Paper Citation Record · LEDGER

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion

As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2511.01056.

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

pith.paper-citation-record.v1
2511.01056 v3

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:27:32.622659Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:27:30.285078Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2033c47d-d8b4-407a-bf84-b43e0798d82e · outbound

This paper cites WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:30.285078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6327563c-8ea8-4817-9ce9-72857de7159c · outbound

This paper cites Overview The proposed whisper-to-speech (W2S) framework comprises three stages, as illustrated in Fig.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Overview The proposed whisper-to-speech (W2S) framework comprises three stages, as illustrated in Fig

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:30.440254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb93aa6-22ec-457e-958d-9c59077066d8 · outbound

This paper cites an unresolved cited work.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:30.539087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83ea74e0-dfff-4670-89f7-f5e78a4d8f60 · outbound

This paper cites Objective evaluations show consistent gains over whispered inputs and performance approaching that of ground-truth recordings in terms of naturalness (DNSMOS 3.11, UTMOS 2.52vs.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Objective evaluations show consistent gains over whispered inputs and performance approaching that of ground-truth recordings in terms of naturalness (DNSMOS 3.11, UTMOS 2.52vs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:30.633764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93ae1124-b765-4d9a-b87f-b3b786023bad · outbound

This paper cites Attention-Guided Generative Adversarial Network for Whisper to Normal Speech Conversion.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Attention-Guided Generative Adversarial Network for Whisper to Normal Speech Conversion

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:30.742369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 030bb5cc-66fb-4cd9-bbca-eee124b96177 · outbound

This paper cites A novel attention-guided generative ad- versarial network for whisper-to-normal speech conversion,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion A novel attention-guided generative ad- versarial network for whisper-to-normal speech conversion,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:30.877727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a6215b3-b46f-4579-b6ce-c1914bed3cea · outbound

This paper cites End-to-End Whisper to Natural Speech Conversion using Modified Transformer Network.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion End-to-End Whisper to Natural Speech Conversion using Modified Transformer Network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:31.077349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2660c0f7-146d-46da-8c7c-55de5fa4a870 · outbound

This paper cites Gener- ative adversarial networks for whispered to voiced speech con- version: a comparative study,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Gener- ative adversarial networks for whispered to voiced speech con- version: a comparative study,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:31.209083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee10939d-fc61-4a92-bc9e-324173ed39a2 · outbound

This paper cites Maskcyclegan-based whisper to normal speech conversion,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Maskcyclegan-based whisper to normal speech conversion,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:31.302379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e08590eb-faab-4165-879b-1d715e8a37cb · outbound

This paper cites V ocoder-free non-parallel conversion of whispered speech with masked cycle-consistent generative adversarial net- works,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion V ocoder-free non-parallel conversion of whispered speech with masked cycle-consistent generative adversarial net- works,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:31.471258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd4b45c9-b9b1-4ea9-a473-2fb6394a360c · outbound

This paper cites Wesper: Zero-shot and realtime whisper to normal voice conversion for whisper-based speech interac- tions,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Wesper: Zero-shot and realtime whisper to normal voice conversion for whisper-based speech interac- tions,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:31.592935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01832f1e-6f80-4f34-b96a-89feb01029e7 · outbound

This paper cites Distillw2n: A lightweight one-shot whisper to normal voice conversion model using distillation of self- supervised features,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Distillw2n: A lightweight one-shot whisper to normal voice conversion model using distillation of self- supervised features,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:31.640744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a2a0a42-ddca-4696-8201-fbc699ef57aa · outbound

This paper cites Improvement Speaker Similarity for Zero-Shot Any-to-Any Voice Conversion of Whispered and Regular Speech.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Improvement Speaker Similarity for Zero-Shot Any-to-Any Voice Conversion of Whispered and Regular Speech

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:31.662280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 894eef0e-9f7d-48dd-887c-61da2d95b4e9 · outbound

This paper cites Whis- pered speech conversion based on the inversion of mel fre- quency cepstral coefficient features,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Whis- pered speech conversion based on the inversion of mel fre- quency cepstral coefficient features,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:31.799075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31dae4b7-00d6-4f15-b7a9-e23d9e3303e6 · outbound

This paper cites Glottal flow synthesis for whisper-to-speech conversion,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Glottal flow synthesis for whisper-to-speech conversion,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:31.932344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27428f30-a187-4aef-8e21-e3c211174b1b · outbound

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

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Robust speech recognition via large-scale weak supervision,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.088017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 467a1e4a-1c9b-4d7a-86b9-ec7f070fe0ce · outbound

This paper cites Aishell6-whisper: A chinese mandarin audio-visual whisper speech dataset with speech recognition baselines,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Aishell6-whisper: A chinese mandarin audio-visual whisper speech dataset with speech recognition baselines,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.208797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa43ace-e3cb-442d-840a-997ac9e62c34 · outbound

This paper cites Soft-dtw: a differentiable loss function for time-series,.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Soft-dtw: a differentiable loss function for time-series,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.325364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dac97be-17ba-447e-ad96-257d4e781f18 · outbound

This paper cites FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.435469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d8a2234-0ca5-4a03-b47e-b1c4c88de3c2 · outbound

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

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Wespeaker: A research and production oriented speaker embedding learning toolkit,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.459345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea14fc2-563a-4b30-9675-108021d84dff · outbound

This paper cites VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmark.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.487566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3945a79a-ecfe-4eac-8e1c-4e45dd8250e5 · outbound

This paper cites VoxCeleb2: Deep Speaker Recognition.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion VoxCeleb2: Deep Speaker Recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.599880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de3b0585-e9fd-4f91-b6fe-3b758095457c · outbound

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

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.617233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbee1b4-df98-485e-891e-deffc5ba766a · outbound

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

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.620011Z

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Unavailable: canonical work link unavailable.

Observation 1a38ff9c-55ca-4e97-9ee8-0db8bbd969e2 · outbound

This paper cites UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022.

WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T00:27:32.622659Z

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Pith citing papers

Observation 2033c47d-d8b4-407a-bf84-b43e0798d82e · inbound