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Paper Citation Record · LEDGER

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.03985.

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

pith.paper-citation-record.v1
2607.03985 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T22:31:42.563915Z

measured 39 of 39 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

39 of 39 outbound references displayed

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Outbound references

Observation 6d7ebf69-9ebd-4800-b99a-a96e64d1e09d · outbound

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

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Reference 1

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Observation 915a80c4-d850-461f-947c-13b0538cc745 · outbound

This paper cites CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Reference 2

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Observation c15190e2-5d44-414c-a35b-f5c02ebf21a2 · outbound

This paper cites Spark-tts: An efficient llm-based text-to-speech model with single-stream decoupled speech tokens,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Spark-tts: An efficient llm-based text-to-speech model with single-stream decoupled speech tokens,

Reference 3

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Observation 3b35607f-e66f-4b9e-97c4-a8057877b7a4 · outbound

This paper cites ControlVC: Zero-Shot Voice Conversion with Time-Varying Controls on Pitch and Speed.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization ControlVC: Zero-Shot Voice Conversion with Time-Varying Controls on Pitch and Speed

Reference 4

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Observation 4b6d308f-a11d-41f7-8aba-446eba85d1f8 · outbound

This paper cites When large language models meet speech: A survey on integration approaches,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization When large language models meet speech: A survey on integration approaches,

Reference 5

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Observation 90372ca3-726c-452e-ba12-08867bee3438 · outbound

This paper cites Kanade: A Simple Disentangled Tokenizer for Spoken Language Modeling.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Kanade: A Simple Disentangled Tokenizer for Spoken Language Modeling

Reference 6

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Observation b4f55566-d55b-4996-849f-dccb3a13897d · outbound

This paper cites Exploring Disentangled Neural Speech Codecs from Self-Supervised Representations,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Exploring Disentangled Neural Speech Codecs from Self-Supervised Representations,

Reference 7

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Observation 33caf1be-bf14-492b-8ce6-b1276ccd90ad · outbound

This paper cites Dis- crete audio tokens: More than a survey!,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Dis- crete audio tokens: More than a survey!,

Reference 8

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Observation a752befa-58b8-46e4-ad20-bf29303e8a05 · outbound

This paper cites AutoVC: Zero-shot voice style transfer with only autoencoder loss,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization AutoVC: Zero-shot voice style transfer with only autoencoder loss,

Reference 9

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Observation b97718d8-ba02-4d73-8670-1a4785f7b262 · outbound

This paper cites A comparative study of self-supervised speech representation based voice conversion,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization A comparative study of self-supervised speech representation based voice conversion,

Reference 10

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Observation cffc3372-92ee-43d3-99f7-c5a05a951d70 · outbound

This paper cites Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement

Reference 11

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Observation 8642273d-4891-4c55-b146-3380d50ab1a9 · outbound

This paper cites Stargan-VC: Non-parallel many-to-many voice conversion using star generative adversarial networks,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Stargan-VC: Non-parallel many-to-many voice conversion using star generative adversarial networks,

Reference 12

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source=pdf_text observed=2026-07-11T22:31:42.563915Z digest=sha256:180652b9d7d735222c550cf753699691c41dc515846b3326e8b8f291bee821a4

Observation 037e2dfd-3fd4-408d-accf-9f88b87aad3d · outbound

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

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Ace-VC: Adaptive and controllable voice conversion using explicitly disentangled self-supervised speech representations,

Reference 13

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Observation 13b62ab2-4f99-4ab0-9b4d-f1172f6d9cd8 · outbound

This paper cites Speaker Anonymisation Using the McAdams Coefficient,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Speaker Anonymisation Using the McAdams Coefficient,

Reference 14

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source=pdf_text observed=2026-07-11T22:31:42.563915Z digest=sha256:5d5b3a1227f60f4895291e9efc1d62a8a13b94b472de65eb8c488d52ef6be271

Observation c6050c54-82b5-40d5-b76d-1a9e932f8eca · outbound

This paper cites Improving speaker de-identification with functional data analysis of f0 trajectories,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Improving speaker de-identification with functional data analysis of f0 trajectories,

Reference 15

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source=pdf_text observed=2026-07-11T22:31:42.563915Z digest=sha256:44c39f3ab6eea3f96125fd00be326784a240e99ad70fad31cfbcf98a6f388b5d

Observation a245b2e4-c4cd-449d-bbd7-61d8c98a6f45 · outbound

This paper cites Speaker anonymiza- tion using orthogonal householder neural network,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Speaker anonymiza- tion using orthogonal householder neural network,

Reference 16

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Observation 408527bb-34a3-40a9-916e-0e5852d78f6c · outbound

This paper cites The V oicePrivacy 2024 challenge evaluation plan,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization The V oicePrivacy 2024 challenge evaluation plan,

Reference 17

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Observation 0eb137b8-3eb1-4268-af5b-7fb776dd413b · outbound

