Paper Citation Record · LEDGER

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.08348.

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

pith.paper-citation-record.v1
2506.08348 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:56.553076Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 984f4d4e-e765-4b3e-bddd-41082157cc25 · outbound

This paper cites V oice conversion based on maximum-likelihood estimation of spectral parameter trajectory,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training V oice conversion based on maximum-likelihood estimation of spectral parameter trajectory,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.213088Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 054c55bf-929c-4d75-9be2-50d73c02b065 · outbound

This paper cites V oice conver- sion using partial least squares regression,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training V oice conver- sion using partial least squares regression,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.197580Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48862db6-524c-441e-b0b7-e5c886434783 · outbound

This paper cites One-shot voice conversion by vector quan- tization,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training One-shot voice conversion by vector quan- tization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.180600Z

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Observation 0aaf1b13-36fa-458c-9b41-7c18fcc01b62 · outbound

This paper cites V oice conversion based on weighted frequency warping,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training V oice conversion based on weighted frequency warping,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.163946Z

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Observation 7dd43c19-8577-43fc-bbfb-7186634612d4 · outbound

This paper cites Exemplar-based emotional voice conversion using non-negative matrix factorization,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Exemplar-based emotional voice conversion using non-negative matrix factorization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.148796Z

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.

Observation da33dfc8-5ad9-48d6-9fee-b5b8abee40f6 · outbound

This paper cites CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:20:56.874154Z

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Observation 99f28df6-a2f3-472d-a176-31048a0dd276 · outbound

This paper cites Maskcyclegan-vc: Learning non-parallel voice conversion with filling in frames,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Maskcyclegan-vc: Learning non-parallel voice conversion with filling in frames,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.132574Z

Source-reported events for the cited work

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Observation 9d67a24d-2905-4074-ab9a-045b33805422 · outbound

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

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Stargan-vc: Non- parallel many-to-many voice conversion using star generative adversarial networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.117039Z

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.

Observation 4fd6335c-3a3c-4aa9-a103-f53bfce22d4e · outbound

This paper cites StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.392760Z

Source-reported events for the cited work

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Observation d4189bac-1350-46ff-b3c3-a060f636ea3f · outbound

This paper cites StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

Reference 10

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Source-reported events for the cited work

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Observation a4ce5873-37db-4adb-91f5-c3925145d518 · outbound

This paper cites Towards low-resource stargan voice conversion using weight adaptive instance normalization,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Towards low-resource stargan voice conversion using weight adaptive instance normalization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.102161Z

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.

Observation 95a0c7a2-16a0-43e5-8868-16dd187b3eeb · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Arbitrary style transfer in real-time with adaptive instance normalization,

Reference 12

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Source-reported events for the cited work

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Observation 10f13ce0-a278-4900-bacc-a351945f680b · outbound

This paper cites Analyzing and improving the image quality of stylegan,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Analyzing and improving the image quality of stylegan,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.412130Z

Source-reported events for the cited work

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Observation 34ddbf14-51fb-4147-9c04-1ad48ea6fac2 · outbound

This paper cites A comparison of discrete and soft speech units for improved voice conversion,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training A comparison of discrete and soft speech units for improved voice conversion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.065026Z

Source-reported events for the cited work

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Observation a7b46ca5-8135-40cc-bd41-a523363454e1 · outbound

This paper cites Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.421720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cec32e6-62f1-4393-ba0b-46bceb591cd6 · outbound

This paper cites Voice Conversion With Just Nearest Neighbors.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Voice Conversion With Just Nearest Neighbors

Reference 16

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Source-reported events for the cited work

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Observation 08562dc7-af3a-4d64-b812-abe8067c4944 · outbound

This paper cites Unsupervised speech decomposition via triple information bottleneck,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Unsupervised speech decomposition via triple information bottleneck,

Reference 17

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Observation 51267e6b-de04-4351-b386-8eac3f0f5689 · outbound

This paper cites Speech- split2. 0: Unsupervised speech disentanglement for voice conversion without tuning autoencoder bottlenecks,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Speech- split2. 0: Unsupervised speech disentanglement for voice conversion without tuning autoencoder bottlenecks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:57.026704Z

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Observation d4206615-b39a-45e5-96a6-7b9b54315815 · outbound

This paper cites One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.441589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 389d9cb2-3bb7-4c5f-9f84-436da54614bb · outbound

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

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Autovc: Zero-shot voice style transfer with only autoencoder loss,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.446819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d099ae3-f46a-4463-bb50-feaf6ed86116 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 21

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Source-reported events for the cited work

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Observation 9d9b5c92-6c73-4621-bdb8-6ffb89b708d1 · outbound

