (MAML), we address …
Drum TranscriptionMeta-LearningMusic TranscriptionAnalyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription
Automatic drum transcription is a critical tool in Music Information Retrieval for extracting and analyzing the rhythm of a music track, but it is limited by the size of the datasets available for training. A popular met…
Drum TranscriptionInformation RetrievalMusic Information RetrievalRhythmYourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation
Multi-instrument music transcription aims to convert polyphonic music recordings into musical scores assigned to each instrument. This task is challenging for modeling as it requires simultaneously identifying multiple i…
Drum TranscriptionDrum Transcription in Music (DTM)Mixture-of-ExpertsMulti-instrument Music Transcription+2AIoT-Based Drum Transcription Robot using Convolutional Neural Networks
With the development of information technology, robot technology has made great progress in various fields. These new technologies enable robots to be used in industry, agriculture, education and other aspects. In this p…
Drum TranscriptionMusic TranscriptionGlobal Structure-Aware Drum Transcription Based on Self-Attention Mechanisms
This paper describes an automatic drum transcription (ADT) method that directly estimates a tatum-level drum score from a music signal, in contrast to most conventional ADT methods that estimate the frame-level onset pro…
DecoderDrum TranscriptionTatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training
This paper describes a neural drum transcription method that detects from music signals the onset times of drums at the $\textit{tatum}$ level, where tatum times are assumed to be estimated in advance. In conventional st…
Drum TranscriptionLanguage ModelingLanguage ModellingUltra-light deep MIR by trimming lottery tickets
Current state-of-the-art results in Music Information Retrieval are largely dominated by deep learning approaches. These provide unprecedented accuracy across all tasks. However, the consistently overlooked downside of t…
Audio ClassificationCPUDrum TranscriptionInformation Retrieval+2Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset
We introduce the Expanded Groove MIDI dataset (E-GMD), an automatic drum transcription (ADT) dataset that contains 444 hours of audio from 43 drum kits, making it an order of magnitude larger than similar datasets, and t…
Drum TranscriptionTowards multi-instrument drum transcription
Automatic drum transcription, a subtask of the more general automatic music transcription, deals with extracting drum instrument note onsets from an audio source. Recently, progress in transcription performance has been …
Drum TranscriptionMusic TranscriptionA Review of Automatic Drum Transcription
In Western popular music, drums and percussion are an important means to emphasize and shape the rhythm, often defining the musical style. If computers were able to analyze the drum part in recorded music, it would enabl…
Drum TranscriptionDrum Transcription in Music (DTM)Information RetrievalMusic Information Retrieval+1