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Music Source Separation
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Music source separation is the task of decomposing music into its constitutive components, e. g., yielding separated stems for the vocals, bass, and drums.
<span style="color:grey; opacity: 0.6">( Image credit: SigSep )</span>
논문
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Training-Free Multi-Step Audio Source Separation
Is MixIT Really Unsuitable for Correlated Sources? Exploring MixIT for Unsupervised Pre-training in Music Source Separation
Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline
Score-informed Music Source Separation: Improving Synthetic-to-real Generalization in Classical Music
Separate This, and All of these Things Around It: Music Source Separation via Hyperellipsoidal Queries
Sanidha: A Studio Quality Multi-Modal Dataset for Carnatic Music
MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation
Learned Compression for Compressed Learning
Music Foundation Model as Generic Booster for Music Downstream Tasks
Task-Aware Unified Source Separation
An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation
SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation
Improving Real-Time Music Accompaniment Separation with MMDenseNet
A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems
Why does music source separation benefit from cacophony?
Real-time Low-latency Music Source Separation using Hybrid Spectrogram-TasNet
A fully differentiable model for unsupervised singing voice separation
SCNet: Sparse Compression Network for Music Source Separation
Resource-constrained stereo singing voice cancellation
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models
Subnetwork-to-go: Elastic Neural Network with Dynamic Training and Customizable Inference
Pre-training Music Classification Models via Music Source Separation
Pre-trained Spatial Priors on Multichannel NMF for Music Source Separation
MBTFNet: Multi-Band Temporal-Frequency Neural Network For Singing Voice Enhancement
Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET)
The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track
Self-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data
Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3
Quantifying Spatial Audio Quality Impairment
The Whole Is Greater than the Sum of Its Parts: Improving Music Source Separation by Bridging Network
Pac-HuBERT: Self-Supervised Music Source Separation via Primitive Auditory Clustering and Hidden-Unit BERT
Hybrid Y-Net Architecture for Singing Voice Separation
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training
Hybrid Transformers for Music Source Separation
MedleyVox: An Evaluation Dataset for Multiple Singing Voices Separation
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