Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:25:53.467246Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2508.07086.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:25:53.467246Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
49 of 49 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1d02f27e-9480-4ba7-ac31-a6b5d94790cf · outbound
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
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization The V oicePrivacy 2020 challenge: Results and findings,
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Observation c6c6931e-69ae-4d76-ad52-c119d495b852 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization The VoicePrivacy 2022 Challenge Evaluation Plan
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Observation 2b5700fa-504a-4edb-ac8a-4db690a24059 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization The V oicePrivacy 2022 challenge: Progress and perspectives in voice anonymisation,
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Observation 5f197030-bf1c-4030-afbc-effde2e71b5a · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization The VoicePrivacy 2024 Challenge Evaluation Plan
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SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Design of voice privacy system using linear prediction,
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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,
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Observation 7fda8fca-1b94-4273-80e6-870ad713614c · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Unresolved cited work
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Observation 6df97f9a-189c-459e-958d-bb8b1783b6b9 · outbound
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
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
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Observation 6e222194-f34e-4466-81ab-d81079a42f89 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Introducing the V oicePrivacy Initiative,
Reference 11
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Observation 848e29f9-522a-46d0-a345-31178579a3dc · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Evaluating voice conversion-based privacy protection against informed attackers,
Reference 12
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Observation 61dcf522-dd27-4948-bc8e-35ea1fac9a62 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Hltcoe jhu submission to the voice privacy challenge 2024,
Reference 13
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Observation 4d3513a5-ed67-4126-b88f-c193f768eba8 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymization using x-vector and neural waveform models,
Reference 14
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Observation 0e7584c4-edc0-4fe2-87a6-4784f6046542 · outbound
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
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Observation 4fb6096b-094f-4a19-af7c-d8dc1a3d66c4 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Differentially private speaker anonymization,
Reference 16
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Observation ad14c6b8-4cd0-448c-9e2c-d142e246fdb7 · outbound
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
Source-reported events for the cited work
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Observation 30d98795-f335-4940-862f-549c6d9f0e8a · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Musa: Multi-lingual speaker anonymization via serial disentanglement,
Reference 19
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Observation 5d141dea-ff06-4002-afdd-087a1c51acdf · outbound
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
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Observation 175ee15f-9fcb-4db8-8c0b-8fd7196ea196 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymization using orthogonal Householder neural network,
Reference 21
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Observation 3af7903d-bb6a-48dd-a7ba-0cbaf0809dd6 · outbound
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
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Observation d119b6a9-8ebe-4196-a4cc-ffc2afab2921 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Probing the feasibility of multilingual speaker anonymization,
Reference 23
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Observation bbbf78f6-6ecc-40e3-a5a5-416cc5af2fed · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization A benchmark for multi- speaker anonymization,
Reference 24
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Observation 886d26ca-18ec-42df-82db-51f7492d3220 · outbound
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
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Observation e58662dd-7de1-4bcf-928c-b719d0b440d0 · outbound
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
Source-reported events for the cited work
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Observation 5ee8cf6f-4c85-46bd-ae2b-d62ce695124c · outbound
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
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Observation 0d26c829-85c3-4efc-be24-a90cc5fcce39 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization X-vectors: Robust DNN embeddings for speaker recognition,
Reference 28
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Observation 7e0575e7-8db2-4b8c-be1f-8a28e0d2a566 · outbound
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
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Design choices for x-vector based speaker anonymization,
Reference 31
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Observation 904c4c3e-a7ca-494e-9980-c8be2a4701b7 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Privacy and utility of x-vector based speaker anonymization,
Reference 32
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Observation 4d3fb5a3-6ef4-40e7-a381-05a7d22d98eb · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Analyzing language-independent speaker anonymization framework under unseen conditions,
Reference 33
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Observation 66ccd2a3-37ed-4138-be3c-2b77650d8c3c · outbound
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
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Observation 633084e3-e4c4-40c1-a42d-d30cba7a9132 · outbound
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
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Observation e7b8c8ca-ac6a-4a9b-af8e-01b7f357e0e5 · outbound
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
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Observation c012ece3-545b-4e54-819c-5412fda7aa58 · outbound
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
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Observation 0d3f9a74-4dae-487c-9db2-02c2cbb4c019 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Conformer: Convolution-augmented transformer for speech recognition,
Reference 39
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Observation 6069b3f9-4f68-4eca-b2db-9fcd9ff477ae · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Private knn-vc: Interpretable anonymization of converted speech,
Reference 40
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Observation 1bafc7e9-262f-4b79-8dff-2132e9dd19e4 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization SUPERB: Speech Processing Universal PERformance Benchmark,
Reference 41
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Observation 7ee44841-f977-4b36-8fe4-1d5c256a40f1 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization LibriSpeech: an ASR corpus based on public domain audio books,
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Observation 86dda737-7a32-4762-a4d1-d09e66cea21e · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization V oxceleb2: Deep speaker recognition,
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Observation 254c8d4f-938d-48dc-9db5-fec76c727e45 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization V oice conversion with just nearest neighbors,
Reference 44
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Observation a5961b16-8f11-4a58-9ae8-98484d8133ec · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymization using x-vector and neural waveform models,
Reference 45
Source-reported events for the cited work
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Observation 5e9c5a80-199d-423d-b52a-280aff9f1e1c · outbound
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
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Observation 5f8377ec-ef4a-4c37-9523-b63261df7f6b · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymization using neural audio codec language models,
Reference 47
Source-reported events for the cited work
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Observation b00025f1-61ad-4635-85f3-87d4de6398a8 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques
Reference 48
Source-reported events for the cited work
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Observation 7f7017a4-fc9b-47c8-aae1-0b1ff9f698e8 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Adapting general disentanglement-based speaker anonymization for enhanced emotion preservation,
Reference 49
Source-reported events for the cited work
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Observation b57550e5-76ad-4e25-956b-0cc3bf035f87 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Speaker anonymisation using the mcadams coefficient,
Reference 50
Source-reported events for the cited work
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Observation 050a6ce9-d328-44b9-b78a-c69fd9f9242d · outbound
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
Source-reported events for the cited work
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Observation 45d565da-2f15-4965-bb80-56a666547d76 · outbound
SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization Visualizing data using t-SNE
Reference 52
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.
No inbound Pith citation observations are available.