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Paper Citation Record · LEDGER

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2505.19476.

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

pith.paper-citation-record.v1
2505.19476 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:27.425864Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:22.773602Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:07:46.554247Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72f0b7ad-39c2-4fee-8365-6f90721b9f18 · outbound

This paper cites While traditional deterministic methods can attenuate noise, they often struggle to preserve speech naturalness under challenging conditions.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching While traditional deterministic methods can attenuate noise, they often struggle to preserve speech naturalness under challenging conditions

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:31.727552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:22.616326Z digest=sha256:1697a167eb938a6ad3622e71fbd6d257a89b88f8a5bb6ef218a747b883edc6ef

Observation d3c57126-7014-42bc-bd8b-c6ad76c16477 · outbound

This paper cites FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching

Reference 2

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no resolver link, observed 2026-08-07T14:18:22.773602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:22.773602Z digest=sha256:8172510b63486022b4bc2b6a2ea13d6df8c51dc1cfe270c1a0ed5951b3f07e38

Observation c54903ab-cd38-4140-a1dd-cb600ee18c8c · outbound

This paper cites an unresolved cited work.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-07T14:18:31.380858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:22.867091Z digest=sha256:11820da241b256cc1d7e33123375a795fdceca8bdf0fa707a71bd6baf259f719

Observation b24cb30b-0885-4c31-a478-a6dd0cde626b · outbound

This paper cites an unresolved cited work.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Unresolved cited work

Reference 4

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verified exact
raw_fallback, observed 2026-08-07T14:18:27.788680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:23.032110Z digest=sha256:6fc439c889e832934e7b210a62fb947060f5e4dfbc6c42713a32a48031d0e2b4

Observation e6d835f3-bc02-400a-8745-343049d7a156 · outbound

This paper cites FlowSE efficiently reconstructs high-quality speech while preserving speaker characteristics, achieving state-of-the-art performance.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching FlowSE efficiently reconstructs high-quality speech while preserving speaker characteristics, achieving state-of-the-art performance

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:31.071123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:23.133661Z digest=sha256:653cb81dbfd118833bf1f2125686cf37b6096358a9b792fb914b3c00c8756e3c

Observation 9ffffae6-8ab1-4c07-a29f-6c74a456897f · outbound

This paper cites Selm: Speech enhancement using discrete tokens and language models,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Selm: Speech enhancement using discrete tokens and language models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:30.840498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:23.265036Z digest=sha256:49237e70f2c9a8cb82e5ce2d30217eab56b659c487d4bc630bb436cb763ccf64

Observation 9779de21-5c3f-4fac-b15c-a4a13eee7079 · outbound

This paper cites MaskSR: Masked Language Model for Full-band Speech Restoration.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching MaskSR: Masked Language Model for Full-band Speech Restoration

Reference 7

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unresolved
no resolver link, observed 2026-08-07T14:18:23.335398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:23.335398Z digest=sha256:fc55d8ffcad89b1d0084f503fdf96aefe91ba21673b4453a88b8aea9473bf5fc

Observation 8576a88e-b602-4b15-b470-bc5ea21e5d57 · outbound

This paper cites Neural discrete represen- tation learning,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Neural discrete represen- tation learning,

Reference 8

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unresolved
no resolver link, observed 2026-08-07T14:18:23.481815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:23.481815Z digest=sha256:5073562ee262bd810e1241f40aa6ad2f8e9424a80a6f8983d773ed2d032c2a1b

Observation e5f113c1-d76b-403b-9bfc-7a476c7fd1ef · outbound

This paper cites Soundstream: An end-to-end neural audio codec,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Soundstream: An end-to-end neural audio codec,

Reference 9

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no resolver link, observed 2026-08-07T14:18:23.544542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:23.544542Z digest=sha256:46e21fac9580a25249d1541d2a298101c08b4e9c4d0630661a6a139d25914461

Observation 92165fc9-2425-4121-8aa9-3ab060f6b295 · outbound

This paper cites High Fidelity Neural Audio Compression.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching High Fidelity Neural Audio Compression

Reference 10

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no resolver link, observed 2026-08-07T14:18:23.671668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:23.671668Z digest=sha256:64881a85169cbadb5d5cc50fecc8a82dc70b66211587e899703e2040bd19598e

