SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization | Paper Citation Record

Observation 1d02f27e-9480-4ba7-ac31-a6b5d94790cf · outbound

This paper cites General data protection regulation (GDPR),.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization General data protection regulation (GDPR),

Reference 1

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Observation 08482985-d7c4-4c26-8602-1c32fee7a0b9 · outbound

This paper cites The V oicePrivacy 2020 challenge: Results and findings,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization The V oicePrivacy 2020 challenge: Results and findings,

Reference 2

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Observation c6c6931e-69ae-4d76-ad52-c119d495b852 · outbound

This paper cites The VoicePrivacy 2022 Challenge Evaluation Plan.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization The VoicePrivacy 2022 Challenge Evaluation Plan

Reference 3

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Observation 2b5700fa-504a-4edb-ac8a-4db690a24059 · outbound

This paper cites The V oicePrivacy 2022 challenge: Progress and perspectives in voice anonymisation,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization The V oicePrivacy 2022 challenge: Progress and perspectives in voice anonymisation,

Reference 4

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Observation 5f197030-bf1c-4030-afbc-effde2e71b5a · outbound

This paper cites The VoicePrivacy 2024 Challenge Evaluation Plan.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization The VoicePrivacy 2024 Challenge Evaluation Plan

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:53.343550Z

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Observation a37dcc0a-daf3-49be-af00-d55b899ed8b2 · outbound

This paper cites Design of voice privacy system using linear prediction,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Design of voice privacy system using linear prediction,

Reference 6

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Observation df55cd6d-6d6e-4c6d-89fc-d5d4bd21539d · outbound

This paper cites Adjustable de- terministic pseudonymisation of speech: Idiap-NKI’s submission to V oicePrivacy 2020 challenge,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Adjustable de- terministic pseudonymisation of speech: Idiap-NKI’s submission to V oicePrivacy 2020 challenge,

Reference 7

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This paper cites an unresolved cited work.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Unresolved cited work

Reference 8

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Observation 6df97f9a-189c-459e-958d-bb8b1783b6b9 · outbound

This paper cites an unresolved cited work.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Unresolved cited work

Reference 9

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Observation 1a88920f-c004-4096-bde3-a7d30b3d1cfb · outbound

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

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Improving speaker de- identification with functional data analysis of f0 trajectories,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.778533Z

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Observation 6e222194-f34e-4466-81ab-d81079a42f89 · outbound

This paper cites Introducing the V oicePrivacy Initiative,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Introducing the V oicePrivacy Initiative,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.770623Z

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Observation 848e29f9-522a-46d0-a345-31178579a3dc · outbound

This paper cites Evaluating voice conversion-based privacy protection against informed attackers,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Evaluating voice conversion-based privacy protection against informed attackers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.762967Z

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Observation 61dcf522-dd27-4948-bc8e-35ea1fac9a62 · outbound

This paper cites Hltcoe jhu submission to the voice privacy challenge 2024,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Hltcoe jhu submission to the voice privacy challenge 2024,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.755345Z

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Observation 4d3513a5-ed67-4126-b88f-c193f768eba8 · outbound

This paper cites Speaker anonymization using x-vector and neural waveform models,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymization using x-vector and neural waveform models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.747927Z

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Observation 0e7584c4-edc0-4fe2-87a6-4784f6046542 · outbound

This paper cites Prosody is not identity: A speaker anonymization approach using prosody cloning,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Prosody is not identity: A speaker anonymization approach using prosody cloning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.739653Z

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Observation 4fb6096b-094f-4a19-af7c-d8dc1a3d66c4 · outbound

This paper cites Differentially private speaker anonymization,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Differentially private speaker anonymization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.731362Z

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Observation ad14c6b8-4cd0-448c-9e2c-d142e246fdb7 · outbound

This paper cites Speaker anonymization by modifying fundamental frequency and x- vector singular value,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymization by modifying fundamental frequency and x- vector singular value,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:53.375520Z

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Observation 30d98795-f335-4940-862f-549c6d9f0e8a · outbound

This paper cites Musa: Multi-lingual speaker anonymization via serial disentanglement,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Musa: Multi-lingual speaker anonymization via serial disentanglement,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.719983Z

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Observation 5d141dea-ff06-4002-afdd-087a1c51acdf · outbound

This paper cites Language-independent speaker anonymization approach using self- supervised pre-trained models,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Language-independent speaker anonymization approach using self- supervised pre-trained models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:53.383294Z

Source-reported events for the cited work

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Observation 175ee15f-9fcb-4db8-8c0b-8fd7196ea196 · outbound

This paper cites Speaker anonymization using orthogonal Householder neural network,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymization using orthogonal Householder neural network,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.708992Z

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Observation 3af7903d-bb6a-48dd-a7ba-0cbaf0809dd6 · outbound

This paper cites Distinctive and natural speaker anonymization via singular value transformation-assisted matrix,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Distinctive and natural speaker anonymization via singular value transformation-assisted matrix,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.700482Z

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Observation d119b6a9-8ebe-4196-a4cc-ffc2afab2921 · outbound

This paper cites Probing the feasibility of multilingual speaker anonymization,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Probing the feasibility of multilingual speaker anonymization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.693191Z

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Observation bbbf78f6-6ecc-40e3-a5a5-416cc5af2fed · outbound

This paper cites A benchmark for multi- speaker anonymization,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization A benchmark for multi- speaker anonymization,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:53.394223Z

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Observation 886d26ca-18ec-42df-82db-51f7492d3220 · outbound

This paper cites HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.681948Z

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Observation e58662dd-7de1-4bcf-928c-b719d0b440d0 · outbound

