30+ Years of Source Separation Research: Achievements and Future Challenges | Paper Citation Record

Observation 66039681-51f3-412a-9add-b2908162e0f3 · outbound

This paper cites Makino et al.

30+ Years of Source Separation Research: Achievements and Future Challenges Makino et al

Reference 1

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Observation 736c8d09-df74-4a85-bb7c-28e4633d0add · outbound

This paper cites Vincent et al.

30+ Years of Source Separation Research: Achievements and Future Challenges Vincent et al

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.979614Z

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Observation 3bb3c73e-a1eb-413d-8084-c9d705b72b79 · outbound

This paper cites Makino, Ed., Audio Source Separation.

30+ Years of Source Separation Research: Achievements and Future Challenges Makino, Ed., Audio Source Separation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.956499Z

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Observation 1b2c4624-4475-4fc9-aa3b-06ebb525cacd · outbound

This paper cites An information-maximiza tion approach to blind separation and blind deconvolution,.

30+ Years of Source Separation Research: Achievements and Future Challenges An information-maximiza tion approach to blind separation and blind deconvolution,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.934151Z

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Observation 870d4917-c466-458a-bfab-82a80a7b75aa · outbound

This paper cites Independent vector analysis: An extension of ICA to multivariate components,.

30+ Years of Source Separation Research: Achievements and Future Challenges Independent vector analysis: An extension of ICA to multivariate components,

Reference 5

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Observation 4cc27141-0121-4c37-a4b9-771024d73a11 · outbound

This paper cites Solution of permutation problem in frequency domain ICA, using multivariate probability density functions,.

30+ Years of Source Separation Research: Achievements and Future Challenges Solution of permutation problem in frequency domain ICA, using multivariate probability density functions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.886743Z

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Observation d76fbe57-6547-422c-8bd5-bb40281b16ee · outbound

This paper cites Stable and fast update rules for independent vec tor analysis based on auxiliary function technique,.

30+ Years of Source Separation Research: Achievements and Future Challenges Stable and fast update rules for independent vec tor analysis based on auxiliary function technique,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.861216Z

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Observation e821f9c6-d1f8-46d5-b71a-4262efe581a9 · outbound

This paper cites De- termined blind source separation unifying independent vec tor analysis and nonnegative matrix factorization,.

30+ Years of Source Separation Research: Achievements and Future Challenges De- termined blind source separation unifying independent vec tor analysis and nonnegative matrix factorization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.835349Z

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Observation 1d06c82a-0273-40f9-80c8-7f6904a3b18c · outbound

This paper cites Blind separation of speech mix tures via time- frequency masking,.

30+ Years of Source Separation Research: Achievements and Future Challenges Blind separation of speech mix tures via time- frequency masking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.812330Z

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Observation 16c41993-739f-458e-a934-8c8429fa4530 · outbound

This paper cites Complex angular central Gaussian mixture model for directional statistics in mask-based microphone array sig nal processing,.

30+ Years of Source Separation Research: Achievements and Future Challenges Complex angular central Gaussian mixture model for directional statistics in mask-based microphone array sig nal processing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.788797Z

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Observation 94d9700a-ee5d-4877-9e3f-477b692efd87 · outbound

This paper cites A multichannel MMSE-based framework for speech source separation and noise reduction,.

30+ Years of Source Separation Research: Achievements and Future Challenges A multichannel MMSE-based framework for speech source separation and noise reduction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.767321Z

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Observation 93395bf8-37be-413d-a887-fb5713b272a1 · outbound

This paper cites The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone d evices,.

30+ Years of Source Separation Research: Achievements and Future Challenges The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone d evices,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.743647Z

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Observation 54fa587c-f538-475e-baac-48e32fcc4588 · outbound

This paper cites Front-end processing for the CHiME-5 dinner party scenario,.

