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Paper Citation Record · LEDGER

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2506.01032.

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

pith.paper-citation-record.v1
2506.01032 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:27.098917Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:24.413325Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:56:27.602379Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact3
  • verified fuzzy18
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 158cdc83-d220-4cb2-ab56-b8a8d5c7bfab · outbound

This paper cites VC achieves this by decom- posing the source speech into different components, including the speaker’s timbre, linguistic content, and speaking style.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization VC achieves this by decom- posing the source speech into different components, including the speaker’s timbre, linguistic content, and speaking style

Reference 1

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raw_fallback, observed 2026-08-07T11:56:30.692554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:24.323895Z digest=sha256:7d3eb10b300466aecb226f9037f0924e7199fbed46d39454818d70149d94ad27

Observation 69be4a59-e668-404b-a959-0208d6ea4ba8 · outbound

This paper cites ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization

Reference 2

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verified exact
local_arxiv, observed 2026-08-07T11:56:27.654727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:24.413325Z digest=sha256:c5797f1c42b18051e7a6fca47d1fabec6801b1fe87ceeaa8df22911ee180b733

Observation 8763bd55-c397-4e4a-bcbb-0062d7ec033f · outbound

This paper cites Encoder The encoder consists of an average voice encoder, Hubert-Soft [16], a speaker encoder, VQ-V AE, and a feature fusion mod- ule.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Encoder The encoder consists of an average voice encoder, Hubert-Soft [16], a speaker encoder, VQ-V AE, and a feature fusion mod- ule

Reference 3

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raw_fallback, observed 2026-08-07T11:56:30.467818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:24.521096Z digest=sha256:3f8f1237fe375356133067c38bf924c0f2e270e5b3f71e11e4911911b8ab8ba7

Observation b7e91cae-e49c-44a7-ae4c-271eb0f272ee · outbound

This paper cites Experimental Setup 4.1.1.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Experimental Setup 4.1.1

Reference 4

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raw_fallback, observed 2026-08-07T11:56:30.324358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:24.629403Z digest=sha256:794944dbcecb7f8693cb6fccb6f3ca954e2ac1b9fa2f1e3941f5d5cd8310124e

Observation 214678d2-8aab-467c-bd48-621e47d7748f · outbound

This paper cites ReFlow-VC can use the RK45 ODE solver for sampling, generating speech samples with optimal audio quality.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization ReFlow-VC can use the RK45 ODE solver for sampling, generating speech samples with optimal audio quality

Reference 5

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raw_fallback, observed 2026-08-07T11:56:29.973300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:24.842396Z digest=sha256:3fc0b04e4bae841e03d7e8ad41b141ac9058863ebbdf6300bb08186811b5b009

Observation 2c21e631-8391-41b6-87f9-6ff5ca67a700 · outbound

This paper cites an unresolved cited work.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:24.913275Z digest=sha256:93f168cab36010bd13b5bee04bd39180a3903c93f2765e35300e65620cd8d44a

Observation 28da9560-8bcd-4632-8b2f-249b729ee5b5 · outbound

This paper cites Cyclegan-vc: Non-parallel voice conversion using cycle-consistent adversarial networks,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Cyclegan-vc: Non-parallel voice conversion using cycle-consistent adversarial networks,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:25.509024Z digest=sha256:f4abc261a084f6c314d3600e759dad30baaa3a416c158a789dfa1cbf518d001c

Observation 0eb97054-3189-4fd1-9061-82c2693a45dc · outbound

This paper cites Privacy and utility of x-vector based speaker anonymiza- tion,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Privacy and utility of x-vector based speaker anonymiza- tion,

Reference 8

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raw_fallback, observed 2026-08-07T11:56:29.673659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:24.990199Z digest=sha256:8a6bf053ae01ab36cfc0f5bdcbfc6a72bafe81c098909a235a5da27fb0e03310

Observation df061bb7-9505-4c24-8407-c1c6e5f21e89 · outbound

This paper cites Autovc: Zero-shot voice style transfer with only au- toencoder loss,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Autovc: Zero-shot voice style transfer with only au- toencoder loss,

Reference 9

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raw_fallback, observed 2026-08-07T11:56:29.532141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:25.063692Z digest=sha256:b6a162ebca464b0f79831f2644f33c5bdf48389fca6ca5aaf0c5c790d6285a36

Observation 80818db0-09fb-488f-a04c-02b757355f6f · outbound

This paper cites Again-vc: A one-shot voice conversion using activation guidance and adap- tive instance normalization,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Again-vc: A one-shot voice conversion using activation guidance and adap- tive instance normalization,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:25.156702Z digest=sha256:0c4d5fdfc576e040eaad7c26cee670792d4dd3777f6cb910db84ddade5336eb0

