Results 11 to 20 of about 5,794,161 (178)

Predominant audio source separation in polyphonic music

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2023
Predominant source separation is the separation of one or more desired predominant signals, such as voice or leading instruments, from polyphonic music.
Lekshmi Chandrika Reghunath   +1 more
doaj   +3 more sources

A Conditioned UNet for Music Source Separation

open access: yesCoRR
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 predefined instrument vocabulary. In contrast, conditioned MSS networks accept an audio query related to a stem of interest alongside the ...
Ken O'Hanlon   +3 more
core   +6 more sources

Music Source Separation PyTorch Checkpoints

open access: yes, 2021
Checkpoints of music source separation system. Users can separate vocals and accompaniment by using these checkpoints. See the GitHub repo for details: https://github.com/bytedance/music_source_separation Reference [1] Qiuqiang Kong, Yin Cao, Haohe Liu, Keunwoo Choi, Yuxuan Wang, Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music ...
Qiuqiang Kong   +4 more
openaire   +6 more sources

Applying source separation to music [PDF]

open access: yes, 2018
Separation of existing audio into remixable elements is very useful to repurpose music audio. Applications include upmixing video soundtracks to surround sound (e.g. home theater 5.1 systems), facilitating music transcriptions, allowing better mashups and remixes for disk jockeys, and rebalancing sound levels on multiple instruments or voices recorded ...
Pardo, Bryan   +3 more
openaire   +2 more sources

Towards robust music source separation on loud commercial music

open access: yesCoRR, 2022
Nowadays, commercial music has extreme loudness and heavily compressed dynamic range compared to the past. Yet, in music source separation, these characteristics have not been thoroughly considered, resulting in the domain mismatch between the laboratory and the real world.
Chang-Bin Jeon, Kyogu Lee
openaire   +6 more sources

Vocal Source Separation for Carnatic Music [PDF]

open access: yes, 2023
Carnatic Music is a Classical music form that originates from the South of India and is extremely varied from Western genres. Music Information Retrieval (MIR) has predominantly been used to tackle problems in western musical genres and cannot be adapted to non western musical styles like Carnatic Music due to the fundamental difference in melody ...
Adithi Shankar Sivasankar
openaire   +3 more sources

An iterative, residual-based approach to unsupervised musical source separation in single-channel mixtures [PDF]

open access: yes, 2009
This thesis concentrates on a major problem within audio signal processing, the separation of source signals from musical mixtures when only a single mixture channel is available.
Siamantas, Georgios
core   +6 more sources

Conditioned Source Separation for Musical Instrument Performances [PDF]

open access: yesIEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021
14 pages, 5 figures, under ...
Olga Slizovskaia   +2 more
openaire   +5 more sources

Hybrid Transformers for Music Source Separation

open access: yesICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
A natural question arising in Music Source Separation (MSS) is whether long range contextual information is useful, or whether local acoustic features are sufficient. In other fields, attention based Transformers have shown their ability to integrate information over long sequences.
Simon Rouard   +2 more
openaire   +8 more sources

Upsampling Layers for Music Source Separation

open access: yes2023 31st European Signal Processing Conference (EUSIPCO), 2023
Upsampling artifacts are caused by problematic upsampling layers and due to spectral replicas that emerge while upsampling. Also, depending on the used upsampling layer, such artifacts can either be tonal artifacts (additive high-frequency noise) or filtering artifacts (substractive, attenuating some bands).
Jordi Pons   +5 more
openaire   +2 more sources

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