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Paper Citation Record · LEDGER

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement

As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2606.17806.

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

pith.paper-citation-record.v1
2606.17806 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T23:05:08.894347Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T23:05:08.894347Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T23:09:00.904043Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 259dec7b-05ee-4cca-acb3-f4c8fcd9a10e · outbound

This paper cites PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement

Reference 1

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local_arxiv, observed 2026-07-03T23:09:00.905894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:8b88038a5ae5e3b7904947c918e0975012d448834f27c46eec9f75c15a5f48b2

Observation 4577b35a-f850-46ad-907d-c850c7f55ba4 · outbound

This paper cites an unresolved cited work.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Unresolved cited work

Reference 2

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:e931a974156387b4d1907a5950b0c33bee41456f60f3776b4b55f01318e989ba

Observation d2e8ad4e-7196-4f04-ac6c-09cebba5c73c · outbound

This paper cites Datasets The clean speech corpus comprises publicly available data from the DNS5 LibriV ox subset [23], VCTK [24], EARS [25], and LibriSpeech [26].

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Datasets The clean speech corpus comprises publicly available data from the DNS5 LibriV ox subset [23], VCTK [24], EARS [25], and LibriSpeech [26]

Reference 3

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:1cda9ce2f19e30ce3618e0149ddcf480873f71c7087e917f32258c979760bee0

Observation fee8362f-f0db-42cf-ad74-8b6147cf5c2e · outbound

This paper cites Our work demonstrates that this approach offers a robust and well-structured alternative to conventional spectral- domain methods.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Our work demonstrates that this approach offers a robust and well-structured alternative to conventional spectral- domain methods

Reference 4

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:387b1972922cbade7bd18177a572780eef985bd582f82d48f9a023d8a622e92c

Observation 94c05127-af73-4338-90fd-5966e3daab26 · outbound

This paper cites 12274221) and the Yangtze River Delta Science and Technology Innovation Community Joint Re- search Project (Grant No.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement 12274221) and the Yangtze River Delta Science and Technology Innovation Community Joint Re- search Project (Grant No

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:1a1b278c90b2d25fe6e55cc10aafc8acb0909c3e92f1c6c2530ea35a38a7da88

Observation 12175251-4ca9-4688-bdfd-0d97930dfae2 · outbound

This paper cites Generative AI was employed exclusively for minor language editing and polishing to enhance clarity and readabil- ity.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Generative AI was employed exclusively for minor language editing and polishing to enhance clarity and readabil- ity

Reference 6

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:943b6cdeff9cf720952471f250a57fea34b4289779958952bf01de48aeab018d

Observation 87cb9647-ebe9-4f9f-9408-ee60b30dd00e · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching,

Reference 7

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:226bec6c04a7cb2d2036a87a36e49b34329eeff717a1361a8d23eeaef486a940

Observation 3c600709-3401-47f8-9701-bf3527d31245 · outbound

This paper cites SenSE: Semantic-Aware High-Fidelity Universal Speech Enhancement.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement SenSE: Semantic-Aware High-Fidelity Universal Speech Enhancement

Reference 8

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local_arxiv, observed 2026-07-03T23:09:00.912655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:ba14bd028ce095826e6dd3dc91818b3903d6676cc9081e992a35b5b4c17f71a2

Observation 7eb99388-ec05-4c9d-95df-610863ce6813 · outbound

This paper cites Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders,

Reference 9

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:0ec1e18ff39b1c22f677f71b903299a1610d72471d5307e7f07769ed7984cc62

Observation f01fc13e-b723-4da6-beca-2b215662cc96 · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Speech enhancement and dereverberation with diffusion-based generative models,

Reference 10

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:167f0d7474b799ca90c0646dbf97885f7cdd56e714ffe1754ebbdc13c954cead

Observation cea15566-4cdb-4f05-b468-0a9c24e61bef · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Storm: A diffusion-based stochastic regeneration model for speech en- hancement and dereverberation,

Reference 11

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:dd948d511dfd1acbbb21c3baa51f7fd7920d97cd4c203204fad9c977f4d0bf0f

Observation 62033308-71f4-40ab-9f61-695deda6b4d9 · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Selm: Speech enhancement using discrete tokens and language models,