Observation 8abacfba-94ed-4e49-83f4-2651a89b2c49 · outbound

This paper cites Conditional diffusion probabilistic model for speech en- hancement,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Conditional diffusion probabilistic model for speech en- hancement,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:30.608370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:23.764142Z digest=sha256:e30af12e6f0f6b9b5ce08626ae9d4635171d99e474ca0891eca8aad392990be8

Observation 11337c80-67ae-46e7-9bff-f5351cc5c7fb · outbound

This paper cites Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain

Reference 12

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unresolved
no resolver link, observed 2026-08-07T14:18:23.918183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:23.918183Z digest=sha256:0165dd60f029b9c865277194fd22cbdccf509beabdc4cfdba8ef26e3870acd17

Observation e2e27ef2-878e-4ef5-bbd7-71b08b55e08e · outbound

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

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Storm: A diffusion-based stochastic regeneration model for speech en- hancement and dereverberation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:30.329126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:24.057227Z digest=sha256:b900ab9b225ef350143b0c9fff1dc3277220d252385800b2313996c65c988f77

Observation 3b581676-f7b3-422d-9ac8-0478704123e1 · outbound

This paper cites Flow matching for generative modeling,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Flow matching for generative modeling,

Reference 14

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no resolver link, observed 2026-08-07T14:18:24.177611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:24.177611Z digest=sha256:201529f43996e7328554de1fad7f443805da5c9ff3338017fff79cac57585857

Observation 2e2c3ca4-f4e5-419b-9004-c7970e3bf3c0 · outbound

This paper cites Flowsep: Language-queried sound separation with rectified flow matching,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Flowsep: Language-queried sound separation with rectified flow matching,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:29.747269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:25.155639Z digest=sha256:f90205efea39a0fef7ba61f489a2d2ca5ccb94460ca347e39573e97dfe8f7d37

Observation 7612924a-f519-408b-b576-cd57f592e10c · outbound

This paper cites Matcha-tts: A fast tts architecture with conditional flow match- ing,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Matcha-tts: A fast tts architecture with conditional flow match- ing,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:24.466351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:24.466351Z digest=sha256:1bd092acc86efefdf1125336f9a1a0228175b5ffae3a989ebad5de0d98e6ac7f

Observation 6e70ccb8-1bb4-47ef-b218-2ea519e1effd · outbound

This paper cites E2 tts: Embarrassingly easy fully non-autoregressive zero-shot tts,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching E2 tts: Embarrassingly easy fully non-autoregressive zero-shot tts,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:30.087332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:24.585946Z digest=sha256:fba497e3dd5bbd6017a4c079a813836215429de17690adca830bd0f3a034dda2

Observation c62cbeb1-29f2-4ecf-987d-6723bb48b6c8 · outbound

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

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

Reference 18

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no resolver link, observed 2026-08-07T14:18:24.707447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:24.707447Z digest=sha256:56a6f01a942a86f6d576d70c64b9c2f53fa3be707bce05d3720f8d3c60097d1e

Observation 30c3a814-3c14-40ef-9197-60fd65959c2b · outbound

This paper cites A flow-based deep latent variable model for speech spectrogram modeling and en- hancement,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching A flow-based deep latent variable model for speech spectrogram modeling and en- hancement,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:29.906664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:24.844417Z digest=sha256:8cc7c43b1c42f360e7f927003bceb9b3c2f2e0d1debb1a7204999d8b9dd72d45

Observation 1b40d9f1-7816-4d80-ae9e-fe67e7215438 · outbound

This paper cites FlowAVSE: Efficient Audio-Visual Speech Enhancement with Conditional Flow Matching.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching FlowAVSE: Efficient Audio-Visual Speech Enhancement with Conditional Flow Matching

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:24.979857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:24.979857Z digest=sha256:cbbcefa5f37ddc2b08edf22200c2468bb9c1fbf99d2c29ccee77a4b1216a59ae

Observation 7f51340c-aae7-45a7-b231-772936fadadd · outbound

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

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Speech enhancement and dereverberation with diffusion-based generative models,

Reference 21

Resolution
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no resolver link, observed 2026-08-07T14:18:25.976981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:25.976981Z digest=sha256:7f8b5552e391f610bf07e33dc76ec1421f11be2aec9b8a98a6dc938cf3f88485