30+ Years of Source Separation Research: Achievements and Future Challenges Front-end processing for the CHiME-5 dinner party scenario,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.724484Z

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Observation 42dc3eb7-40e4-405b-b458-46eb501d1242 · outbound

This paper cites Under-determined reverberant audio source separation using a full-rank spatial covariance model,.

30+ Years of Source Separation Research: Achievements and Future Challenges Under-determined reverberant audio source separation using a full-rank spatial covariance model,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.687989Z

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Observation b3ccd517-fc61-4246-8c8b-f37a959f7161 · outbound

This paper cites Nonnegative matrix factorization and spatial covari- ance model for under-determined reverberant audio source s eparation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Nonnegative matrix factorization and spatial covari- ance model for under-determined reverberant audio source s eparation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.663917Z

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Observation ced5fb4f-2a6a-4282-a0a4-5a15599bcd0c · outbound

This paper cites Multichannel extensions of non-negative matrix factorization with complex-valued data,.

30+ Years of Source Separation Research: Achievements and Future Challenges Multichannel extensions of non-negative matrix factorization with complex-valued data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.635391Z

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Observation defc5a33-78e7-42d8-a059-6f4349d150e8 · outbound

This paper cites Neural full-rank spatial covariance analysis for blind source separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Neural full-rank spatial covariance analysis for blind source separation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.613300Z

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Observation 9f39167a-0d28-4cb7-8001-fb16864a69d1 · outbound

This paper cites A joint diagonalization based efﬁcient approach to underdetermined blind audio source separation using the mu ltichannel Wiener ﬁlter,.

30+ Years of Source Separation Research: Achievements and Future Challenges A joint diagonalization based efﬁcient approach to underdetermined blind audio source separation using the mu ltichannel Wiener ﬁlter,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.594368Z

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Observation 82fca234-850f-41c7-9c53-a201667750a2 · outbound

This paper cites Fast multichannel nonnegative matrix factorization with directivity-aware jointly-diagonalizable spatial c ovariance matrices for blind source separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Fast multichannel nonnegative matrix factorization with directivity-aware jointly-diagonalizable spatial c ovariance matrices for blind source separation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.570760Z

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Observation 07b8bc20-8243-4166-9d6b-40c84116160d · outbound

This paper cites The DUET blind source separation algorith m,.

30+ Years of Source Separation Research: Achievements and Future Challenges The DUET blind source separation algorith m,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.526502Z

Source-reported events for the cited work

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Observation 3300c9ae-bde6-42ee-8b73-ee10a4b4ec7f · outbound

This paper cites Sound source separat ion: Azimuth discrimination and resynthesis,.

30+ Years of Source Separation Research: Achievements and Future Challenges Sound source separat ion: Azimuth discrimination and resynthesis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.496267Z

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Observation b7a8d4c9-92ec-46b1-b9e2-4e8f2a24c522 · outbound

This paper cites Projection-based demixing of spatial audio,.

30+ Years of Source Separation Research: Achievements and Future Challenges Projection-based demixing of spatial audio,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.468711Z

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Observation e5aec4fc-f363-478e-8f4d-ae929539391d · outbound

This paper cites Super-human multi-talker speech recognition: A graphical modeling approach,.

30+ Years of Source Separation Research: Achievements and Future Challenges Super-human multi-talker speech recognition: A graphical modeling approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.439461Z

Source-reported events for the cited work

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Observation 2753a449-e8f2-4ca0-ba59-26d8a7b9fe22 · outbound

This paper cites Learning the parts of objects by non -negative matrix factorization,.

30+ Years of Source Separation Research: Achievements and Future Challenges Learning the parts of objects by non -negative matrix factorization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.412509Z

Source-reported events for the cited work

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Observation 94145aba-f63d-48ef-b542-6a25b3864ffa · outbound

This paper cites Monaural sound source separation by nonn egative matrix factorization with temporal continuity and sparseness cri teria,.