Reference 12

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:95ce052290f3b8d91bf85db77fcb00a78077a23b4909ee4eb4da89379a1e6a66

Observation 01307d61-731b-41f5-95c6-46fc3c0fde9f · outbound

This paper cites Genhancer: High-Fidelity Speech Enhancement via Generative Modeling on Discrete Codec Tokens,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Genhancer: High-Fidelity Speech Enhancement via Generative Modeling on Discrete Codec Tokens,

Reference 13

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:f0fc3f33143e03679bfab9229a27630f662f6af18dd6f6f78314497ab8977866

Observation 07ddf42f-fe45-4414-84ac-cb29c134cc43 · outbound

This paper cites PASE: Leveraging the Phonological Prior of WavLM for Low-Hallucination Generative Speech Enhancement.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement PASE: Leveraging the Phonological Prior of WavLM for Low-Hallucination Generative Speech Enhancement

Reference 14

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verified exact
arxiv_id, observed 2026-08-05T02:51:45.666161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:55d717f8f5b40a1cd16442d30a5c6d400bb6a4d8476e6f65996ba9b5184503de

Observation c144dbde-166a-4ab4-8d2a-28d6f856d7f1 · outbound

This paper cites Rethinking flow and diffusion bridge models for speech enhancement,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Rethinking flow and diffusion bridge models for speech enhancement,

Reference 15

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arxiv_id, observed 2026-07-03T23:09:00.925718Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:bbd5796fcb095f410da3a16bcd5151c4511573978c84826b2df27e61dfe3d982

Observation 7eec4a31-d7a8-40c8-9616-eb3b31a9c6ad · outbound

This paper cites Generative speech foundation model pretraining for high-quality speech extraction and restoration,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Generative speech foundation model pretraining for high-quality speech extraction and restoration,

Reference 16

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:c6b7a6eb2180da0349add476c9620a31d1812bcd0643049ec1296eec68ec0996

Observation 02de860e-0402-4405-a533-0feac0096a62 · outbound

This paper cites Empirical distributions of dft- domain speech coefficients based on estimated speech variances,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Empirical distributions of dft- domain speech coefficients based on estimated speech variances,

Reference 17

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:602c3a23a7c45910c60c154aba00fd3480c409b3d5d355903a1584d181aa24cb

Observation 3353b5e5-4275-45eb-af59-16ed113714b5 · outbound

This paper cites Layer-wise analysis of a self-supervised speech representation model,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Layer-wise analysis of a self-supervised speech representation model,

Reference 18

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:cc56505c8d4e62e9fec01309e772e574a304d3c9ce299b6062665041e23ff511

Observation 0c174b1b-ca10-46a6-b346-ac8560c4b81a · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Investigating self-supervised learning for speech enhancement and separation,

Reference 19

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:f247e50490013ba839312c837baa343ac20cd1c1bc7e2eebe698aa24f0d1fe62

Observation e6978272-4121-4c05-9de6-d4a092c51a06 · outbound

This paper cites Boosting self-supervised embeddings for speech en- hancement,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Boosting self-supervised embeddings for speech en- hancement,

Reference 20

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:bdcbb5c3b6ec8ad05eb7be7f53d41d240878b2d2ab369a57f30d1d5e3b37fbe5

Observation 9d5ff2ab-6bb9-4a1d-bf49-1ad74b033919 · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 21

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:ab93bd35ef2d477f7410fe747d3e995a5ec44bf05e7958ea89d136cf252816ca

Observation 25b02c04-45a1-4815-9e66-d2409a610c3c · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Scalable diffusion models with transform- ers,

Reference 22

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:9eec9ea9a2422aa7568c161eae3e1dfa39db27ce107f5f974b1ea5105ce2ca0c

Observation af39c964-42e2-489c-9f58-45714be7c78a · outbound

This paper cites F5-tts: A fairytaler that fakes fluent and faithful speech with flow matching,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement F5-tts: A fairytaler that fakes fluent and faithful speech with flow matching,

Reference 23

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:8beb69911c3cf2f5cd6014734d3274f60164470c80bf3536c387e3539850a4a0

Observation ac060926-3e34-4452-aac7-60dfc31010b9 · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Back to Basics: Let Denoising Generative Models Denoise