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

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Wavlm: Large-scale self-supervised pre- training for full stack speech processing,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:53.399377Z

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Observation 5ee8cf6f-4c85-46bd-ae2b-d62ce695124c · outbound

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

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:53.401949Z

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Observation 0d26c829-85c3-4efc-be24-a90cc5fcce39 · outbound

This paper cites X-vectors: Robust DNN embeddings for speaker recognition,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization X-vectors: Robust DNN embeddings for speaker recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.665536Z

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Observation 7e0575e7-8db2-4b8c-be1f-8a28e0d2a566 · outbound

This paper cites ECAPA-TDNN: Emphasized channel attention, propagation and aggregation in TDNN based speaker verification,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization ECAPA-TDNN: Emphasized channel attention, propagation and aggregation in TDNN based speaker verification,

Reference 29

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Observation edaff113-12f5-4df5-a0dc-c0c208bbf9bd · outbound

This paper cites Design choices for x-vector based speaker anonymization,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Design choices for x-vector based speaker anonymization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.647073Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 904c4c3e-a7ca-494e-9980-c8be2a4701b7 · outbound

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

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Privacy and utility of x-vector based speaker anonymization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.639743Z

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Observation 4d3fb5a3-6ef4-40e7-a381-05a7d22d98eb · outbound

This paper cites Analyzing language-independent speaker anonymization framework under unseen conditions,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Analyzing language-independent speaker anonymization framework under unseen conditions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.631695Z

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Observation 66ccd2a3-37ed-4138-be3c-2b77650d8c3c · outbound

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

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization HiFi-GAN: Generative adversarial net- works for efficient and high fidelity speech synthesis,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.624624Z

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Observation 633084e3-e4c4-40c1-a42d-d30cba7a9132 · outbound

This paper cites Privacy versus emotion preservation trade-offs in emotion-preserving speaker anonymization,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Privacy versus emotion preservation trade-offs in emotion-preserving speaker anonymization,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.616898Z

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Observation e7b8c8ca-ac6a-4a9b-af8e-01b7f357e0e5 · outbound

This paper cites Anonymising elderly and pathological speech: V oice conversion using ddsp and query-by-example,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Anonymising elderly and pathological speech: V oice conversion using ddsp and query-by-example,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.609393Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c012ece3-545b-4e54-819c-5412fda7aa58 · outbound

This paper cites Comparing speech anonymization efficacy by voice conversion using knn and disentangled speaker feature representations,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Comparing speech anonymization efficacy by voice conversion using knn and disentangled speaker feature representations,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.602128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0d3f9a74-4dae-487c-9db2-02c2cbb4c019 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Conformer: Convolution-augmented transformer for speech recognition,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.586782Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6069b3f9-4f68-4eca-b2db-9fcd9ff477ae · outbound

This paper cites Private knn-vc: Interpretable anonymization of converted speech,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Private knn-vc: Interpretable anonymization of converted speech,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.579113Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1bafc7e9-262f-4b79-8dff-2132e9dd19e4 · outbound

This paper cites SUPERB: Speech Processing Universal PERformance Benchmark,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization SUPERB: Speech Processing Universal PERformance Benchmark,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.571000Z

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Observation 7ee44841-f977-4b36-8fe4-1d5c256a40f1 · outbound

This paper cites LibriSpeech: an ASR corpus based on public domain audio books,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization LibriSpeech: an ASR corpus based on public domain audio books,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.562749Z

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Observation 86dda737-7a32-4762-a4d1-d09e66cea21e · outbound

This paper cites V oxceleb2: Deep speaker recognition,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization V oxceleb2: Deep speaker recognition,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.553989Z

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Observation 254c8d4f-938d-48dc-9db5-fec76c727e45 · outbound

This paper cites V oice conversion with just nearest neighbors,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization V oice conversion with just nearest neighbors,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.594736Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a5961b16-8f11-4a58-9ae8-98484d8133ec · outbound

This paper cites Speaker anonymization using x-vector and neural waveform models,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymization using x-vector and neural waveform models,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.546607Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e9c5a80-199d-423d-b52a-280aff9f1e1c · outbound

This paper cites Anonymiz- ing speech with generative adversarial networks to preserve speaker privacy,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Anonymiz- ing speech with generative adversarial networks to preserve speaker privacy,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.537873Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5f8377ec-ef4a-4c37-9523-b63261df7f6b · outbound

This paper cites Speaker anonymization using neural audio codec language models,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymization using neural audio codec language models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.654044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b00025f1-61ad-4635-85f3-87d4de6398a8 · outbound

This paper cites Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:53.457785Z

Source-reported events for the cited work

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Observation 7f7017a4-fc9b-47c8-aae1-0b1ff9f698e8 · outbound

This paper cites Adapting general disentanglement-based speaker anonymization for enhanced emotion preservation,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Adapting general disentanglement-based speaker anonymization for enhanced emotion preservation,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:53.459998Z

Source-reported events for the cited work

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Observation b57550e5-76ad-4e25-956b-0cc3bf035f87 · outbound

This paper cites Speaker anonymisation using the mcadams coefficient,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymisation using the mcadams coefficient,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.526035Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 050a6ce9-d328-44b9-b78a-c69fd9f9242d · outbound

This paper cites V ocoder drift compensation by x-vector alignment in speaker anonymisation,.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization V ocoder drift compensation by x-vector alignment in speaker anonymisation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.517750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 45d565da-2f15-4965-bb80-56a666547d76 · outbound

This paper cites Visualizing data using t-SNE.

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Visualizing data using t-SNE

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:53.508507Z

Source-reported events for the cited work

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