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Meta-learning Extractors for Music Source Separation

Meta-learning Extractors for Music Source Separation

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
17 February 2020
David Samuel
Aditya Ganeshan
Jason Naradowsky
ArXiv (abs)PDFHTML

Papers citing "Meta-learning Extractors for Music Source Separation"

34 / 34 papers shown
CVSM: Contrastive Vocal Similarity Modeling
CVSM: Contrastive Vocal Similarity Modeling
C. Garoufis
Athanasia Zlatintsi
Petros Maragos
SSL
225
0
0
03 Oct 2025
Local Equivariance Error-Based Metrics for Evaluating Sampling-Frequency-Independent Property of Neural Network
Local Equivariance Error-Based Metrics for Evaluating Sampling-Frequency-Independent Property of Neural Network
Kanami Imamura
Tomohiko Nakamura
Norihiro Takamune
Kohei Yatabe
Hiroshi Saruwatari
183
0
0
04 Jun 2025
A Two-Stage Band-Split Mamba-2 Network For Music Separation
A Two-Stage Band-Split Mamba-2 Network For Music Separation
Jinglin Bai
Yuan Fang
Jiajie Wang
Xueliang Zhang
Mamba
296
3
0
10 Sep 2024
A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond
  Four Stems
A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems
Karn N. Watcharasupat
Alexander Lerch
503
8
0
26 Jun 2024
Real-time Low-latency Music Source Separation using Hybrid
  Spectrogram-TasNet
Real-time Low-latency Music Source Separation using Hybrid Spectrogram-TasNet
Satvik Venkatesh
Arthur Benilov
Philip Coleman
Frederic Roskam
358
11
0
27 Feb 2024
Resource-constrained stereo singing voice cancellation
Resource-constrained stereo singing voice cancellationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Clara Borrelli
James Rae
Dogac Basaran
Matt McVicar
M. Souden
Matthias Mauch
203
0
0
22 Jan 2024
Toward Deep Drum Source Separation
Toward Deep Drum Source SeparationPattern Recognition Letters (PR), 2023
Alessandro Ilic Mezza
Riccardo Giampiccolo
Alberto Bernardini
Augusto Sarti
420
8
0
15 Dec 2023
Self-Supervised Music Source Separation Using Vector-Quantized Source
  Category Estimates
Self-Supervised Music Source Separation Using Vector-Quantized Source Category Estimates
Marco Pasini
Stefan Lattner
George Fazekas
230
1
0
21 Nov 2023
Sampling-Frequency-Independent Universal Sound Separation
Sampling-Frequency-Independent Universal Sound Separation
Tomohiko Nakamura
Kohei Yatabe
195
0
0
22 Sep 2023
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
Matthew B. Webster
Joonnyong Lee
413
1
0
31 Aug 2023
Algorithms of Sampling-Frequency-Independent Layers for Non-integer
  Strides
Algorithms of Sampling-Frequency-Independent Layers for Non-integer StridesEuropean Signal Processing Conference (EUSIPCO), 2023
Kanami Imamura
Tomohiko Nakamura
Norihiro Takamune
Kohei Yatabe
Hiroshi Saruwatari
174
5
0
19 Jun 2023
Music Source Separation with Band-split RNN
Music Source Separation with Band-split RNNIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Yi Luo
Jianwei Yu
319
199
0
30 Sep 2022
PoLyScriber: Integrated Fine-tuning of Extractor and Lyrics Transcriber
  for Polyphonic Music
PoLyScriber: Integrated Fine-tuning of Extractor and Lyrics Transcriber for Polyphonic MusicIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Xiaoxue Gao
Chitralekha Gupta
Haizhou Li
337
9
0
15 Jul 2022
Few-Shot Musical Source Separation
Few-Shot Musical Source SeparationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Yu Wang
Daniel Stoller
Rachel M. Bittner
J. P. Bello
306
21
0
03 May 2022
SoundBeam: Target sound extraction conditioned on sound-class labels and
  enrollment clues for increased performance and continuous learning
SoundBeam: Target sound extraction conditioned on sound-class labels and enrollment clues for increased performance and continuous learningIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Marc Delcroix
Jorge Bennasar Vázquez
Tsubasa Ochiai
K. Kinoshita
Yasunori Ohishi
S. Araki
VLM
389
46
0
08 Apr 2022
Improving Source Separation by Explicitly Modeling Dependencies Between
  Sources
Improving Source Separation by Explicitly Modeling Dependencies Between SourcesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Ethan Manilow
Curtis Hawthorne
Cheng-Zhi Anna Huang
Bryan Pardo
Jesse Engel
BDL
200
10
0
28 Mar 2022
Zero-shot Audio Source Separation through Query-based Learning from
  Weakly-labeled Data
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data
Ke Chen
