Paper Citation Record · LEDGER

EDSep: An Effective Diffusion-Based Method for Speech Source Separation

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2501.15965.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.15965 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:56:41.951155Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:30:05.484429Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact2
verified fuzzy24
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b222c3de-f855-4742-9fe5-0de31f917cda · outbound

This paper cites Tasnet: time-domain audio separation network for real-time, single-channel speech separation,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Tasnet: time-domain audio separation network for real-time, single-channel speech separation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.413412Z

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 d35b795a-1983-44f0-8d00-792ed7a4c6f3 · outbound

This paper cites End-to-end micro- phone permutation and number invariant multi-channel speech separa- tion,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation End-to-end micro- phone permutation and number invariant multi-channel speech separa- tion,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.402110Z

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 b3ebc859-ccc1-4f07-8763-03e59c0f08ec · outbound

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

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Deep clustering: Discriminative embeddings for segmentation and separation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.391418Z

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 1f04ddcc-1b5d-4570-bef2-8c9711409099 · outbound

This paper cites Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.814990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882964f1-c135-49b1-aa5d-e4ad9c65cdff · outbound

This paper cites End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:56:42.080287Z

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 cbcca36b-9b7e-4e1d-8029-7933d966f488 · outbound

This paper cites Deep learning based phase reconstruction for speaker separation: A trigonometric perspective,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Deep learning based phase reconstruction for speaker separation: A trigonometric perspective,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.373770Z

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 2fba6b83-8604-452b-8958-6a0ccafbd637 · outbound

This paper cites Divide and conquer: A deep casa approach to talker-independent monaural speaker separation,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Divide and conquer: A deep casa approach to talker-independent monaural speaker separation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.362206Z

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 30bfaaf0-34d9-4b74-a730-7edf9595cef2 · outbound

This paper cites Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.830091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d1949ab-d28d-4a10-97b8-e825aa4e774d · outbound

This paper cites Wavesplit: End-to-end speech separation by speaker clustering,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Wavesplit: End-to-end speech separation by speaker clustering,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.833792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7ac50a4-1311-4bd0-b108-f8a060e73dc3 · outbound

This paper cites Qdpn-quasi-dual-path network for single- channel speech separation.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Qdpn-quasi-dual-path network for single- channel speech separation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.337490Z

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 328b04b1-418b-4c0d-a972-941f361d4140 · outbound

This paper cites Efficient monaural speech separation with multiscale time-delay sampling,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Efficient monaural speech separation with multiscale time-delay sampling,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.325518Z

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 04eed9e7-1d8d-43f4-afcc-42732a2f5a93 · outbound

This paper cites Sfsrnet: Super-resolution for single-channel audio source separation,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Sfsrnet: Super-resolution for single-channel audio source separation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.314632Z

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 e8c1c8a3-ec03-4f2e-9375-3584a5f0a4dc · outbound

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

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech separation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.303282Z

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 68dd89c5-5d93-4967-930e-be97004c0175 · outbound

This paper cites V oice separation with an unknown number of multiple speakers,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation V oice separation with an unknown number of multiple speakers,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.292255Z

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 b37d2be6-e25b-4589-86dd-71fe5425de49 · outbound

This paper cites Attention is all you need,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Attention is all you need,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.854427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb8e8db2-bbdd-457f-be69-7ab86c7082af · outbound

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

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Attention is all you need in speech separation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.273165Z

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 1413d630-726f-4e61-8d8b-b33312197e09 · outbound

This paper cites Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.861184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b00e14a2-76f3-49b0-a958-7b13802bc643 · outbound

This paper cites Mossformer: Pushing the performance limit of monaural speech separation using gated single-head transformer with convolution-augmented joint self-attentions,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Mossformer: Pushing the performance limit of monaural speech separation using gated single-head transformer with convolution-augmented joint self-attentions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.262094Z

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 178a19fb-37eb-4e71-b077-53d9ea87b1d0 · outbound

This paper cites Generative adversarial networks for single channel separation of convolutive mixed speech signals,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Generative adversarial networks for single channel separation of convolutive mixed speech signals,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.251046Z

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 1e27bf7d-6e05-48ce-b6e0-96c8d514f011 · outbound

This paper cites Speech source separation using variational autoencoder and bandpass filter,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Speech source separation using variational autoencoder and bandpass filter,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.238944Z

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 ef3c1fa1-29c7-4cd2-aa75-54f21900979a · outbound