This paper cites Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition

Reference 22

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Source-reported events for the cited work

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Observation 2ddd568e-09ad-4df4-bd24-95be75ee1743 · outbound

This paper cites Zipformer: A faster and better encoder for automatic speech recognition.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Zipformer: A faster and better encoder for automatic speech recognition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.462348Z

Source-reported events for the cited work

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Observation f57e56ba-f70a-43e0-83c3-5c082c7d1716 · outbound

This paper cites Paraformer-v2: An improved non-autoregressive transformer for noise-robust speech recognition.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Paraformer-v2: An improved non-autoregressive transformer for noise-robust speech recognition

Reference 24

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Source-reported events for the cited work

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Observation 1bbcee2d-6004-41b3-86a1-47a1d2b5ebb3 · outbound

This paper cites MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification

Reference 25

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Observation 324d17f9-1a2f-48b8-a9b8-0a889100a81f · outbound

This paper cites Mfa: Tdnn with multi- scale frequency-channel attention for text-independent speaker verifi- cation with short utterances,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Mfa: Tdnn with multi- scale frequency-channel attention for text-independent speaker verifi- cation with short utterances,

Reference 26

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Observation 97c410a0-8548-4920-b604-8548fbbec478 · outbound

This paper cites Se-conformer: Time-domain speech enhancement using conformer.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Se-conformer: Time-domain speech enhancement using conformer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:56.982325Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20ec24b6-256f-4d1e-a607-066b63aa2c4a · outbound

This paper cites Cmgan: Conformer-based metric- gan for monaural speech enhancement,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Cmgan: Conformer-based metric- gan for monaural speech enhancement,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:56.966249Z

Source-reported events for the cited work

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Observation e95fdbee-caad-4a3b-8b2b-630d24ef99ea · outbound

This paper cites In Defense of the Triplet Loss for Person Re-Identification.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training In Defense of the Triplet Loss for Person Re-Identification

Reference 29

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Source-reported events for the cited work

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Observation 6b72c4ae-d7bf-413b-a6e0-f593f4477a1e · outbound

This paper cites MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:20:56.702013Z

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.

Observation 1098f1f7-edd4-441d-ad11-d24b9d113d07 · outbound

This paper cites knn-svc: Robust zero- shot singing voice conversion with additive synthesis and concatenation smoothness optimization,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training knn-svc: Robust zero- shot singing voice conversion with additive synthesis and concatenation smoothness optimization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:56.949262Z

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.

Observation 9aa6b093-a4b5-4fd5-a3b1-b94c5a44c3e8 · outbound

This paper cites A new spoken language teaching tech: Combining multi-attention and adain for one-shot cross language voice conversion,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training A new spoken language teaching tech: Combining multi-attention and adain for one-shot cross language voice conversion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:56.932215Z

Source-reported events for the cited work

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Observation a7c9e42c-6d60-4c8c-90ec-947758a786a0 · outbound

This paper cites Styleformer: Real-time arbitrary style transfer via parametric style composition,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Styleformer: Real-time arbitrary style transfer via parametric style composition,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:56.915323Z

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.

Observation 4f89271c-c861-4aa6-a42e-2758c06cb6a9 · outbound

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

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 34

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Observation 75ac5187-8e31-46cb-a028-a4a91e253f5d · outbound

This paper cites A Batch Normalized Inference Network Keeps the KL Vanishing Away.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training A Batch Normalized Inference Network Keeps the KL Vanishing Away

Reference 35

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Observation 131ea2c9-9d5d-43a5-a1ef-22a52f3f1cb4 · outbound

This paper cites Weight normalization: A simple repa- rameterization to accelerate training of deep neural networks,.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Weight normalization: A simple repa- rameterization to accelerate training of deep neural networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:56.889796Z

Source-reported events for the cited work

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Observation a85770cb-cfa8-45ba-9f37-9064db54ea4b · outbound

This paper cites Full characterization of graphs having certain normalized Laplacian eigenvalue of multiplicity $n-3$.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Full characterization of graphs having certain normalized Laplacian eigenvalue of multiplicity $n-3$

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:20:56.659146Z

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Observation b1404a95-a522-4169-adbf-291624ac1cc5 · outbound

This paper cites AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.536930Z

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Observation 8ad16dc9-375f-4d02-b738-9802b2727d04 · outbound

This paper cites VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.542341Z

Source-reported events for the cited work

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Observation 134021ad-73cd-4059-9552-ca3d68a60a33 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training Adam: A Method for Stochastic Optimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.547171Z

Source-reported events for the cited work

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Observation 5701ea33-46d4-41af-8625-d3a9f0423779 · outbound

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

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.553076Z

Source-reported events for the cited work

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Pith citing papers

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