Observation e1309a94-e214-4b1d-a623-e2da6f4363b6 · outbound

This paper cites Gemo-clap: Gender-attribute-enhanced contrastive language- audio pretraining for accurate speech emotion recognition,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Gemo-clap: Gender-attribute-enhanced contrastive language- audio pretraining for accurate speech emotion recognition,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:25.265163Z digest=sha256:3f77df4d53e29786d18c68c1c45f9105a6c1d4434c1f3930b4b89041fc2f8ffc

Observation 66734f72-d119-4c2b-beb2-523cbe00f4cf · outbound

This paper cites Ace- vc: Adaptive and controllable voice conversion using explicitly disentangled self-supervised speech representations,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Ace- vc: Adaptive and controllable voice conversion using explicitly disentangled self-supervised speech representations,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:25.340534Z digest=sha256:4d479a64f0d2e7002b8674a4004ddbbdf53ad7856603c525e4448dbbd51849b0

Observation 701efda3-043e-4175-b5f6-48add114b86f · outbound

This paper cites Non-Parallel Voice Conversion with Cyclic Variational Autoencoder.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Non-Parallel Voice Conversion with Cyclic Variational Autoencoder

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:56:27.522823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:25.416182Z digest=sha256:76282661bf492142f835abd83e9a9ad2553048b5f9ab945822b4533a7892dfd2

Observation 40ae660b-ea3c-4806-8810-6cd872c68837 · outbound

This paper cites Dddm-vc: Decoupled denoising diffusion models with disentangled representation and prior mixup for verified robust voice conversion,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Dddm-vc: Decoupled denoising diffusion models with disentangled representation and prior mixup for verified robust voice conversion,

Reference 14

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raw_fallback, observed 2026-08-07T11:56:28.366411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:26.082385Z digest=sha256:897bab5fcef54bc64d973693a7ac8989642d292810f4167dc24c22c401ee0d1e

Observation bb5b6982-d170-4ed8-a8ab-544c7620bf09 · outbound

This paper cites Generative adver- sarial networks,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Generative adver- sarial networks,

Reference 15

Resolution
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raw_fallback, observed 2026-08-07T11:56:28.951288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:25.598126Z digest=sha256:bfbbf306686241126938c08fb385e9a98779fbdab3ed4d6ce56aa281c588cfe9

Observation a96ced03-f733-47c7-a74b-9fee0d0d6d07 · outbound

This paper cites Cyclegan- vc2: Improved cyclegan-based non-parallel voice conversion,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Cyclegan- vc2: Improved cyclegan-based non-parallel voice conversion,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:28.834699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:25.685267Z digest=sha256:5e5d47093a168a1665dbb9ea18b5068671b1da35529ac7724e19cf9135ec131b

Observation 9b49f441-e0fc-47d6-8be7-6755a0ed9354 · outbound

This paper cites Stargan-vc: Non-parallel many-to-many voice conversion using star genera- tive adversarial networks,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Stargan-vc: Non-parallel many-to-many voice conversion using star genera- tive adversarial networks,

Reference 17

Resolution
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raw_fallback, observed 2026-08-07T11:56:28.693746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:25.776761Z digest=sha256:bb17350e32462044c748ea7123490ea506620082afc961a109bede10e3fe116d

Observation 978f9bfe-4495-4704-ab32-ee00eefd0404 · outbound

This paper cites Freevc: Towards high-quality text-free one-shot voice conversion,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Freevc: Towards high-quality text-free one-shot voice conversion,

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:25.869060Z digest=sha256:113d793b84e2ab9f3ec3d99f69373f8244a67ae87fd067392de3c7267df1dfb1

Observation e638bdbd-8655-4859-a950-a8396c317d62 · outbound

This paper cites Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:25.936184Z digest=sha256:e82871c1362095d6f376b558aabdf6a07f872e1b21fe9c9af364c0e402bef913

Observation ee4c4c4e-bc66-4e03-85c4-c51a34b6626a · outbound

This paper cites Reflow-tts: A rectified flow model for high-fidelity text-to- speech,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Reflow-tts: A rectified flow model for high-fidelity text-to- speech,

Reference 20

Resolution
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raw_fallback, observed 2026-08-07T11:56:28.509039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:26.015110Z digest=sha256:d5f6c8471167b6975266c30f933f453b0d46eb59be941851362111a2621ea301

Observation 648d8f50-cf54-4332-bcc3-d15ef3efed28 · outbound

This paper cites Grad-tts: A diffusion probabilistic model for text-to-speech,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Grad-tts: A diffusion probabilistic model for text-to-speech,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:26.685169Z digest=sha256:12194e81f6ab274a1395a43696b5c7cc290174ae9bba76c9c0aafa75832cd3ae