30+ Years of Source Separation Research: Achievements and Future Challenges Monaural sound source separation by nonn egative matrix factorization with temporal continuity and sparseness cri teria,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.385675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f2631f78-37eb-4121-9956-db6b222b9b95 · outbound

This paper cites Repeating pattern extraction tec hnique (REPET): A simple method for music/voice separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Repeating pattern extraction tec hnique (REPET): A simple method for music/voice separation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.356113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e219f9ae-9568-4e33-9c57-af9ed6c8cb4a · outbound

This paper cites Harmonic/percussive separation usin g median ﬁltering,.

30+ Years of Source Separation Research: Achievements and Future Challenges Harmonic/percussive separation usin g median ﬁltering,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.317299Z

Source-reported events for the cited work

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Observation 0eb9cbe0-aa9d-4f1f-a86f-096f52091aff · outbound

This paper cites Score-informed source separation for musical audio recordings: An overview,.

30+ Years of Source Separation Research: Achievements and Future Challenges Score-informed source separation for musical audio recordings: An overview,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.295069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f53f793f-8c42-4806-9930-2695a49a0ae7 · outbound

This paper cites Supervised speech separation base d on deep learning: An overview,.

30+ Years of Source Separation Research: Achievements and Future Challenges Supervised speech separation base d on deep learning: An overview,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.267799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7df161d0-d8b0-4a47-b091-32ceceb6b11f · outbound

This paper cites Towards scaling up classiﬁcation- based speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Towards scaling up classiﬁcation- based speech separation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.235572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a6b33ab-d4bf-41a9-85c2-7c68be34e03a · outbound

This paper cites Deep clustering: Discriminative embeddings for segmentation and separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Deep clustering: Discriminative embeddings for segmentation and separation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.205350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2ed86da-3ade-4df9-835b-f35bc244c597 · outbound

This paper cites Permutation invariant training of deep models f or speaker- independent multi-talker speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Permutation invariant training of deep models f or speaker- independent multi-talker speech separation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.180067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c486004b-1015-4a9c-ae70-7314f0fae981 · outbound

This paper cites Looking to listen at the cocktail party: A speaker- independent audio-visual model for speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Looking to listen at the cocktail party: A speaker- independent audio-visual model for speech separation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.149829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a099e560-6591-4477-b7e3-c360e627c342 · outbound

This paper cites Neural target speech extraction: An overview,.

30+ Years of Source Separation Research: Achievements and Future Challenges Neural target speech extraction: An overview,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.128106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9f8e8b02-f88b-4bab-8ea7-cec8466bf859 · outbound

This paper cites Combining spectral and spatial features for deep learning based blind speaker separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Combining spectral and spatial features for deep learning based blind speaker separation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.108759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 874996ce-c04b-4bac-8a24-79ba78cc79fd · outbound

This paper cites Multi-microphone complex spectral mapping for utterance-wise and continuous speaker separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Multi-microphone complex spectral mapping for utterance-wise and continuous speaker separation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.089799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e24a7b3-8750-4a48-bc06-7d13ca64460c · outbound

This paper cites Multichannel speech enhancement by raw waveform- mapping using fully convolutional networks,.

30+ Years of Source Separation Research: Achievements and Future Challenges Multichannel speech enhancement by raw waveform- mapping using fully convolutional networks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.071381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e39efb3-ef47-41a8-8df4-fd79aa8ea8dd · outbound

This paper cites End-to-end microphone permutation and number invariant multi-channel speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges End-to-end microphone permutation and number invariant multi-channel speech separation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.050974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ac4c7b74-397f-458e-96f3-1e712809b84b · outbound

This paper cites V arArray: Array-geometry-agnostic continuous speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges V arArray: Array-geometry-agnostic continuous speech separation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.032456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 477dd498-bf7e-4af1-ac6c-1c8038f3b0d4 · outbound

This paper cites Complex ratio masking for monaural speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Complex ratio masking for monaural speech separation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:54.014542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81b916d1-8c46-471d-b7c6-7432bd5976fc · outbound

This paper cites Learning complex spectral mapping w ith gated convolutional recurrent networks for monaural speech enha ncement,.

