Paper Citation Record · LEDGER

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2505.13805.

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

pith.paper-citation-record.v1
2505.13805 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:46.876521Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:45.498553Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:13:47.342474Z

Reference resolution

40 of 40 outbound references displayed

verified exact4
verified fuzzy11
unresolved24
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e225211b-9720-4903-aab3-b578015a7cea · outbound

This paper cites an unresolved cited work.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:13:48.512929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a5221266-f0da-4dd7-afef-5fb8a4d37a81 · outbound

This paper cites System Overview As illustrated in Fig.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech System Overview As illustrated in Fig

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:48.462992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9b5b0957-6312-44d7-835a-56e2f64bd8fc · outbound

This paper cites Experimental Setups 3.1.1.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Experimental Setups 3.1.1

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:13:48.345570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36356220-d537-4e83-90ae-d44eec721d11 · outbound

This paper cites Specifically, the proposed ClapFM-EVC initially employs EVC-CLAP to extract and align emotional elements across audio-text modalities.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Specifically, the proposed ClapFM-EVC initially employs EVC-CLAP to extract and align emotional elements across audio-text modalities

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:48.210044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dcc29f3a-ab75-4dee-9b30-7d87e0617701 · outbound

This paper cites MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:13:47.287643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f8ee533-e6dc-4821-9b95-67253c353882 · outbound

This paper cites Mixed emotion mod- elling for emotional voice conversion,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Mixed emotion mod- elling for emotional voice conversion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:48.065329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f36b60e-55e2-4bf2-99c5-ad443aaa2219 · outbound

This paper cites A pre-training based personalized dialogue generation model with persona- sparse data,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech A pre-training based personalized dialogue generation model with persona- sparse data,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:47.995333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 572cb274-12a8-4bd3-a3cf-a6a90c9fb3b1 · outbound

This paper cites Takin: A Cohort of Superior Quality Zero-shot Speech Generation Models.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Takin: A Cohort of Superior Quality Zero-shot Speech Generation Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:45.693164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7f7ba3-305b-40c8-9e01-dd72d1ae1960 · outbound

This paper cites From speaker to dubber: movie dubbing with prosody and duration consistency learning,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech From speaker to dubber: movie dubbing with prosody and duration consistency learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:45.699418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d27ae634-a04c-4d92-9f2e-e31d9bb82bb5 · outbound

This paper cites Promptvc: Flexible stylistic voice conversion in latent space driven by natural language prompts,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Promptvc: Flexible stylistic voice conversion in latent space driven by natural language prompts,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.039171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343f80d5-8607-47fd-bba7-895e25f00d8b · outbound

This paper cites GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:13:47.217133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9cb69022-47e4-49ed-ad31-9af27db019a2 · outbound

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

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:45.889714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67282a1e-8bc9-4ff5-be50-1f12d0dd59d3 · outbound

This paper cites Squeezeformer: An effi- cient transformer for automatic speech recognition,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Squeezeformer: An effi- cient transformer for automatic speech recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:47.969688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 77fcd420-0f8a-4bde-86a8-049a87d4ebe4 · outbound

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

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:45.900121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de513d13-5a8a-4c4e-9746-049ca636d280 · outbound

This paper cites One-shot emotional voice conversion based on feature separa- tion,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech One-shot emotional voice conversion based on feature separa- tion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:47.702923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71042821-bd59-4101-8f0e-e8a89c26795d · outbound

This paper cites Stargan for emo- tional speech conversion: Validated by data augmentation of end- to-end emotion recognition,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Stargan for emo- tional speech conversion: Validated by data augmentation of end- to-end emotion recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:47.901699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a43d34f8-1843-4420-a877-dd568f13b7dc · outbound

This paper cites Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.049395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5725d5-c7bf-41ee-bc3f-4253e987efec · outbound

This paper cites Non-parallel Emotion Conversion using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Non-parallel Emotion Conversion using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:13:47.135146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c66c6c6c-e88d-401a-be4f-c386f049d6e6 · outbound