This paper cites The third V oicePrivacy challenge: Preserving emotional expressiveness and linguistic content in voice anonymization,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization The third V oicePrivacy challenge: Preserving emotional expressiveness and linguistic content in voice anonymization,

Reference 18

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Observation 031a86b4-52dc-4748-9a88-743cca8fd0d5 · outbound

This paper cites Stream-voice-anon: Enhancing utility of real-time speaker anonymization via neural audio codec and language models,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Stream-voice-anon: Enhancing utility of real-time speaker anonymization via neural audio codec and language models,

Reference 19

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Observation 59362ea5-0b64-4b31-932e-14b308c97427 · outbound

This paper cites Speech pseudonymisation assessment using voice similarity matrices,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Speech pseudonymisation assessment using voice similarity matrices,

Reference 20

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Observation bf809e96-47e7-4da1-9855-ba68deacbf08 · outbound

This paper cites Nvae: A deep hierarchical variational autoencoder,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Nvae: A deep hierarchical variational autoencoder,

Reference 21

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source=pdf_text observed=2026-07-11T22:31:42.563915Z digest=sha256:6b2357c9141c230d226b7b2d1aeaf6e1b90d743d1161f4527f15654c5f7c4ec5

Observation 50441252-411d-4fdd-a93f-5a56c7ac83cc · outbound

This paper cites Robust Stochastic Optimization via Gradient Quantile Clipping.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Robust Stochastic Optimization via Gradient Quantile Clipping

Reference 22

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Observation 221484eb-6785-4cac-9834-5f11fe601244 · outbound

This paper cites Improved variational inference with inverse autoregressive flow,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Improved variational inference with inverse autoregressive flow,

Reference 23

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Observation 61096a11-456b-46ee-8ee6-f058ed292805 · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 24

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Observation 2d81e528-26a9-423b-a4f2-6bb4d1e8eb9c · outbound

This paper cites Neural discrete representation learning,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Neural discrete representation learning,

Reference 25

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Observation a5fe7b08-4a91-417a-9846-2cac4b8276e2 · outbound

This paper cites Unsupervised domain adaptation by backpropagation,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Unsupervised domain adaptation by backpropagation,

Reference 26

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Observation 3921d93d-281a-41be-b33c-b36863b358f5 · outbound

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

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Reference 27

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Observation 876a18b8-983d-45ac-8849-d68f7812da0f · outbound

This paper cites CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking

Reference 28

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Observation 37cec415-84ef-43f7-96da-b1f5f833ca6a · outbound

This paper cites Cosyvoice,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Cosyvoice,

Reference 29

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Observation 21bee918-96c4-4697-8abf-80e131b6c6da · outbound

This paper cites Gaussian mixture models.,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Gaussian mixture models.,

Reference 30

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Observation c12a6ca8-3d87-48df-a8b8-3f587b66bea0 · outbound

This paper cites Speaker generation,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Speaker generation,

Reference 31

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Observation 4afbf3c9-2c25-4fe5-8b8a-f9763c7840e1 · outbound

This paper cites Scikit-learn: Machine learning in python,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Scikit-learn: Machine learning in python,

Reference 32

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Observation 4eb268a7-d49d-4c5b-8391-876553db037d · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 33

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Observation e8b4f584-c71d-4ea7-8d43-1e8aa75bcd26 · outbound

This paper cites V oxceleb: A large-scale speaker identification dataset,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization V oxceleb: A large-scale speaker identification dataset,

Reference 34

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Observation 9d1e63a7-464e-4c61-b160-52434274aaeb · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 35

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Observation 0453492a-ccff-43de-b8f2-0746ae3f3c1b · outbound

This paper cites Librispeech: An asr corpus based on public domain audio books,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Librispeech: An asr corpus based on public domain audio books,

Reference 36

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Observation 17de727c-3128-4470-adbb-273840b773e8 · outbound

This paper cites SUPERB: Speech Processing Universal PERfor- mance Benchmark,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization SUPERB: Speech Processing Universal PERfor- mance Benchmark,

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T22:31:42.563915Z digest=sha256:e3004dd433d17a051c11c1f7c35efb2cfb2383db46f2611d200d8bec729585bc

Observation f5726ecf-8d85-4492-a243-6644c8be6f02 · outbound

This paper cites IEMOCAP: Interactive emotional dyadic motion capture database,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization IEMOCAP: Interactive emotional dyadic motion capture database,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-11T22:31:42.563915Z

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source=pdf_text observed=2026-07-11T22:31:42.563915Z digest=sha256:bff9f22d79f3bac3f4cb01030a2a4bd1c24f3e78e6e7f46c05c691c01d04b20d

Observation ec091f23-465d-4365-8d96-988e85dfcea5 · outbound

This paper cites A kernel two-sample test,.

NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization A kernel two-sample test,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-11T22:31:42.563915Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-11T22:31:42.563915Z digest=sha256:1ca38eec52646dfec14472cbc4cd508dca1e487cfcd27e2499eb34ca91d23752

Pith citing papers

No inbound Pith citation observations are available.