Paper Citation Record · LEDGER

FlowTSE: Target Speaker Extraction with Flow Matching

As of 17 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2505.14465.

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

pith.paper-citation-record.v1
2505.14465 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:11.459923Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:06.827583Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:45:19.435188Z

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy20
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69f41c69-aa66-4307-919d-f8bc0c3f52a6 · outbound

This paper cites FlowTSE: Target Speaker Extraction with Flow Matching.

FlowTSE: Target Speaker Extraction with Flow Matching FlowTSE: Target Speaker Extraction with Flow Matching

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:06.827583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 518a4d9a-1812-4ad6-bc2e-2d93607cb62e · outbound

This paper cites SE methods are generally categorized as discriminative or generative.

FlowTSE: Target Speaker Extraction with Flow Matching SE methods are generally categorized as discriminative or generative

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:16.971965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ba22c9b-600f-4567-bc47-1ba3ceba1319 · outbound

This paper cites Our method maintains a simple pipeline that does not rely on external pretrained models besides the vocoder, which converts mel spectrograms into audio.

FlowTSE: Target Speaker Extraction with Flow Matching Our method maintains a simple pipeline that does not rely on external pretrained models besides the vocoder, which converts mel spectrograms into audio

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:16.751190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 896cdbb7-1382-4849-81da-c0a91bcdb952 · outbound

This paper cites Experimental Setup Datasets.

FlowTSE: Target Speaker Extraction with Flow Matching Experimental Setup Datasets

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:37:16.460613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97d9fcab-a15c-45c4-a8e1-94932f192250 · outbound

This paper cites We leverage recent advancements in flow matching to condition our model on the target speaker’s audio.

FlowTSE: Target Speaker Extraction with Flow Matching We leverage recent advancements in flow matching to condition our model on the target speaker’s audio

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:16.258237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ecb5aba0-6aef-4d86-9269-84fbe97b9b2c · outbound

This paper cites wtimit2mix: A cock- tail party mixtures database to study target speaker extraction for normal and whispered speech,.

FlowTSE: Target Speaker Extraction with Flow Matching wtimit2mix: A cock- tail party mixtures database to study target speaker extraction for normal and whispered speech,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:16.074787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a929353c-1d3e-4b41-8d10-f96ed0ae60de · outbound

This paper cites Ddtse: Discriminative diffusion model for target speech extraction,.

FlowTSE: Target Speaker Extraction with Flow Matching Ddtse: Discriminative diffusion model for target speech extraction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:15.910383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c355b67d-53f4-491b-afc8-b77a1bb3dbbd · outbound

This paper cites Target Speaker ASR with Whisper.

FlowTSE: Target Speaker Extraction with Flow Matching Target Speaker ASR with Whisper

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:07.667904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b0b1f73-7306-42f7-8511-666ad68c556b · outbound

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

FlowTSE: Target Speaker Extraction with Flow Matching Supervised speech separation based on deep learning: An overview,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:07.814468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acb0750-94f2-4e87-adf7-fdb16a5598c5 · outbound

This paper cites End- to-end waveform utterance enhancement for direct evaluation metrics optimization by fully convolutional neural networks,.

FlowTSE: Target Speaker Extraction with Flow Matching End- to-end waveform utterance enhancement for direct evaluation metrics optimization by fully convolutional neural networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:15.693897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8b843759-e5ff-4bac-9168-9238a1e56fe8 · outbound

This paper cites Generation-based target speech extraction with speech dis- cretization and vocoder,.

FlowTSE: Target Speaker Extraction with Flow Matching Generation-based target speech extraction with speech dis- cretization and vocoder,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:15.436054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 90e73fff-5718-4b6e-aba0-4497cbaaff4a · outbound

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

FlowTSE: Target Speaker Extraction with Flow Matching Speech enhancement and dereverberation with diffusion-based generative models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:08.236236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01cf691c-ff31-4bc6-a049-fda3fc609c6d · outbound

This paper cites Storm: A diffusion-based stochastic regeneration model for speech en- hancement and dereverberation,.

FlowTSE: Target Speaker Extraction with Flow Matching Storm: A diffusion-based stochastic regeneration model for speech en- hancement and dereverberation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:08.370387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b270a7da-23f8-4c84-9ed9-d1195fa2ec16 · outbound

This paper cites Analysing diffusion-based generative approaches versus discriminative approaches for speech restoration,.

FlowTSE: Target Speaker Extraction with Flow Matching Analysing diffusion-based generative approaches versus discriminative approaches for speech restoration,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:15.183329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f01e56f-a955-414a-b73c-d649922a2b42 · outbound

This paper cites Conditional diffusion probabilistic model for speech enhancement,.

FlowTSE: Target Speaker Extraction with Flow Matching Conditional diffusion probabilistic model for speech enhancement,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:14.937660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96162cac-8a45-4976-b043-ed847663fc3e · outbound

This paper cites TSELM: Target Speaker Extraction using Discrete Tokens and Language Models.

FlowTSE: Target Speaker Extraction with Flow Matching TSELM: Target Speaker Extraction using Discrete Tokens and Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:08.718742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df8b61db-204e-4fd2-b94b-825f583d3405 · outbound

This paper cites Enhancing Intelligibility for Generative Target Speech Extraction via Joint Optimization with Target Speaker ASR.

FlowTSE: Target Speaker Extraction with Flow Matching Enhancing Intelligibility for Generative Target Speech Extraction via Joint Optimization with Target Speaker ASR

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:08.860549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e30e3641-abab-493e-a89c-f71f40a454d8 · outbound

This paper cites Target Speech Extraction with Conditional Diffusion Model.