Reference 24

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local_arxiv, observed 2026-07-03T23:09:00.923183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:39ca1c002bf75cb89e19264d62710867387253cb53e6a22a321eb5125eb03888

Observation d3198330-4fbd-4cc6-8afc-792e86e9788b · outbound

This paper cites Flow matching for generative modeling,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Flow matching for generative modeling,

Reference 25

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:119759854bac817a7d2380a056c5bc8b2d5b98b507d780532cedb4405a1ad302

Observation 36c5eea7-1f1d-4987-b0d5-ea62cc4ac12c · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Available: https://openreview.net/forum?id= PqvMRDCJT9t

Reference 26

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:81efc10cc870ba515426549418919f761f51f68bd6d8e1ecc22a3c3f2b9f338f

Observation 8dec23c5-03d7-4633-a10e-3d92de0d2bad · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:09:00.912005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:d03b5b93e8a792c036bfcc763713ca3aee77df0fb987bb0ded4625bef0638841

Observation 6616a914-6e72-4476-83ef-58c4d914daa1 · outbound

This paper cites Wavtokenizer: an efficient acoustic discrete codec tokenizer for audio language modeling,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Wavtokenizer: an efficient acoustic discrete codec tokenizer for audio language modeling,

Reference 28

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:9562960e26bf9b1ffa2b11152f4a1f4ad8cb124036de7f40235157fa7010f5ac

Observation e0efc43b-7d92-46e0-b1b8-17b4d8ec5eb0 · outbound

This paper cites High-fidelity audio compression with improved rvqgan,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement High-fidelity audio compression with improved rvqgan,

Reference 29

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:b1c87af03d75ea6773d35ca578d677ff34ddd065ab2f03ada54812d59eebc019

Observation 1bee1b0e-b621-4dea-9eed-8eb204d79165 · outbound

This paper cites Icassp 2023 deep noise suppression challenge,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Icassp 2023 deep noise suppression challenge,

Reference 30

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:2e41bb5615df2a3adabce40807fa77dd3b95289bb70de105faab1d19f63c9451

Observation 97140995-448b-4c80-8f31-1a818b269d4f · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement The voice bank corpus: De- sign, collection and data analysis of a large regional accent speech database,

Reference 31

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:c3fc14e951bda1295a27df0e2e6a655b118eff903a59c70718d38abccd36ca88

Observation 60215fe5-8cf8-4a7f-8ca4-e17c5685df5c · outbound

This paper cites EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dere- verberation,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dere- verberation,

Reference 32

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:9056845473fc9f63a9d09f2e9f37e24fffebb34372349076383b44e7169d1f77

Observation 1365b103-3fa2-4e4a-9fb2-87e87cdbf947 · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Lib- rispeech: An asr corpus based on public domain audio books,

Reference 33

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:4e05afbc5e4d0f10f8f96df0f9864f49cd3cb41bae61f11345bb7b404e5e62a0

Observation e94d2750-f6e1-42eb-a439-896d90b0b30f · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement WHAM!: Extending speech separation to noisy environments,

Reference 34

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:707ac15c8eaa38aaa04d9e21ed3b1f1f48efaa499c86391153016a447f854c89

Observation 03c0940a-7a67-4a5d-936b-b06a87de4340 · outbound

This paper cites FSD50K: an open dataset of human-labeled sound events,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement FSD50K: an open dataset of human-labeled sound events,

Reference 35

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:03e1f500052875e2890031f83259525e92b8f00e6fe3c2bffa2b13f51969b0f7

Observation 708dd38c-60df-4604-a8a5-a31ad1aea4b6 · outbound

This paper cites FMA: A Dataset For Music Analysis.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement FMA: A Dataset For Music Analysis

Reference 36

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verified exact
local_arxiv, observed 2026-07-03T23:09:00.928538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:e2b347201ad112319122d7d56be9367817219df7832713bdc8cfb39793ee07fd

Observation 3a4bb543-e066-4e09-919a-49d1961f0b0d · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement A study on data augmentation of reverberant speech for robust speech recognition,

Reference 37

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:62a0d4942af368f67911b594f5d06143cdb82803c065662ebb005e25ce9badbf

Observation f6c75420-7f9f-4073-a33b-bfc8270a4773 · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results,

Reference 38

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:0e347d2b395cf9d82fb34a3173b202520d72866f75d9b5d2430d0077ec0b5059