30+ Years of Source Separation Research: Achievements and Future Challenges Learning complex spectral mapping w ith gated convolutional recurrent networks for monaural speech enha ncement,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.994295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c6017619-e7d5-421c-9cb0-495c46c6357a · outbound

This paper cites Conv-TasNet: Surpassing idea l time- frequency magnitude masking for speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Conv-TasNet: Surpassing idea l time- frequency magnitude masking for speech separation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.974206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 30e49639-ee23-4af7-bad0-4a3e9ac62bbe · outbound

This paper cites Wave-U-Net: A multi-scale neural network for end- to-end audio source separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Wave-U-Net: A multi-scale neural network for end- to-end audio source separation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.953379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd705e1d-bf57-43bd-a5d1-550bbcd22880 · outbound

This paper cites Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks,.

30+ Years of Source Separation Research: Achievements and Future Challenges Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.929366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea7f86c7-957a-4b72-9a31-cca924154a9e · outbound

This paper cites Attention is all you need in speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Attention is all you need in speech separation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.906821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d2f9ac8-4003-4052-be70-71448f8fdc24 · outbound

This paper cites A convolutional recurrent neural ne twork for real-time speech enhancement,.

30+ Years of Source Separation Research: Achievements and Future Challenges A convolutional recurrent neural ne twork for real-time speech enhancement,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.881010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dea70449-65bb-4c54-8acb-41b45362063d · outbound

This paper cites Dual-path RNN: Efﬁcient long sequence modeling for time-domain single-channel speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Dual-path RNN: Efﬁcient long sequence modeling for time-domain single-channel speech separation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.858639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1e8b9737-6bc2-4c5e-9ea8-413b8c944021 · outbound

This paper cites TF-GridNet: Integrating full- and sub-band modeling for speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges TF-GridNet: Integrating full- and sub-band modeling for speech separation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.834240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5a5b230-3063-4c69-97c1-e420ed59c9ff · outbound

This paper cites Open-Unmix - a reference implementation for music source separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Open-Unmix - a reference implementation for music source separation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.814823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 72863f4c-2c16-4874-b67f-f6fb01d49f3f · outbound

This paper cites Improving music source separation based on deep neural networks through data augmentation and network blen ding,.

30+ Years of Source Separation Research: Achievements and Future Challenges Improving music source separation based on deep neural networks through data augmentation and network blen ding,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.797931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d98f4d8-211c-4c0b-9366-936877e57b8b · outbound

This paper cites MMDenseLSTM: An efﬁcient combination of convolutional and recurrent neural networks for audio sour ce separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges MMDenseLSTM: An efﬁcient combination of convolutional and recurrent neural networks for audio sour ce separation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.780138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a53be92-6ad7-4400-912c-fecc086d071f · outbound

This paper cites Hybrid Spectrogram and Waveform Source Separation.

30+ Years of Source Separation Research: Achievements and Future Challenges Hybrid Spectrogram and Waveform Source Separation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T17:51:52.890056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88f77e65-e69e-428e-b090-ab3d90ac9792 · outbound

This paper cites The whole is greater than the sum of its parts: improving music source separation by bridging networks,.

30+ Years of Source Separation Research: Achievements and Future Challenges The whole is greater than the sum of its parts: improving music source separation by bridging networks,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.761596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b38bd0c-f205-4a5b-92cf-f6e2b2c0431d · outbound

This paper cites Universal sound separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Universal sound separation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.741161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a0705308-dc95-496f-aaa1-520f58474d89 · outbound

This paper cites Unsupervised sound separation using mixture invari- ant training,.