FlowTSE: Target Speaker Extraction with Flow Matching Target Speech Extraction with Conditional Diffusion Model

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:37:11.931469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b9e7d9e-db97-4f10-870a-f9543d921dcd · outbound

This paper cites Flow Matching for Generative Modeling.

FlowTSE: Target Speaker Extraction with Flow Matching Flow Matching for Generative Modeling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:09.099875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b7aa481-325d-44e0-ad27-e1cf9f2985dc · outbound

This paper cites Guided conditioning with predic- tive network on score-based diffusion model for speech enhance- ment,.

FlowTSE: Target Speaker Extraction with Flow Matching Guided conditioning with predic- tive network on score-based diffusion model for speech enhance- ment,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:14.786016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25102226-6c02-4c11-ad2a-5d0b34580ed6 · outbound

This paper cites VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking.

FlowTSE: Target Speaker Extraction with Flow Matching VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:09.365680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e64a72-212f-4436-b7f0-1b9da974a402 · outbound

This paper cites SpEx+: A Complete Time Domain Speaker Extraction Network.

FlowTSE: Target Speaker Extraction with Flow Matching SpEx+: A Complete Time Domain Speaker Extraction Network

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:09.487247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3045518-e5d9-4e24-b1e7-6bfbecd78b09 · outbound

This paper cites Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis.

FlowTSE: Target Speaker Extraction with Flow Matching Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:09.616746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb9005fb-6fbf-46eb-9ea2-9ecddd157e4a · outbound

This paper cites F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching.

FlowTSE: Target Speaker Extraction with Flow Matching F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:09.751461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79b4be14-1ab5-4079-8ec3-d1018f3a8463 · outbound

This paper cites Scalable diffusion models with transform- ers,.

FlowTSE: Target Speaker Extraction with Flow Matching Scalable diffusion models with transform- ers,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:09.874400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c779261-10f0-48ff-8466-d7fa2ce9e229 · outbound

This paper cites Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,.

FlowTSE: Target Speaker Extraction with Flow Matching Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:14.595175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 528d1f37-bda9-4440-9cfb-0f4b7cec4fe5 · outbound

This paper cites A convnet for the 2020s,.

FlowTSE: Target Speaker Extraction with Flow Matching A convnet for the 2020s,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:14.362096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 630f67cb-d95f-42a8-a620-a8c821c08aa7 · outbound

This paper cites Separate and diffuse: Using a pretrained diffusion model for better source separation,.

FlowTSE: Target Speaker Extraction with Flow Matching Separate and diffuse: Using a pretrained diffusion model for better source separation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:14.086893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3fbafaaf-cc88-47d7-aafa-69af07e55a6f · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books,.

FlowTSE: Target Speaker Extraction with Flow Matching Lib- rispeech: an asr corpus based on public domain audio books,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:10.245812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff68958-d781-493a-aa86-a582031583c8 · outbound

This paper cites Wham!: Extending speech separation to noisy environments,.

FlowTSE: Target Speaker Extraction with Flow Matching Wham!: Extending speech separation to noisy environments,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:10.366497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec3b3f18-def2-404f-a6d0-4e216076aaf7 · outbound

This paper cites Librimix: An open-source dataset for generalizable speech separation,.

FlowTSE: Target Speaker Extraction with Flow Matching Librimix: An open-source dataset for generalizable speech separation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:10.474067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e336c349-c522-4232-ac2e-e460330da162 · outbound

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

FlowTSE: Target Speaker Extraction with Flow Matching Diffusion-based generative speech source separation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:13.750025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c24e3fd2-38f6-43f6-9d8d-1b6e288384da · outbound

This paper cites Dpccn: Densely- connected pyramid complex convolutional network for robust speech separation and extraction,.

FlowTSE: Target Speaker Extraction with Flow Matching Dpccn: Densely- connected pyramid complex convolutional network for robust speech separation and extraction,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:13.474190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9009b72f-b28a-401e-b490-469514c2d27b · outbound

This paper cites Personalized speech enhancement combining band-split rnn and speaker attentive module,.

FlowTSE: Target Speaker Extraction with Flow Matching Personalized speech enhancement combining band-split rnn and speaker attentive module,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:13.216644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17d73f96-4f7c-4b3e-97c1-e0e68d0b14de · outbound

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

FlowTSE: Target Speaker Extraction with Flow Matching Score-Based Generative Modeling through Stochastic Differential Equations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:11.011218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5588fc1f-2901-4527-b603-6bd0d7b28347 · outbound

This paper cites Diffusion-based speech enhancement with a weighted generative-supervised learning loss,.

FlowTSE: Target Speaker Extraction with Flow Matching Diffusion-based speech enhancement with a weighted generative-supervised learning loss,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:12.975161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41e3b8c9-ca5d-42ea-b651-2182f4a7f135 · outbound

This paper cites DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement.

FlowTSE: Target Speaker Extraction with Flow Matching DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:11.184347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3546a637-5d97-43f3-ac1b-3d1c8c978b62 · outbound

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

FlowTSE: Target Speaker Extraction with Flow Matching Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:12.746930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5562600a-ef49-42b2-b8ff-385b5b2fa653 · outbound

This paper cites A short- time objective intelligibility measure for time-frequency weighted noisy speech,.

FlowTSE: Target Speaker Extraction with Flow Matching A short- time objective intelligibility measure for time-frequency weighted noisy speech,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:12.499948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b92ef756-58b1-430e-a6db-e6dfc6c0a9d9 · outbound

This paper cites Dnsmos p. 835: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,.

FlowTSE: Target Speaker Extraction with Flow Matching Dnsmos p. 835: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:37:12.242327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 69f41c69-aa66-4307-919d-f8bc0c3f52a6 · inbound