Observation 394a827d-e211-4f3c-864c-8bce7fc820e7 · outbound

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

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:25.225733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:25.225733Z digest=sha256:dd09699e89a7a128c6a18554f7537e4a8bbeffb91e060e393e0674ad2510d196

Observation 47e6dddf-8934-4a41-825c-19793f342a5d · outbound

This paper cites Real Time Speech Enhancement in the Waveform Domain.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Real Time Speech Enhancement in the Waveform Domain

Reference 23

Resolution
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no resolver link, observed 2026-08-07T14:18:25.378067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:25.378067Z digest=sha256:fe16dad6b78eb2248cb1691ab3386a63ddf8f9432ea267a767e47c486f7a7bc9

Observation 8d1a4cc2-6bef-4432-9685-8d3b892426f9 · outbound

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

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:25.596410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:25.596410Z digest=sha256:5ab5040c487a9a068517cdb357d5edc479a3837526839de13a79d2b11068167e

Observation a41521d1-e99b-4b1d-ab40-73476d6a7e96 · outbound

This paper cites Cp-gan: Context pyra- mid generative adversarial network for speech enhancement,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Cp-gan: Context pyra- mid generative adversarial network for speech enhancement,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:29.589930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:25.731141Z digest=sha256:8016b028118a0686354b8e04a4c278a7fc96a5027581b54520d48952145b2301

Observation 60a50299-9a8a-4651-af59-072face088fe · outbound

This paper cites A multi-resolution approach to gan-based speech enhancement,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching A multi-resolution approach to gan-based speech enhancement,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:29.417784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:25.871126Z digest=sha256:1e7dbeba165a8dd75d6e4f4ac730a097c643344d700795f0d6c9835280968311

Observation a5a9d663-3403-4dd3-8fdf-bac8d6088675 · outbound

This paper cites The voice bank corpus: De- sign, collection and data analysis of a large regional accent speech database,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching The voice bank corpus: De- sign, collection and data analysis of a large regional accent speech database,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:28.805648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:26.743583Z digest=sha256:1e4731ae8d8f34d0ccc9f7c9361fb227a9553535704f97edb4c7a84b57fdb28b

Observation b7716fbd-9f20-489c-9ac5-acb61f4a2669 · outbound

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

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Scalable diffusion models with transform- ers,

Reference 28

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no resolver link, observed 2026-08-07T14:18:26.080047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:26.080047Z digest=sha256:a7fcd94bf9882c17e60b8549924fc0881a6deb79958d41bffd1167755d783649

Observation d35f41a3-464e-4842-b976-c54aa9b8cf8e · outbound

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

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Reference 29

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no resolver link, observed 2026-08-07T14:18:26.198033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:26.198033Z digest=sha256:82d46d86d81e60ab82e6488c467eeef0732f78278809d0a453726f33b803a690

Observation 19438aab-9d1a-45a9-81ef-0bfca388140b · outbound

This paper cites BigVGAN: A Universal Neural Vocoder with Large-Scale Training.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:26.333141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:26.333141Z digest=sha256:e5ba99d603c80cce072e9e2d2bd583119ec835e0ba435fc29ffb24983723a30e

Observation 75a9bc4e-dc8d-403e-a0ce-6aa7a96de7ad · outbound

This paper cites Wenet: Production oriented streaming and non- streaming end-to-end speech recognition toolkit,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Wenet: Production oriented streaming and non- streaming end-to-end speech recognition toolkit,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:29.183963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:26.433871Z digest=sha256:d226a0f4a0a9a847380ebc41da1783a36d1a5c3ce14c049d4fcf730efd65fa59

Observation b7098ac5-aeef-46eb-b7c6-b7d2cb0ec865 · outbound

This paper cites GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:28.977473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:26.597635Z digest=sha256:7afdd346385175414486f34964ffd987b38feea3b91b105c9fd3bd1365ee1e17

Observation 2a992e7d-b8ed-4b16-8e68-5ab5504f5a5d · outbound

This paper cites Wespeaker: A research and production oriented speaker embedding learning toolkit,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Wespeaker: A research and production oriented speaker embedding learning toolkit,

Reference 33

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no resolver link, observed 2026-08-07T14:18:27.272199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:27.272199Z digest=sha256:152a09e8335af9b7e8299f9c839736048476baaea9f583c0bd133a4f21f848ea

