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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:22.616326Z digest=sha256:071dcccbdc233edff2f511f855a113e3e63ae4d86b72098d922241d4d32b29be

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:a40ee8b19b53d526f79e16b6ee9bc24cbe87411cbbf453eece69345d14e595d4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:22.867091Z digest=sha256:e0702d89f3e332ee7af02dac7365c86a9fcdca60a222261bae2db0f5b09ed5df

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:23.032110Z digest=sha256:2e8c1c1458bda359eb69f840d5354e8f6d062c8c65e54c3e31f361348205f569

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:23.133661Z digest=sha256:46f9a227b06f921cea4060ad64c05f676ad1571cf46a417d1b801573ea6411ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:23.265036Z digest=sha256:99f5957d64c260401bf607fe101fc58f753252b380b52a92309fab105c21bc5b

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=sha256:7edd6adfa3f4492a39af224bfc002606b4ac27cd176d1baa2799f9e061f0d736

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

Resolution
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=sha256:16d18ab39cbba7cd346d4e819898491c3febe91ecee719586a78b5734b7bb293

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=sha256:3e1ec753ebe4d45418089789a67351e871836f3f5c86739ac502a3792350a6db

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=sha256:046db2363de266a8427560efc4879091892da5bf98fd6bd9b472db8759bb9c23

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:23.764142Z digest=sha256:8f7e752784e67e622ba8ff588399cf83d5d5eac25063aa98bbec6af557a2104c

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

Resolution
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=sha256:8d582d5131687e519f535293ba36755ad6589aa0ffa6fe4067a9ecd006e03114

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:24.057227Z digest=sha256:f47339d2cd55dc446f8e9f4372b25f34e5a9491312bcf59159e93feffe9ce4b9

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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unresolved
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=sha256:1056a95ff5fd40437841df529eb69c6b594937700c2f7da319219661491a31bf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:25.155639Z digest=sha256:653a831037eb924085c55f0fa569445961919322214cd15c9ac69a19f6fcf7d5

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:e3bb4765d89b7835a6c2a523956c5fa8952feae1705c27c37733eb4d880c35f9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:24.585946Z digest=sha256:8597600bc70577ec6692c595d338bf215002b20b83c955e5112b410e99ea117d

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

Resolution
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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=sha256:44557d81ad492e3df17d6a66350aca27965c5911e40d5958d9cbb9be38b23afb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:24.844417Z digest=sha256:addcd0d4063d057e886bf5dcc4d652782bd0d0c6ffccca94213674468a566a1a

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:f5c4d98d76252056e2bb25f405f94599d688471f7eea739c01faf342e4c1777e

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
unresolved
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=sha256:3c054fa2b02781c88ead2613058571e0bae5cb8efcb539764bd25a5e83adff6a

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=sha256:7c2e1b4639faf9df78713b555be76f51d5954a6df1e306b0055b693aca06cf1c

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

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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:de7431c077376583c600c86bfc0c57dc443529b3ee38bc74a829e727548d5216

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=sha256:95b38718ebfb3480c53f676dbba80e7da62db48e717ac90d2c526cf9a425a091

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:25.731141Z digest=sha256:ad9b52e79cbe12f3a0d19708ce9519d25c5d97bf33bb7e3ab4efc04b86fba1e6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:25.871126Z digest=sha256:5088f73afa952ca7f3c80982c140a40b5a4a916e75c8d4a9d8c74cea5f41c324

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:26.743583Z digest=sha256:e83e751d7b8c4b3d430328306c1c2ef56b9177ce0fe3889da68134b58d247f99

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=sha256:9b701c04a5809b9ba4175ea2348d423eec56da0590eb20adf0195b2ee70879f8

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=sha256:15d6b13edf98e74fdee793a2a23da9f10375ba69c1ce73db649658363a74df50

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
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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:d67edf70225e7181aeb9166f4d5687fbab76930bdcc4a909cf4b9bc1b7e79bb2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:26.433871Z digest=sha256:bc80b25d8afb66e66a9a1a8deee36a158e7bb217ce638a23c06f228872c4e7fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:26.597635Z digest=sha256:9c56dca97ce2146c6c6363279ddb7f6aa82ce608c1e705155bfdf549fc72b047

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:a16023391f9e268786a534d325e8e1972d581994d5f58dfde2cb1f4738a95374

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:26.816724Z digest=sha256:65132ff57e27a2dec040a4e8ab1994dfa66f87d149364f06c6406b58ce7aae5b

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 2026-08-08T06:32:00.761636+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:27.094071Z digest=sha256:89fcb7008359be90bd93d2e7c150eb2ba408d5bc883e48f3ca1fa37d2d5816cd

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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=sha256:71fc7c98954920db72bde3a2756614c18e64d25e58cc78094ca24d74901fa712

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:bec9d8846a221f8f4913642d7d4309c1895bf4fc938d932b3fe4fce3a4401fa9

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

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source=pdf_text observed=2026-08-07T14:18:22.773602Z digest=sha256:a40ee8b19b53d526f79e16b6ee9bc24cbe87411cbbf453eece69345d14e595d4

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:07:46.322930Z digest=sha256:535348779d6ffadbe08c2ef419d76dcc53f0e6e6970c032a9c025d600123e0d0

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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