This paper cites Emotional voice conversion using multitask learning with text-to-speech,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Emotional voice conversion using multitask learning with text-to-speech,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:47.886352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 18ec0fb6-68be-4911-9794-c4920a1846e6 · outbound

This paper cites ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:13:47.399807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee0fd1e1-347e-4c0a-96a4-1581b67766f6 · outbound

This paper cites Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.218658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d556e4e-b33c-4914-a42e-bdf1427f02a9 · outbound

This paper cites Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.229017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda8fe2d-6d4e-47e0-a564-abf7164d6c1a · outbound

This paper cites Emotion intensity and its control for emotional voice conversion,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Emotion intensity and its control for emotional voice conversion,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.316657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de4f306b-fbef-4b9d-b260-a03ce487a8d3 · outbound

This paper cites To- ward any-to-any emotion voice conversion using disentangled dif- fusion framework,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech To- ward any-to-any emotion voice conversion using disentangled dif- fusion framework,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.337942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b908d3-bc05-4ccb-92a5-a7a781e46890 · outbound

This paper cites Hybridformer: Improving squeezeformer with hybrid attention and nsr mecha- nism,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Hybridformer: Improving squeezeformer with hybrid attention and nsr mecha- nism,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:47.672151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f78e272-81a0-4e33-a8ec-0120324f6373 · outbound

This paper cites StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.346843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcac195d-39af-48a9-8470-e423da9c24ec · outbound

This paper cites Zero-Shot Voice Conversion via Content-Aware Timbre Ensemble and Conditional Flow Matching.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Zero-Shot Voice Conversion via Content-Aware Timbre Ensemble and Conditional Flow Matching

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.457188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a77d93-ae6d-4436-84ee-fd87dfd2d419 · outbound

This paper cites BigVGAN: A Universal Neural Vocoder with Large-Scale Training.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.462263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b06010-5f73-406b-9a45-8a5e76942f93 · outbound

This paper cites Clap learning audio concepts from natural language supervision,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Clap learning audio concepts from natural language supervision,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.466574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f47d558e-0cda-4286-a880-dbe20b5016da · outbound

This paper cites Gemo-clap: Gender-attribute-enhanced contrastive language- audio pretraining for accurate speech emotion recognition,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Gemo-clap: Gender-attribute-enhanced contrastive language- audio pretraining for accurate speech emotion recognition,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.471290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a13fed-b1f9-425f-958a-f2e2de5e6900 · outbound

This paper cites Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.569730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d12f18-ecc6-4787-bf02-9ed03b3b20d3 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Unsupervised Cross-lingual Representation Learning at Scale

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.608629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7039d9a-33ef-4008-b2bc-6cc3986e72e5 · outbound

This paper cites Meta-stylespeech: Multi-speaker adaptive text-to-speech generation,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Meta-stylespeech: Multi-speaker adaptive text-to-speech generation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:47.601158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 86b80600-f4a1-4adf-9fba-e1b2b416a31e · outbound

This paper cites Deep residual learning for image recognition,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Deep residual learning for image recognition,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.618221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a256fe6-cb64-4b85-96aa-17964e925c52 · outbound

This paper cites Attention is all you need,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Attention is all you need,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.750931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd721654-28f8-4062-9e97-d1991f8419f9 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Film: Visual reasoning with a general conditioning layer,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.815744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 895f996a-c5b1-4561-95c8-0133e93f0769 · outbound

This paper cites Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.821102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4211e738-a583-401c-b5d9-771ac1f3df12 · outbound

This paper cites emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.850108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ecd4be-fbc1-45e2-8776-e81bf6a49384 · outbound

This paper cites Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:46.872351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad3a691b-9d2c-41b3-9bd8-35d457b16ff0 · outbound

This paper cites Speech synthesis with mixed emotions,.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Speech synthesis with mixed emotions,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:47.459852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 18ec0fb6-68be-4911-9794-c4920a1846e6 · inbound