Observation 830afd48-125b-40b1-80d0-1600c9547c81 · outbound

This paper cites The INTERSPEECH 2020 Deep Noise Sup- pression Challenge: Datasets, Subjective Testing Framework, and Challenge Results,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching The INTERSPEECH 2020 Deep Noise Sup- pression Challenge: Datasets, Subjective Testing Framework, and Challenge Results,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:28.539941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:26.816724Z digest=sha256:ab54d29f203bb486d40aa90dd4a9429271d031fc577f15603cb0e7423f82152e

Observation 4bfe0a7c-3067-4849-9cc2-c2aa2baab6ae · outbound

This paper cites WHAM!: Extending Speech Separation to Noisy Environments.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching WHAM!: Extending Speech Separation to Noisy Environments

Reference 35

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no resolver link, observed 2026-08-07T14:18:26.931970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7de8c295-2f52-4973-a35b-3764f1719938 · outbound

This paper cites The diverse environments multi-channel acoustic noise database (demand): A database of multichannel environmental noise recordings,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching The diverse environments multi-channel acoustic noise database (demand): A database of multichannel environmental noise recordings,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:28.267405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 960b5fbd-96b6-4e81-a37a-444f3300a9c5 · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching A study on data augmentation of reverberant speech for robust speech recognition,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:28.021740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:18:27.094071Z digest=sha256:7e5880346a0d9ae1ff71ee1074d7ff28505d6c1875a2e88efba7245698c20016

Observation 82083e53-5fa3-4c13-a1a8-e6e616108ce4 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Robust Speech Recognition via Large-Scale Weak Supervision

Reference 38

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unresolved
no resolver link, observed 2026-08-07T14:18:27.221397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:27.221397Z digest=sha256:8d64d3cb142606c60125ca2c31b658c8abd89c1f727434e80c503b2eaadce366

Observation 59f75783-3c3f-4c29-ae48-aa7df108de50 · outbound

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

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Tf-gridnet: Integrating full-and sub-band modeling for speech separation,

Reference 40

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unresolved
no resolver link, observed 2026-08-07T14:18:27.341710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:27.341710Z digest=sha256:3a4df83e89358bb71f64da32c1ae4eb55f8c89d55f3e18f5516d8b02834d7794

Observation f393ccb9-a549-442a-9dec-5b3a4d976ff7 · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders,.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Convnext v2: Co-designing and scaling convnets with masked autoencoders,

Reference 41

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unresolved
no resolver link, observed 2026-08-07T14:18:27.425864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:27.425864Z digest=sha256:de480021036ed38ee4f49ae9db0475a8a4191f19a254ad0b11002710445a8db2

Observation d8fba3ec-1922-4c7b-8bb4-50e3a420ccc8 · outbound

This paper cites Available: https://openreview.net/forum?id= PqvMRDCJT9t.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching Available: https://openreview.net/forum?id= PqvMRDCJT9t

Reference 2023

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unresolved
no resolver link, observed 2026-08-07T14:18:24.299905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:24.299905Z digest=sha256:1086f3f9778b6ec6ee2896514639fc4aae7ffe0241b3645f24de652d2e370e83

Pith citing papers

Observation d3c57126-7014-42bc-bd8b-c6ad76c16477 · inbound

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching cites this paper.

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching

Reference 2

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unresolved
no resolver link, observed 2026-08-07T14:18:22.773602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:22.773602Z digest=sha256:8172510b63486022b4bc2b6a2ea13d6df8c51dc1cfe270c1a0ed5951b3f07e38

Observation 3da803c5-b39b-4804-abdf-80c69241abce · inbound

UniFlow: Unifying Speech Front-End Tasks via Continuous Generative Modeling cites this paper.

UniFlow: Unifying Speech Front-End Tasks via Continuous Generative Modeling FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:07:46.567077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:07:46.322930Z digest=sha256:4513e60d293f257ee9fd127e25766826ab211facc64f49eaaacecb04723ec6b6

Observation e11eb73e-e443-4743-8752-51a8c564cf2f · inbound

Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis cites this paper.

Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching

Reference 36

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unresolved
no resolver link, observed 2026-07-14T06:37:05.257817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:37:05.257817Z digest=sha256:b836d33e94d3b7617eb49446f724ab8cf57ffb189d3c0dc1f494a7616c9a30d9