Paper Citation Record · LEDGER

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data

As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2507.17735.

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

pith.paper-citation-record.v1
2507.17735 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:22:44.288042Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:22:44.084075Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:22:44.403714Z

Reference resolution

51 of 51 outbound references displayed

verified exact2
verified fuzzy40
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3975430-fbed-4576-83e4-01ee1a97a853 · outbound

This paper cites We study the way to convert the non-native (L2) accented speech into a native (L1) accented one.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data We study the way to convert the non-native (L2) accented speech into a native (L1) accented one

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.993831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 56cec82a-4cef-4558-858a-aa341fa715e3 · outbound

This paper cites Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:22:44.408368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61f8d0ff-321b-425a-b5a6-a8cd11151c82 · outbound

This paper cites ours w/ dur. scaling.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data ours w/ dur. scaling

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.981049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 778def70-d107-44d7-8230-baa755612bd5 · outbound

This paper cites an unresolved cited work.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:22:44.968855Z

Source-reported events for the cited work

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Observation 3a35856f-b650-4395-9c0f-15bcb6de2ab6 · outbound

This paper cites ours w/ dur. scal- ing.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data ours w/ dur. scal- ing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.943990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ff670ea-3c23-4794-a7eb-73c1f7daf46f · outbound

This paper cites Sub- jective evaluations on multiple English accents show signifi- cant improvements in speech naturalness, speaker similarity, and accentedness reduction.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Sub- jective evaluations on multiple English accents show signifi- cant improvements in speech naturalness, speaker similarity, and accentedness reduction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.932448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eed5d2f8-abeb-443c-99aa-112b3e1d02e8 · outbound

This paper cites 62401377), Shenzhen Science and Technology Program (Shenzhen Key Laboratory, Grant No.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data 62401377), Shenzhen Science and Technology Program (Shenzhen Key Laboratory, Grant No

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.920651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 276bb0fd-9576-4894-bf77-bb53e2aa1455 · outbound

This paper cites Vevo: Controllable zero-shot voice imitation with self-supervised disentanglement,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Vevo: Controllable zero-shot voice imitation with self-supervised disentanglement,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.827856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32dd395b-2f87-46c1-8d9b-06f443fbcdd2 · outbound

This paper cites Foreign accent conversion in computer assisted pronunciation training,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Foreign accent conversion in computer assisted pronunciation training,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.908223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ddab51d9-aea5-4de6-acf0-616052ac06d9 · outbound

This paper cites Subband based voice conversion.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Subband based voice conversion

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.895245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e685838-fd25-4e6f-a716-4093d3c013e1 · outbound

This paper cites Personalized, cross-lingual tts using phonetic posteriorgrams.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Personalized, cross-lingual tts using phonetic posteriorgrams

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.881327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc20b8c8-8a3d-47cd-9add-d79cbb06b44b · outbound

This paper cites Accent conversion using phonetic posteriorgrams,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Accent conversion using phonetic posteriorgrams,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.868318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff37704f-983d-40b0-91e8-44ea64c958c1 · outbound

This paper cites Foreign accent con- version by synthesizing speech from phonetic posteriorgrams.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Foreign accent con- version by synthesizing speech from phonetic posteriorgrams

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.854211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e8ba706-5070-4157-8be8-d45adc0b54df · outbound

This paper cites Improving Accent Conversion with Reference Encoder and End-To-End Text-To-Speech.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Improving Accent Conversion with Reference Encoder and End-To-End Text-To-Speech

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:22:44.388217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43a07d9b-f74a-45a1-8efd-79845d7c6596 · outbound

This paper cites Accentron: Foreign accent conversion to arbitrary non-native speakers using zero-shot learning,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Accentron: Foreign accent conversion to arbitrary non-native speakers using zero-shot learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.840973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2be67f76-dc96-4d6f-b691-c3a75d9fb357 · outbound

This paper cites Tts-guided train- ing for accent conversion without parallel data,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Tts-guided train- ing for accent conversion without parallel data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.722066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1eff0d85-25f6-4cc0-a252-e7e094b3eba7 · outbound

