Paper Citation Record · LEDGER

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2507.04817.

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

pith.paper-citation-record.v1
2507.04817 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:43:55.149647Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:43:48.766757Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:43:55.756459Z

Reference resolution

56 of 56 outbound references displayed

verified exact3
verified fuzzy45
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6271d0e-93ee-4447-8e9c-8c940bdfcb62 · outbound

This paper cites By definition, this task requires altering vocal identity, which raises fundamental questions about what features define a speaker’s voice and how they should be manipulated.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters By definition, this task requires altering vocal identity, which raises fundamental questions about what features define a speaker’s voice and how they should be manipulated

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:06.837152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af0842b0-1efd-4025-a815-8962edf87243 · outbound

This paper cites Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T19:43:55.831971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d809919-9110-41b1-8965-7d414d95e58d · outbound

This paper cites Our goal is to design a model capable of transferring a specific utterance from one speaker to another speaker’s timbre, while relying on high-level control features.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Our goal is to design a model capable of transferring a specific utterance from one speaker to another speaker’s timbre, while relying on high-level control features

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:06.710310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5bac2929-86b9-45a4-8c98-876e6f352e73 · outbound

This paper cites an unresolved cited work.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:44:06.565441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cbab6189-76ce-48c5-9706-8e8947ce2591 · outbound

This paper cites an unresolved cited work.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:44:06.399057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b3ff3e5-3473-4fef-b0c0-fcdacb0eda78 · outbound

This paper cites an unresolved cited work.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:44:06.240199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 437f8c07-19d0-4473-bfe4-3d61edf5dffb · outbound

This paper cites an unresolved cited work.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:44:06.102820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95a59a38-4f86-4122-a4c7-4d10a4ae5ab3 · outbound

This paper cites Reimagining speech: a scoping review of deep learning-based methods for non-parallel voice conversion,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Reimagining speech: a scoping review of deep learning-based methods for non-parallel voice conversion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:05.908966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7d73e5b-8e83-44d4-8210-022251f1fe94 · outbound

This paper cites An Overview of V oice Conversion and Its Challenges: From Statistical Modeling to Deep Learning,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters An Overview of V oice Conversion and Its Challenges: From Statistical Modeling to Deep Learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:05.580677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 560a9be0-a592-4f2d-b285-b52b400aab9c · outbound

This paper cites AutoVC: Zero-Shot V oice Style Transfer with Only Autoencoder Loss,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters AutoVC: Zero-Shot V oice Style Transfer with Only Autoencoder Loss,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:05.225196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 89d3a7b5-142d-435a-abdc-0d35f6409880 · outbound

This paper cites Diffusion-Based V oice Conversion with Fast Maximum Likelihood Sampling Scheme,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Diffusion-Based V oice Conversion with Fast Maximum Likelihood Sampling Scheme,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:04.979665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e86c7ebd-20a4-4642-b691-73c56d2b0396 · outbound

This paper cites QUICKVC: A Lightweight VITS- Based Any-to-Many V oice Conversion Model using ISTFT for Faster Conversion,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters QUICKVC: A Lightweight VITS- Based Any-to-Many V oice Conversion Model using ISTFT for Faster Conversion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:04.719525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 690b77c8-df77-41cf-9365-382baaf5fd1c · outbound

This paper cites V oice Reenactment with F0 and timing constraints and adversarial learning of conversions,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters V oice Reenactment with F0 and timing constraints and adversarial learning of conversions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:04.494351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a413726-2ec9-4443-b062-9c9673b49b8e · outbound

This paper cites Highly Controllable Diffusion-based Any-to-Any Voice Conversion Model with Frame-level Prosody Feature.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Highly Controllable Diffusion-based Any-to-Any Voice Conversion Model with Frame-level Prosody Feature

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:43:55.676440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ca0df46-f346-4ee6-934f-f85cc1210acc · outbound

This paper cites HiFi-VC: High Quality ASR-based V oice Conversion,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters HiFi-VC: High Quality ASR-based V oice Conversion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:04.262943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d64400bf-cf12-4034-9d6e-a852eb9626a6 · outbound

This paper cites ControlVC: Zero-Shot V oice Conversion with Time-Varying Controls on Pitch and Speed,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters ControlVC: Zero-Shot V oice Conversion with Time-Varying Controls on Pitch and Speed,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:04.043763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34c55e29-a92e-441e-8630-627cadf2147f · outbound

