Papers Music Source Separation
“Music Source Separation” 태그가 달린 논문 115편 · 필터 해제
Music-Source-Separation-Training (MSST): A Unified Framework for Training and Evaluating Music Demixing Models
Music Source Separation (MSS), the task of recovering individual sound components (stems) from a polyphonic mixture, is central to applications ranging from karaoke and remixing to audio restoration and content productio…
Music Source SeparationMusic Source Restoration with Ensemble Separation and Targeted Reconstruction
The Inaugural Music Source Restoration (MSR) Challenge targets the recovery of original, unprocessed stems from fully mixed and mastered music. Unlike conventional music source separation, MSR requires reversing complex …
Music Source SeparationThe Costs of Reproducibility in Music Separation Research: a Replication of Band-Split RNN
Music source separation is the task of isolating the instrumental tracks from a music song. Despite its spectacular recent progress, the trend towards more complex architectures and training protocols exacerbates reprodu…
Music Source SeparationA Knowledge-Driven Approach to Music Segmentation, Music Source Separation and Cinematic Audio Source Separation
We propose a knowledge-driven, model-based approach to segmenting audio into single-category and mixed-category chunks with applications to source separation. "Knowledge" here denotes information associated with the data…
Music Source SeparationAudio Source SeparationA Conditioned UNet for Music Source Separation
In this paper we propose a conditioned UNet for Music Source Separation (MSS). MSS is generally performed by multi-output neural networks, typically UNets, with each output representing a particular stem from a predefine…
Music Source SeparationThe Spheres Dataset: Multitrack Orchestral Recordings for Music Source Separation and Information Retrieval
This paper introduces The Spheres dataset, multitrack orchestral recordings designed to advance machine learning research in music source separation and related MIR tasks within the classical music domain. The dataset is…
Music Source SeparationInformation RetrievalMamba2 Meets Silence: Robust Vocal Source Separation for Sparse Regions
We introduce a new music source separation model tailored for accurate vocal isolation. Unlike Transformer-based approaches, which often fail to capture intermittently occurring vocals, our model leverages Mamba2, a rece…
Music Source SeparationUser-guided Generative Source Separation
Music source separation (MSS) aims to extract individual instrument sources from their mixture. While most existing methods focus on the widely adopted four-stem separation setup (vocals, bass, drums, and other instrumen…
Music Source SeparationMusic Source Restoration
We introduce Music Source Restoration (MSR), a novel task addressing the gap between idealized source separation and real-world music production. Current Music Source Separation (MSS) approaches assume mixtures are simpl…
Music Source SeparationTraining-Free Multi-Step Audio Source Separation
Audio source separation aims to separate a mixture into target sources. Previous audio source separation systems usually conduct one-step inference, which does not fully explore the separation ability of models. In this …
Audio Source SeparationDenoisingMusic Source SeparationSpeech EnhancementIs MixIT Really Unsuitable for Correlated Sources? Exploring MixIT for Unsupervised Pre-training in Music Source Separation
In music source separation (MSS), obtaining isolated sources or stems is highly costly, making pre-training on unlabeled data a promising approach. Although source-agnostic unsupervised learning like mixture-invariant tr…
Music Source SeparationUnsupervised Pre-trainingSolving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline
Short video platforms like YouTube Shorts and TikTok face significant copyright compliance challenges, as infringers frequently embed arbitrary background music (BGM) to obscure original soundtracks (OST) and evade conte…
Music Source SeparationVideo RestorationScore-informed Music Source Separation: Improving Synthetic-to-real Generalization in Classical Music
Music source separation is the task of separating a mixture of instruments into constituent tracks. Music source separation models are typically trained using only audio data, although additional information can be used …
Music Source SeparationSeparate This, and All of these Things Around It: Music Source Separation via Hyperellipsoidal Queries
Music source separation is an audio-to-audio retrieval task of extracting one or more constituent components, or composites thereof, from a musical audio mixture. Each of these constituent components is often referred to…
AllMusic Source SeparationRetrievalSanidha: A Studio Quality Multi-Modal Dataset for Carnatic Music
Music source separation demixes a piece of music into its individual sound sources (vocals, percussion, melodic instruments, etc.), a task with no simple mathematical solution. It requires deep learning methods involving…
Music Source SeparationMAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation
Music source separation and pitch estimation are two vital tasks in music information retrieval. Typically, the input of pitch estimation is obtained from the output of music source separation. Therefore, existing method…
Information RetrievalMusic Information RetrievalMusic Source SeparationLearned Compression for Compressed Learning
Modern sensors produce increasingly rich streams of high-resolution data. Due to resource constraints, machine learning systems discard the vast majority of this information via resolution reduction. Compressed-domain le…
Colorizationdocument understandingimage-classificationImage Classification+1Music Foundation Model as Generic Booster for Music Downstream Tasks
We demonstrate the efficacy of using intermediate representations from a single foundation model to enhance various music downstream tasks. We introduce SoniDo, a music foundation model (MFM) designed to extract hierarch…
Music Source SeparationMusic TaggingMusic TranscriptionTask-Aware Unified Source Separation
Several attempts have been made to handle multiple source separation tasks such as speech enhancement, speech separation, sound event separation, music source separation (MSS), or cinematic audio source separation (CASS)…
Audio Source SeparationMusic Source SeparationSpeech EnhancementSpeech SeparationAn Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation
Music source separation (MSS) is a task that involves isolating individual sound sources, or stems, from mixed audio signals. This paper presents an ensemble approach to MSS, combining several state-of-the-art architectu…
Music Source Separation