This paper cites Converting foreign accent speech without a reference,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Converting foreign accent speech without a reference,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.816213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac67fef1-390c-4396-9a84-3559d5d27d90 · outbound

This paper cites Accent conversion using pre-trained model and synthesized data from voice conver- sion.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Accent conversion using pre-trained model and synthesized data from voice conver- sion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.804947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e21f3dda-ca92-4b7d-bed6-cd54fdd02776 · outbound

This paper cites Zero-shot foreign accent conversion without a native reference,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Zero-shot foreign accent conversion without a native reference,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.794364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84afe809-a601-4d5b-96fc-2a778d080f16 · outbound

This paper cites Evaluating methods for ground-truth- free foreign accent conversion,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Evaluating methods for ground-truth- free foreign accent conversion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.783187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b23200e9-efea-48e7-a1f0-7361508c5cb8 · outbound

This paper cites Convert and speak: Zero- shot accent conversion with minimum supervision,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Convert and speak: Zero- shot accent conversion with minimum supervision,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.769689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c3783ac-797f-4626-9910-6166e6be9c41 · outbound

This paper cites End-to-end accent conversion without using native utterances,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data End-to-end accent conversion without using native utterances,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.750692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db5273b6-fe9c-467f-91e5-71e6dadacb31 · outbound

This paper cites V oice-preserving zero-shot multiple accent conversion,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data V oice-preserving zero-shot multiple accent conversion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.736587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 551b6c67-9f69-4645-9d52-2f4ed29c0804 · outbound

This paper cites Any-to-one sequence- to-sequence voice conversion using self-supervised discrete speech representations,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Any-to-one sequence- to-sequence voice conversion using self-supervised discrete speech representations,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.627207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b8092c5-9d89-4ce0-bad4-e7ae4e99d16a · outbound

This paper cites Zero-Shot Accent Conversion using Pseudo Siamese Disentanglement Network.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Zero-Shot Accent Conversion using Pseudo Siamese Disentanglement Network

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:44.180823Z

Source-reported events for the cited work

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Observation 7d038398-61a0-4d02-88d2-825e9810e180 · outbound

This paper cites Transfer the linguis- tic representations from tts to accent conversion with non-parallel data,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Transfer the linguis- tic representations from tts to accent conversion with non-parallel data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.708102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d142cc54-931d-431c-8ebb-f9bde4e36cb3 · outbound

This paper cites Diffusion-based method with tts guidance for foreign accent con- version,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Diffusion-based method with tts guidance for foreign accent con- version,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.695099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1bb62d3-d28b-4792-bc05-06a1a5adec2c · outbound

This paper cites Improving pronunciation and accent conversion through knowledge distilla- tion and synthetic ground-truth from native tts,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Improving pronunciation and accent conversion through knowledge distilla- tion and synthetic ground-truth from native tts,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:44.197154Z

Source-reported events for the cited work

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Observation 93e0bdbd-fea5-4e21-951a-438a3825d7c6 · outbound

This paper cites Hubert: Self-supervised speech repre- sentation learning by masked prediction of hidden units,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Hubert: Self-supervised speech repre- sentation learning by masked prediction of hidden units,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.670664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e86603e3-302c-4908-ae3e-1dd560df7a05 · outbound

This paper cites Self-supervised speech representations are more phonetic than semantic,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Self-supervised speech representations are more phonetic than semantic,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.654722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55bedc40-1416-4a90-b941-d2007574abfa · outbound

This paper cites Speak, read and prompt: High- fidelity text-to-speech with minimal supervision,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Speak, read and prompt: High- fidelity text-to-speech with minimal supervision,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.640532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 006d32be-db8a-421b-9ae4-7978ca7dcc82 · outbound

This paper cites Total-duration-aware duration modeling for text-to-speech systems,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Total-duration-aware duration modeling for text-to-speech systems,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.553734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3979e28-8e47-487a-afcd-bfb7809cb329 · outbound