30+ Years of Source Separation Research: Achievements and Future Challenges Unsupervised sound separation using mixture invari- ant training,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.720170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1553b634-de30-4867-9df8-8f1f14e1e536 · outbound

This paper cites Listen to what you want: Neural network-based universal sound selector,.

30+ Years of Source Separation Research: Achievements and Future Challenges Listen to what you want: Neural network-based universal sound selector,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.700326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 58d365df-2a64-498a-9c5d-1197f4deb979 · outbound

This paper cites Separate Anything You Describe.

30+ Years of Source Separation Research: Achievements and Future Challenges Separate Anything You Describe

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T17:51:52.922921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a55814b2-71e5-4ee8-8a7e-58545c84b0a3 · outbound

This paper cites BLSTM supported GEV beamformer front-end for the 3rd CHiME challenge,.

30+ Years of Source Separation Research: Achievements and Future Challenges BLSTM supported GEV beamformer front-end for the 3rd CHiME challenge,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.680322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cbfd5697-2912-460b-90e9-c531cbf8a6ee · outbound

This paper cites Integrating DNN-based and spatial clustering-based mask estimation for robust MVDR beamforming,.

30+ Years of Source Separation Research: Achievements and Future Challenges Integrating DNN-based and spatial clustering-based mask estimation for robust MVDR beamforming,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.661628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 26f46108-11ff-42e6-a1b9-151a4ff42ef4 · outbound

This paper cites Unsupervised training of a deep clustering model for multichannel blind source separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Unsupervised training of a deep clustering model for multichannel blind source separation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.638595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f85a847-fec3-4abd-9fed-868d59641a70 · outbound

This paper cites Unsupervised deep clustering for source separation: Di- rect learning from mixtures using spatial information,.

30+ Years of Source Separation Research: Achievements and Future Challenges Unsupervised deep clustering for source separation: Di- rect learning from mixtures using spatial information,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.620268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f7fa44b1-c423-4130-9620-8988c46bd82d · outbound

This paper cites The 2018 signal separation evaluation campaign,.

30+ Years of Source Separation Research: Achievements and Future Challenges The 2018 signal separation evaluation campaign,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.600309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 15a823a0-b7b4-433e-ae94-17b7bbb1d191 · outbound

This paper cites The signal separation evaluation campaign (2007–2010): Achievements and remaining challenges,.

30+ Years of Source Separation Research: Achievements and Future Challenges The signal separation evaluation campaign (2007–2010): Achievements and remaining challenges,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.580688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cab50df2-1a82-4c3c-bb2f-23044af1553d · outbound

This paper cites Music demixing challenge 2021,.

30+ Years of Source Separation Research: Achievements and Future Challenges Music demixing challenge 2021,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.560698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b091117d-d21e-4b9c-a14a-35d84b1dacf9 · outbound

This paper cites The sound demixing challenge 2023 - music demixing track,.

30+ Years of Source Separation Research: Achievements and Future Challenges The sound demixing challenge 2023 - music demixing track,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.537797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e701f0e2-90b8-49e7-b017-1a375d8fd9a4 · outbound

This paper cites The sound demixing challenge 2023 - cinematic demixing track,.

30+ Years of Source Separation Research: Achievements and Future Challenges The sound demixing challenge 2023 - cinematic demixing track,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.517683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 900da6b7-d28f-4b5b-bc33-66d83d4c3661 · outbound

This paper cites Performance measurement in blind audio source separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Performance measurement in blind audio source separation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.500491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7c9e00a7-a2af-4c59-b8bd-4a8d6826afba · outbound

This paper cites SDR – half-baked or well done?.

30+ Years of Source Separation Research: Achievements and Future Challenges SDR – half-baked or well done?

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.483065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec0947ee-df80-46e2-bfe6-6e0ce47e018a · outbound

This paper cites An algorithm for intelligibility prediction of time- frequency weighted noisy speech,.