Observation 67d80638-dbdc-4918-9e78-f9346234f4e4 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:26.164721Z digest=sha256:5dfcc8b055465ee158b5704798258e11966878f1d5fa4015d016203b85188715

Observation 4cbd47af-8a34-42eb-b285-8f5ca317a065 · outbound

This paper cites A comparison of discrete and soft speech units for improved voice conversion,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization A comparison of discrete and soft speech units for improved voice conversion,

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T11:56:28.188153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:26.250848Z digest=sha256:56605601901bb2e40616b340a9ccbdd9365f2149d1d581039f53566ece1bb3fe

Observation eeebdec5-02a3-4389-bf12-bc264f94427c · outbound

This paper cites Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Speech Resynthesis from Discrete Disentangled Self-Supervised Representations

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:26.345966Z digest=sha256:0841ca397366f2835893ad39e2590aaffdf3874f5635295b442c5b1dc6464ee3

Observation c3b103a8-05ae-4853-9180-1373feef1466 · outbound

This paper cites ZSVC: Zero-shot Style Voice Conversion with Disentangled Latent Diffusion Models and Adversarial Training.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization ZSVC: Zero-shot Style Voice Conversion with Disentangled Latent Diffusion Models and Adversarial Training

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:26.433423Z digest=sha256:3f28e9dd8136124e0b4af9c622f597fafa28190d967e9777b6da63db408bf258

Observation d100de23-1730-49a4-be1d-62572a48914d · outbound

This paper cites Zero-Shot Voice Conversion via Content-Aware Timbre Ensemble and Conditional Flow Matching.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Zero-Shot Voice Conversion via Content-Aware Timbre Ensemble and Conditional Flow Matching

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:56:27.320718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:26.530413Z digest=sha256:ae325b73acdfb85d49dc24a52ea6866edabe7fdccf3ebf94b12eca3e5dc3fecb

Observation aafa886a-6d5b-453d-a6df-d92b310798d3 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization U-net: Convolutional networks for biomedical image segmentation,

Reference 27

Resolution
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raw_fallback, observed 2026-08-07T11:56:27.997312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:26.592381Z digest=sha256:daf465df3e5c4c1b809cbbddabc47a45e308ca6219400e2709e1dad6142b1a69

Observation 725c1408-5ac8-4947-b6b7-9fed0b823b63 · outbound

This paper cites LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:26.818986Z digest=sha256:4566652293ab99dcf77ab688f7e2830f259560c86db665850848c1e1be314194

Observation 007dcde5-8537-43e9-adf3-a5132140a35c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Adam: A Method for Stochastic Optimization

Reference 30

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unresolved
no resolver link, observed 2026-08-07T11:56:26.905749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:26.905749Z digest=sha256:1349f8a9a56507d17f6906dfa249bcc84cc1fc05b4dd8ef10a92c4fb1181afab

Observation 70ef9325-7ef1-4873-8941-4c56aaa07e6c · outbound

This paper cites Hifi-gan: Generative adversarial net- works for efficient and high fidelity speech synthesis,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Hifi-gan: Generative adversarial net- works for efficient and high fidelity speech synthesis,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:27.003061Z digest=sha256:166945132c75b26e5e80f27a19cefccb8af5562de25e3d2fddd53422bf99f2e7

Observation 76c56840-f1ae-4dd0-97f8-ab290b59047d · outbound

This paper cites Whis- per: Tracing the spatiotemporal process of information diffusion in real time,.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization Whis- per: Tracing the spatiotemporal process of information diffusion in real time,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:27.801674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:27.098917Z digest=sha256:c73b732ab0a7f6e495409c5929af48220deda72c1ed822b56c12b871b36815ae

Observation df16ac5d-54a6-46aa-9e59-cf858949d778 · outbound

This paper cites We used the pre-trained HiFi-GAN [24] as the neural vocoder, which is responsible for converting the mel spectrograms into raw wave- forms.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization We used the pre-trained HiFi-GAN [24] as the neural vocoder, which is responsible for converting the mel spectrograms into raw wave- forms

Reference 256

Resolution
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raw_fallback, observed 2026-08-07T11:56:30.115942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:24.766859Z digest=sha256:166bd136f40dbdd995a002ecbfb58b84b9dba953fbf9d1eb96a1c4bf9c02659b

Pith citing papers

Observation 69be4a59-e668-404b-a959-0208d6ea4ba8 · inbound

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization cites this paper.

ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization

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