Xingjian Du
Bilei Zhu
Zejun Ma
Taylor Berg-Kirkpatrick
Shlomo Dubnov
391
57
0
15 Dec 2021
Learning source-aware representations of music in a discrete latent
  space
Learning source-aware representations of music in a discrete latent space
Jinsung Kim
Yeong-Seok Jeong
Woosung Choi
Jaehwa Chung
Soonyoung Jung
BDLDRL
165
0
0
26 Nov 2021
LightSAFT: Lightweight Latent Source Aware Frequency Transform for
  Source Separation
LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation
Yeong-Seok Jeong
Jinsung Kim
Woosung Choi
Jaehwa Chung
Soonyoung Jung
249
2
0
24 Nov 2021
A Unified Model for Zero-shot Music Source Separation, Transcription and
  Synthesis
A Unified Model for Zero-shot Music Source Separation, Transcription and SynthesisInternational Society for Music Information Retrieval Conference (ISMIR), 2021
Liwei Lin
Qiuqiang Kong
Junyan Jiang
Gus Xia
207
35
0
07 Aug 2021
Sampling-Frequency-Independent Audio Source Separation Using Convolution
  Layer Based on Impulse Invariant Method
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant MethodEuropean Signal Processing Conference (EUSIPCO), 2021
Koichi Saito
Tomohiko Nakamura
Kohei Yatabe
Yuma Koizumi
Hiroshi Saruwatari
BDLVLM
236
8
0
10 May 2021
AMSS-Net: Audio Manipulation on User-Specified Sources with Textual
  Queries
AMSS-Net: Audio Manipulation on User-Specified Sources with Textual QueriesACM Multimedia (ACM MM), 2021
Woosung Choi
Minseok Kim
Marco A. Martínez-Ramírez
Jaehwa Chung
Soonyoung Jung
161
6
0
28 Apr 2021
Points2Sound: From mono to binaural audio using 3D point cloud scenes
Points2Sound: From mono to binaural audio using 3D point cloud scenesEURASIP Journal on Audio, Speech, and Music Processing (EURASIP J. Audio Speech Music Process), 2021
Francesc Lluís
V. Chatziioannou
A. Hofmann
3DPC
359
8
0
26 Apr 2021
A cappella: Audio-visual Singing Voice Separation
A cappella: Audio-visual Singing Voice SeparationBritish Machine Vision Conference (BMVC), 2021
Juan F. Montesinos
V. S. Kadandale
G. Haro
448
20
0
20 Apr 2021
Music source separation conditioned on 3D point clouds
Music source separation conditioned on 3D point clouds
Francesc Lluís
V. Chatziioannou
A. Hofmann
3DPC
194
5
0
03 Feb 2021
Densely connected multidilated convolutional networks for dense
  prediction tasks
Densely connected multidilated convolutional networks for dense prediction tasksComputer Vision and Pattern Recognition (CVPR), 2020
Naoya Takahashi
Yuki Mitsufuji
3DV
248
75
0
21 Nov 2020
LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned
  Source Separation
LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation
Woosung Choi
Minseok Kim
Jaehwa Chung
Soonyoung Jung
381
40
0
22 Oct 2020
Fast accuracy estimation of deep learning based multi-class musical
  source separation
Fast accuracy estimation of deep learning based multi-class musical source separation
A. Mocanu
B. Ricaud
Milos Cernak
193
0
0
19 Oct 2020
All for One and One for All: Improving Music Separation by Bridging
  Networks
All for One and One for All: Improving Music Separation by Bridging NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Ryosuke Sawata
Stefan Uhlich
Shusuke Takahashi
Yuki Mitsufuji
347
60
0
08 Oct 2020
D3Net: Densely connected multidilated DenseNet for music source
  separation
D3Net: Densely connected multidilated DenseNet for music source separation
Naoya Takahashi
Yuki Mitsufuji
MedIm
519
84
0
05 Oct 2020
Content based singing voice source separation via strong conditioning
  using aligned phonemes
Content based singing voice source separation via strong conditioning using aligned phonemes
Gabriel Meseguer-Brocal
Geoffroy Peeters
197
9
0
05 Aug 2020
Revisiting Representation Learning for Singing Voice Separation with
  Sinkhorn Distances
Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances
S. I. Mimilakis
Konstantinos Drossos
G. Schuller
217
2
0
06 Jul 2020
Unsupervised Interpretable Representation Learning for Singing Voice
  Separation
Unsupervised Interpretable Representation Learning for Singing Voice SeparationEuropean Signal Processing Conference (EUSIPCO), 2020
S. I. Mimilakis
Konstantinos Drossos
G. Schuller
328
8
0
03 Mar 2020
Music Source Separation in the Waveform Domain
Music Source Separation in the Waveform Domain
Alexandre Défossez
Nicolas Usunier
Léon Bottou
Francis R. Bach
497
311
0
27 Nov 2019
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