This paper cites Deep generative modelling: A comparative review of vaes, gans, normalizing flows, energy-based and autoregressive models,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Deep generative modelling: A comparative review of vaes, gans, normalizing flows, energy-based and autoregressive models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.227538Z

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 557204cd-8473-4b8c-9987-5711325bc721 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.878399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 281457e7-350e-4773-b042-cce62bb8da8f · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation High- resolution image synthesis with latent diffusion models,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.882186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12559662-ca79-4514-b251-e5608cd8cf75 · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.885486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1de410cf-65bd-4abf-b41b-209a92ee9d84 · outbound

This paper cites Learn2Sing 2.0: Diffusion and Mutual Information-Based Target Speaker SVS by Learning from Singing Teacher.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Learn2Sing 2.0: Diffusion and Mutual Information-Based Target Speaker SVS by Learning from Singing Teacher

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:56:42.031607Z

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 02981705-1440-46ae-bd7b-9e053d3acbd9 · outbound

This paper cites Diffusion-based generative speech source separation,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Diffusion-based generative speech source separation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.209468Z

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 d02e18f7-14f5-476b-a169-0eb0d5aff3a5 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.896504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4092d22-9509-4059-aecd-13e4262967aa · outbound

This paper cites S ¨arkk¨a and A.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation S ¨arkk¨a and A

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.198909Z

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 e9beedee-51b1-4c7f-88db-1817d206c13e · outbound

This paper cites Reverse-time diffusion equation models,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Reverse-time diffusion equation models,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.903723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 927bd458-44ad-4e11-b7db-58bb8526b3f1 · outbound

This paper cites Elucidating the design space of diffusion-based generative models,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Elucidating the design space of diffusion-based generative models,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.907053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a804e2c-82a9-4717-9a39-beb98e71f651 · outbound

This paper cites Sepdiff: Speech separation based on denoising diffusion model,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Sepdiff: Speech separation based on denoising diffusion model,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.174597Z

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 12dc8e6b-b67b-4f60-89d9-ef9bfeac2b5d · outbound

This paper cites Learning fast samplers for diffusion models by differentiating through sample quality,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Learning fast samplers for diffusion models by differentiating through sample quality,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.162762Z

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 517ed5ac-4d47-4e55-b4c9-5df6d14e4b4c · outbound

This paper cites Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.917195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df60a303-e361-4ef1-b08b-d053c5829fb1 · outbound

This paper cites Gotta Go Fast When Generating Data with Score-Based Models.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Gotta Go Fast When Generating Data with Score-Based Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.920937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59e60dde-59cb-4cf5-a425-be464278e401 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Generative modeling by estimating gradients of the data distribution,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.924771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f8836b4-cb41-406f-8444-f1e6df19433e · outbound

This paper cites Speech enhancement and dereverberation with diffusion-based genera- tive models,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Speech enhancement and dereverberation with diffusion-based genera- tive models,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.928582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d244a002-f4ae-4744-b18d-9c8a425a4996 · outbound

This paper cites Speech enhancement with score-based generative models in the complex STFT domain,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Speech enhancement with score-based generative models in the complex STFT domain,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.137446Z

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 78000297-099f-43f4-b390-bec7800701a4 · outbound

This paper cites Deep audio-visual speech recognition,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Deep audio-visual speech recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.125702Z

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 b4739929-f2e5-421d-a88a-dbf1d5310d78 · outbound

This paper cites VoxCeleb2: Deep Speaker Recognition.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation VoxCeleb2: Deep Speaker Recognition

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:41.940333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37423c6c-4fe0-4dc9-8e4e-4ab248ff1be4 · outbound

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

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Sdr–half-baked or well done?

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.114336Z

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 0515305f-b5d8-4d8b-9d2f-51e32c3d099c · outbound

This paper cites Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.102754Z

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 89043ba9-53e8-49a5-81cf-44cdad391806 · outbound

This paper cites An algorithm for predicting the intelligibility of speech masked by modulated noise maskers,.

EDSep: An Effective Diffusion-Based Method for Speech Source Separation An algorithm for predicting the intelligibility of speech masked by modulated noise maskers,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:42.091480Z

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.

Pith citing papers

Observation 2bfa6b87-2d53-4e89-940e-6e095e68c65c · inbound

DiffAU: Diffusion-Based Ambisonics Upscaling cites this paper.

DiffAU: Diffusion-Based Ambisonics Upscaling EDSep: An Effective Diffusion-Based Method for Speech Source Separation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:05.484429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.