This paper cites On generative spoken language modeling from raw audio,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data On generative spoken language modeling from raw audio,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.614580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4c4142f0-b2f0-4b25-a19e-04e235711b2f · outbound

This paper cites Direct speech-to-speech translation with discrete units,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Direct speech-to-speech translation with discrete units,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.601000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8048819-f9d5-4b44-b9d1-b147f6b4654e · outbound

This paper cites LLaMA-Omni: Seamless Speech Interaction with Large Language Models.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Reference 35

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Source-reported events for the cited work

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Observation 423988f5-8d12-4902-9d89-7fd51d4dbd8b · outbound

This paper cites Flow matching for generative modeling,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Flow matching for generative modeling,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:44.228599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83a8a10a-82d9-4573-a6ce-06880d9101a2 · outbound

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

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Matcha-tts: A fast tts architecture with conditional flow match- ing,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.580887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c256243-c2ab-4ad1-973c-c11bbec24b54 · outbound

This paper cites V oicebox: Text-guided multilingual uni- versal speech generation at scale,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data V oicebox: Text-guided multilingual uni- versal speech generation at scale,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.568032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bdd2d72a-4063-42f1-a544-cc44a7258273 · outbound

This paper cites NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:44.240684Z

Source-reported events for the cited work

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Observation 0b4172e9-2304-4f50-9151-bdf4a2a31eac · outbound

This paper cites BigVGAN: A universal neural vocoder with large-scale train- ing,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data BigVGAN: A universal neural vocoder with large-scale train- ing,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.462267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b6bffd0-dac8-4212-ace4-2871341eb0e8 · outbound

This paper cites Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:44.249157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e72fc23-1160-4ee9-b1b5-a008c93ea0a4 · outbound

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

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Scalable diffusion models with transform- ers,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.529971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0adacf96-3d6a-4f60-a1f7-af1be2a10191 · outbound

This paper cites Classifier-free diffusion guidance,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Classifier-free diffusion guidance,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.516669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ecfd3872-f8cb-489d-8213-21facddd9760 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:44.260003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b5de5a-852e-49a6-85b2-644bcf701d94 · outbound

This paper cites L2-ARCTIC: A Non-native English Speech Corpus,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data L2-ARCTIC: A Non-native English Speech Corpus,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.502999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b0b4078-4262-407b-a87d-79539a1e670e · outbound

This paper cites The cmu arctic speech databases,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data The cmu arctic speech databases,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T18:22:44.267499Z

Source-reported events for the cited work

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Observation 104e2eee-112c-4e41-a0dd-99ee5bb95dd9 · outbound

This paper cites LibriTTS-R: A Restored Multi- Speaker Text-to-Speech Corpus,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data LibriTTS-R: A Restored Multi- Speaker Text-to-Speech Corpus,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.478485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02a47713-f3fc-4baa-bec3-3b3674e4d73f · outbound

This paper cites A comparison of best-worst scaling and rat- ing scale for timbre characterisation,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data A comparison of best-worst scaling and rat- ing scale for timbre characterisation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.446484Z

Source-reported events for the cited work

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Observation ad93342e-3a1a-44cc-9984-769c29c4149b · outbound

This paper cites Accented text- to-speech synthesis with limited data,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Accented text- to-speech synthesis with limited data,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.431990Z

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Observation edb3729a-033e-4092-b760-c0560e6bf426 · outbound

This paper cites High-fidelity neural phonetic posteriorgrams,.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data High-fidelity neural phonetic posteriorgrams,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.420760Z

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Observation 686d8b5c-22fb-4a54-9f79-fd258e4ec75b · outbound

This paper cites For synthesis, we use flow matching [28] with Resemblyzer 5 speaker embeddings and BigVGAN [40] vocoding.

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data For synthesis, we use flow matching [28] with Resemblyzer 5 speaker embeddings and BigVGAN [40] vocoding

Reference 1024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:22:44.956276Z

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Pith citing papers

Observation 56cec82a-4cef-4558-858a-aa341fa715e3 · inbound