30+ Years of Source Separation Research: Achievements and Future Challenges An algorithm for intelligibility prediction of time- frequency weighted noisy speech,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.463601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8911d7ab-2b1b-4f93-a8f7-d3d845f28d5e · outbound

This paper cites Perceptual evaluation of speech quality (PESQ) the new ITU standard for end-to- end speech quality assessment part I–time-delay compensat ion,.

30+ Years of Source Separation Research: Achievements and Future Challenges Perceptual evaluation of speech quality (PESQ) the new ITU standard for end-to- end speech quality assessment part I–time-delay compensat ion,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.438282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cad73918-1615-43b2-94aa-035243073367 · outbound

This paper cites WHAMR!: Noisy and reverberant single-channel speech separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges WHAMR!: Noisy and reverberant single-channel speech separation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.414305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a1bfd48-365e-4c1f-a900-2edd009a2537 · outbound

This paper cites LibriMix: An Open-Source Dataset for Generalizable Speech Separation.

30+ Years of Source Separation Research: Achievements and Future Challenges LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T17:51:53.013194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e25f105c-4117-4733-b6bc-a3f5676b2fdc · outbound

This paper cites SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition.

30+ Years of Source Separation Research: Achievements and Future Challenges SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T17:51:53.019538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe12bfa5-e5d8-4483-8a39-cbb04f71a101 · outbound

This paper cites EARS: An anechoic fullband speech dataset bench- marked for speech enhancement and dereverberation,.

30+ Years of Source Separation Research: Achievements and Future Challenges EARS: An anechoic fullband speech dataset bench- marked for speech enhancement and dereverberation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.393416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 74024d6d-b2f1-4e0f-9a4d-a171a668c25c · outbound

This paper cites Pyroomacoustics: A python package for audio room simulation and array processing algorithms,.

30+ Years of Source Separation Research: Achievements and Future Challenges Pyroomacoustics: A python package for audio room simulation and array processing algorithms,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.372409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33d989e3-497a-4992-a631-d3d8d144280c · outbound

This paper cites gpuRIR: A python library for room impulse response simulation with GPU acceleration,.

30+ Years of Source Separation Research: Achievements and Future Challenges gpuRIR: A python library for room impulse response simulation with GPU acceleration,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.346220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 21195f03-72c3-44a7-a060-43a53971768f · outbound

This paper cites Asteroid: the PyTorch-based audio source separation toolkit for researchers,.

30+ Years of Source Separation Research: Achievements and Future Challenges Asteroid: the PyTorch-based audio source separation toolkit for researchers,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.321158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation caf48618-1b9a-4b1b-9c70-1dc3ae280187 · outbound

This paper cites ESPnet-SE: End-to-end speech enhancement and separatio n toolkit designed for asr integration,.

30+ Years of Source Separation Research: Achievements and Future Challenges ESPnet-SE: End-to-end speech enhancement and separatio n toolkit designed for asr integration,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.298272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 480d7ec3-937f-4f7a-90a0-2d9648be5cf4 · outbound

This paper cites Investigating self-supervised learning for speech enhancement and separation,.

30+ Years of Source Separation Research: Achievements and Future Challenges Investigating self-supervised learning for speech enhancement and separation,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.277055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7df739e2-233b-424d-8766-5d59db89cd14 · outbound

This paper cites SuperM2M: Supervised and Mixture-to-Mixture Co-Learning for Speech Enhancement and Noise-Robust ASR.

30+ Years of Source Separation Research: Achievements and Future Challenges SuperM2M: Supervised and Mixture-to-Mixture Co-Learning for Speech Enhancement and Noise-Robust ASR

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T17:51:53.068625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f127979e-44a2-4a3d-a191-239405d12db1 · outbound

This paper cites Diffusion-based generative speech source separa- tion,.

30+ Years of Source Separation Research: Achievements and Future Challenges Diffusion-based generative speech source separa- tion,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:51:53.254343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers