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Paper Citation Record · LEDGER

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2504.13791.

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

pith.paper-citation-record.v1
2504.13791 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:04:28.729495Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:02:15.024693Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T06:02:15.170821Z

Reference resolution

42 of 42 outbound references displayed

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  • verified fuzzy30
  • unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e5e6cee-0b92-4b9c-abc2-9cbb1a4ba9c6 · outbound

This paper cites An overview of voice con- version and its challenges: From statistical modeling to deep learning,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion An overview of voice con- version and its challenges: From statistical modeling to deep learning,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a3072771-91af-42b4-a617-2a6c42de5bf2 · outbound

This paper cites V oice conversion for whispered speech synthesis,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion V oice conversion for whispered speech synthesis,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f3cd7ed7-34f1-4e9c-8fdb-2ea46c96d3d7 · outbound

This paper cites V oice conversion using gaussian mixture models,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion V oice conversion using gaussian mixture models,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 176be5c0-4253-47d5-b676-99b92d48e999 · outbound

This paper cites Cross-lingual voice conversion with bilingual phonetic posteriorgram and average modeling,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Cross-lingual voice conversion with bilingual phonetic posteriorgram and average modeling,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 12579718-43c8-4278-a97a-95fe16aac788 · outbound

This paper cites Restricted boltzmann machine-based voice conversion for nonparallel corpus,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Restricted boltzmann machine-based voice conversion for nonparallel corpus,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:04:28.575109Z digest=sha256:ca1746beeb75ed83d6ffea3ca86b2ec7f2bcbea9d31ffcb9c964dbff3759463a

Observation cbc18b0a-ae47-45ef-9338-cf7d23fbd5e1 · outbound

This paper cites Mixture of factor analyzers using priors from non-parallel speech for voice conversion,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Mixture of factor analyzers using priors from non-parallel speech for voice conversion,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:04:28.579482Z digest=sha256:4696fbfd77a01108fc11c014f32fd81d16777774bdc1e13c5b95b25c3686f542

Observation ecfcc3cc-f9a3-4ca9-acfd-b1b69c1b29bb · outbound

This paper cites Phoneme independent hmm voice conversion,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Phoneme independent hmm voice conversion,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d687304e-b2d5-44bd-b0bc-1bb0857caa98 · outbound

This paper cites V oice conversion through vector quantization,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion V oice conversion through vector quantization,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 87decca6-27f5-4e2c-920c-9ef4da4047a3 · outbound

This paper cites Generative adversarial nets,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Generative adversarial nets,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b213f217-4ae6-4701-9079-2dcad24dd381 · outbound

This paper cites An adaptive-learning-based generative adversarial network for one-to-one voice conversion,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion An adaptive-learning-based generative adversarial network for one-to-one voice conversion,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c55aacad-594a-4749-a3e8-97da9a0cfb2b · outbound

This paper cites Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2449b56b-137c-4811-97b2-66bd144e7149 · outbound

This paper cites V ocoder-free end-to-end voice conversion with transformer network,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion V ocoder-free end-to-end voice conversion with transformer network,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:04:28.607636Z digest=sha256:a6402d74452366db4a35bfe6275410a36e90a9b386f99efc6812be1369adb62a

Observation daf5ac55-71f6-48f9-aa21-b2004e460009 · outbound

This paper cites V ocoder-free end-to-end voice conversion with transformer net- work,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion V ocoder-free end-to-end voice conversion with transformer net- work,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a46f285a-e625-45c2-8225-f30f57c3cbc7 · outbound

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

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Maskcyclegan-VC: Learning non-parallel voice conversion with filling in frames,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 779ec203-27bb-4d10-9827-f681f3a64331 · outbound

This paper cites V oice conversion using feature specific loss function based self-attentive generative adversarial network,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion V oice conversion using feature specific loss function based self-attentive generative adversarial network,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:04:28.619386Z digest=sha256:674cf770bdd7514fc75ffd69b54312de51093e44b71a5fca133442b6df5b45b1

Observation 2fd08525-3484-402e-8d1c-dd93e05376fa · outbound

This paper cites FID- RPRGAN-VC: Fr ´echet inception distance loss based region-wise posi- tion normalized relativistic gan for non-parallel voice conversion,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion FID- RPRGAN-VC: Fr ´echet inception distance loss based region-wise posi- tion normalized relativistic gan for non-parallel voice conversion,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3006622b-5790-47d5-9faf-951a61ebad4b · outbound

This paper cites GLGAN-VC: A guided loss based generative adversarial network for many-to-many voice conversion,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion GLGAN-VC: A guided loss based generative adversarial network for many-to-many voice conversion,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3a66c030-9382-4752-965f-2a0f41b2d965 · outbound

This paper cites Study of speech recognition using cnn,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Study of speech recognition using cnn,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 68045828-fe51-493b-8143-5959678a7a99 · outbound

This paper cites ViT-GAN: Using vision transformer as discriminator with adaptive data augmentation,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion ViT-GAN: Using vision transformer as discriminator with adaptive data augmentation,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d8a4130-7762-4a3b-b769-f390c79c07cb · outbound

This paper cites Convolutional feature based vision transformer model for speech command recognition,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Convolutional feature based vision transformer model for speech command recognition,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 59c001c4-95c9-46ff-b3a3-5518c600935b · outbound

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

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion CMGAN: Conformer-based metric gan for speech enhancement,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 31455770-9195-4419-9b7e-df367f821175 · outbound

This paper cites NIPS 2016 Tutorial: Generative Adversarial Networks.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion NIPS 2016 Tutorial: Generative Adversarial Networks

Reference 22

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Unavailable: canonical work link unavailable.

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Observation e5a6991d-977a-413b-a322-4198d53f3b00 · outbound

This paper cites Towards solving nlp tasks with optimal transport loss,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Towards solving nlp tasks with optimal transport loss,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:04:28.652566Z digest=sha256:f49db30f1e2e3a94df434ceaf531d236b3aa47c10a5630e3543e5b4f167d3939

Observation 90e1dc36-704f-4257-9afc-ceb0df4553db · outbound

This paper cites Hilbert sinkhorn divergence for optimal transport,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Hilbert sinkhorn divergence for optimal transport,

Reference 24

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raw_fallback, observed 2026-08-16T12:04:29.108453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ba7ab420-1b81-4b6d-a199-f0791b19d353 · outbound

This paper cites Learning with a Wasserstein Loss.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Learning with a Wasserstein Loss

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 60895f40-3824-4399-bda0-d41a65fc2c1e · outbound

This paper cites Multi-agent diverse generative adversarial networks,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Multi-agent diverse generative adversarial networks,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e2c2eaab-a740-4ad0-9e74-e1fb6df6abb7 · outbound

This paper cites Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:04:28.668565Z digest=sha256:d51e6c4c82957dff009717cc6802a0d8105c33a4a6602f3709e0b95f7c66e862

Observation 8f096b65-fe3f-4e0d-995a-574866c08a94 · outbound

This paper cites MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:04:28.673060Z digest=sha256:22f00324166b586bcfe7426b9da2bc39da50bdcf865d0515092a91cdaff240bc

Observation b2189c94-e9d7-4047-9d69-bc1aa9e7c369 · outbound

This paper cites Cyclegean: Cycle generative enhanced adversarial network for voice conversion,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Cyclegean: Cycle generative enhanced adversarial network for voice conversion,

Reference 29

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raw_fallback, observed 2026-08-16T12:04:29.078901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:04:28.677720Z digest=sha256:e36584fe2c29780310cac1f0801e3bbf4d57aca845627eab4632dd1e600b7f60

Observation 248f7499-c810-4e9d-8800-199a7b508c49 · outbound

This paper cites Cyclegan-VC2: Improved cyclegan-based non-parallel voice conversion,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Cyclegan-VC2: Improved cyclegan-based non-parallel voice conversion,

Reference 30

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raw_fallback, observed 2026-08-16T12:04:29.066340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:04:28.682029Z digest=sha256:0454af32ee7a55770d42a34817c24cdaec03b953a1718ce6ca2c6fddc5abbc7d

Observation 649bdd36-7b00-4a2f-8c93-648336982f56 · outbound

This paper cites Image Fine-grained Inpainting.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Image Fine-grained Inpainting

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:04:28.685695Z digest=sha256:fecbd92edc26219c443d390f950f7cc731f15c7935e26e376c10a7d65208072f

Observation e9bf96fb-9a33-4868-b835-60539abf2265 · outbound

This paper cites Improving GANs Using Optimal Transport.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Improving GANs Using Optimal Transport

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5ef2ae58-6322-4d1b-a04c-5c122e54b623 · outbound

This paper cites Flattening layer pruning in convo- lutional neural networks,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Flattening layer pruning in convo- lutional neural networks,

Reference 33

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raw_fallback, observed 2026-08-16T12:04:29.052875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:04:28.694540Z digest=sha256:0f42adb0bb4ab5e8545364302276a274db544293be08566dc1dec70db9d5ccc7

Observation e09387fd-1cca-41a9-8039-5e71bf4dd255 · outbound

This paper cites The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

Reference 34

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Observation 44a0bc75-5a77-4410-b709-a9a6db0fcdc0 · outbound

This paper cites Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92),.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92),

Reference 35

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Observation 5474d1de-bfb8-4b18-84fb-2c19c4590193 · outbound

This paper cites The cmu arctic speech databases,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion The cmu arctic speech databases,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 013a84b9-8dc7-4dd5-a619-7e5abe11da3b · outbound

This paper cites Non-parallel voice conversion based on free-energy minimization of speaker-conditional restricted boltzmann machine,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Non-parallel voice conversion based on free-energy minimization of speaker-conditional restricted boltzmann machine,

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 13a3bf7a-2ac0-4416-8e44-cfab05c85dd0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Adam: A Method for Stochastic Optimization

Reference 38

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Observation 2601e72e-3bd3-416c-966c-a7453bfc5790 · outbound

This paper cites MelGAN: Generative adversarial networks for conditional waveform synthesis,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion MelGAN: Generative adversarial networks for conditional waveform synthesis,

Reference 39

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ed7750ad-d1bb-40da-8111-1b670bcf4e01 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ce8ba647-fa99-4950-ae97-1af1c4180308 · outbound

This paper cites Nonparallel voice conversion based on phoneme classification and eigenvoices,.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Nonparallel voice conversion based on phoneme classification and eigenvoices,

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4b56ac00-966d-469f-b124-ef8bc897708d · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 26022031.

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Available: https://api.semanticscholar.org/CorpusID: 26022031

Reference 2017

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

Observation 069ebea7-e150-4bfd-8046-d989fdc7054f · inbound

Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements cites this paper.

Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion

Reference 136

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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