Observation 4b260545-f907-41a2-92dd-a34197d35d45 · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Dnsmos p.835: A non-intrusive perceptual objective speech quality metric to eval- uate noise suppressors,

Reference 39

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:67c127def4136eafd970fb7938390c296478bf18825aa5afb28559a235c9a8b9

Observation 98664676-f6b0-40f1-92d4-43e97790940a · outbound

This paper cites UTMOS: UTokyo-SaruLab System for V oice- MOS Challenge 2022,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement UTMOS: UTokyo-SaruLab System for V oice- MOS Challenge 2022,

Reference 40

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:291d3ee0d2090a08b72ce6be356c726b2bab29a298e7a70c84434edd780456b6

Observation 0a46c703-fb82-428b-b55f-abfdfd608cbc · outbound

This paper cites SpeechBERTScore: Reference-Aware Automatic Evaluation of Speech Generation Leveraging NLP Evaluation Metrics,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement SpeechBERTScore: Reference-Aware Automatic Evaluation of Speech Generation Leveraging NLP Evaluation Metrics,

Reference 41

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:28d905d913818f121d691978277f83c91551b6dd07dbcc901dda0bb06cf76fdc

Observation 1b5b4ae7-cdaa-4fb6-a1a0-65a863a0e608 · outbound

This paper cites mHuBERT-147: A Compact Multilingual HuBERT Model,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement mHuBERT-147: A Compact Multilingual HuBERT Model,

Reference 42

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:f4ee7392d1c8a88ee0e7f87dfb08b21399a358c40433e9e78a0cbacf72b43b50

Observation 72b6552a-2d1a-4b93-ada8-3bc7a5fa41e2 · outbound

This paper cites Evaluation metrics for generative speech en- hancement methods: Issues and perspectives,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Evaluation metrics for generative speech en- hancement methods: Issues and perspectives,

Reference 43

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:d9162e062be717c1fed21a108af578952497f340801353dacbfe2c7310c2e61c

Observation 455794c6-15cf-43dc-bba3-412eafe3a319 · outbound

This paper cites Simple and Effective Zero-shot Cross-lingual Phoneme Recognition,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Simple and Effective Zero-shot Cross-lingual Phoneme Recognition,

Reference 44

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:04e488144bc2a607816c54d3ec248f36f10710a8aec8bd24b695d51d6cab4fcf

Observation d82fda8b-0ae7-4aa4-8271-cf6581724098 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Robust speech recognition via large-scale weak supervision,

Reference 45

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:4feb28a08af7b2ffba3f4b49a184785b5ad2c97e1e94d8516676cdebca386159

Observation 89fe1262-c2ac-41b2-9737-7d2a85f76c9e · outbound

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

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Tf-gridnet: Integrating full- and sub-band modeling for speech separation,

Reference 46

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:dbd9e8899f789a38341115cf9734d7726164ff6d4900291e8555212f66dfb604

Observation 204a1e36-8fbc-47a4-a68c-7aa745e0c694 · outbound

This paper cites LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement

Reference 47

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verified exact
arxiv_id, observed 2026-07-03T23:09:00.925960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:d0d9890b449df7805e188d048162ae90a82b740f8935c6e7714790cedfa936a1

Observation 0aec4b56-5a05-40f4-bd10-1c3346a9d1ce · outbound

This paper cites Anyenhance: A unified generative model with prompt-guidance and self-critic for voice enhancement,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement Anyenhance: A unified generative model with prompt-guidance and self-critic for voice enhancement,

Reference 48

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:d53c9ece644c057fb56799a3ddbb87a2fa3e5fb11216bf92c35700b2aae3d98f

Observation c83168b7-2e0f-46b6-aa60-d63c4f822ffb · outbound

This paper cites A convnet for the 2020s,.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement A convnet for the 2020s,

Reference 49

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source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:2ce72874e205bd8b583eae293e103fb945bf5f54d4602113f41a2bb373aac173

Pith citing papers

Observation 259dec7b-05ee-4cca-acb3-f4c8fcd9a10e · inbound

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement cites this paper.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement

Reference 1

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:8b88038a5ae5e3b7904947c918e0975012d448834f27c46eec9f75c15a5f48b2