This paper cites V oice quality: the 4th prosodic dimension,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters V oice quality: the 4th prosodic dimension,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:03.843020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e42942e3-7a45-4dc4-8cc6-7d8c88527247 · outbound

This paper cites Manipulating V oice Attributes by Adversarial Learning of Structured Disentangled Representations,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Manipulating V oice Attributes by Adversarial Learning of Structured Disentangled Representations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:03.683411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ca9d93d8-185c-46a6-8b20-e3225999ea28 · outbound

This paper cites End-to-End Adversarial Text-to-Speech,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters End-to-End Adversarial Text-to-Speech,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:03.391963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 65a90cea-3f05-4e5a-bf15-1b3c9eb80515 · outbound

This paper cites Disentangling prosody and timbre embeddings via voice conversion,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Disentangling prosody and timbre embeddings via voice conversion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:03.134353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67ac75a4-6da6-4e52-a106-d14451ebe706 · outbound

This paper cites Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:02.856291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a859b182-4552-4fbc-8f88-89c84b9a373c · outbound

This paper cites Disentangling prosody representations with unsupervised speech reconstruction,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Disentangling prosody representations with unsupervised speech reconstruction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:02.496682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e237feee-9d18-4493-900b-38c5941f2db3 · outbound

This paper cites Emotional Prosody Control for Speech Generation.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Emotional Prosody Control for Speech Generation

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:43:55.504763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4d2fdc4-709c-4532-8fe7-c1b85a7fa4c7 · outbound

This paper cites Advancements in real- time voice conversion technologies: A comprehensive analysis of techniques,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Advancements in real- time voice conversion technologies: A comprehensive analysis of techniques,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:02.210081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9ad8fee-aa76-441d-b646-2580fbc5cfc4 · outbound

This paper cites Robust and fine-grained prosody control of end-to-end speech synthesis,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Robust and fine-grained prosody control of end-to-end speech synthesis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:01.980137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3738cc29-7e58-4f12-a887-f8ec3f871cf5 · outbound

This paper cites Unsupervised Learning of Disentangled Speech Content and Style Representation.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Unsupervised Learning of Disentangled Speech Content and Style Representation

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:43:55.384498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 256ae7b8-ff57-43fc-97e6-081df197c138 · outbound

This paper cites Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:51.566419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 584013d7-8e97-4a90-a1ee-c099686efcf3 · outbound

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

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Conformer: Convolution-augmented Transformer for Speech Recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:01.710075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f348eb57-9108-4ad0-b18b-269a84f920fd · outbound

This paper cites WORLD: A V ocoder-Based High-Quality Speech Synthesis System for Real- Time Applications,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters WORLD: A V ocoder-Based High-Quality Speech Synthesis System for Real- Time Applications,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:01.468987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ed1deacd-7751-4fee-8a9a-98ea0b036e5d · outbound

This paper cites How far are we from robust voice conversion: A survey,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters How far are we from robust voice conversion: A survey,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:01.128481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a11979b3-da0b-4465-9b24-b7f1b589dec4 · outbound

This paper cites HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:00.785700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37ae0da2-80fa-4e81-8382-fab7ed6cb300 · outbound

This paper cites Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:52.224133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3c78abe-0557-433d-9f8d-ab6101cb3bc8 · outbound

This paper cites Diphone synthesis using an overlap-add technique for speech waveforms concatenation,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Diphone synthesis using an overlap-add technique for speech waveforms concatenation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:00.477323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation adae3760-e952-47c1-a19d-904b61801227 · outbound

This paper cites HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:00.206739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b79f8883-801b-4f8b-8ca0-63b19592220a · outbound

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

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:52.553201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cca6754-7fab-41b3-ad2c-51e73feb035e · outbound

This paper cites Fast and reliable f0 estimation method based on the period extraction of vocal fold vibration of singing voice and speech,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Fast and reliable f0 estimation method based on the period extraction of vocal fold vibration of singing voice and speech,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:59.968267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58df1813-5279-4d0c-a85a-b523ae72d9d7 · outbound

This paper cites Crepe: A Convolutional Representation for Pitch Estimation,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Crepe: A Convolutional Representation for Pitch Estimation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:59.739962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e07c0bb8-b61a-4ee7-ae28-7ab7f58b05a9 · outbound

This paper cites Fully-Convolutional Network for Pitch Estimation of Speech Signals,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Fully-Convolutional Network for Pitch Estimation of Speech Signals,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:59.551423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1ce2f2b-048c-46d7-b26a-a87c1df6d51c · outbound

This paper cites Parallel-Data-Free V oice Conversion Using Cycle-Consistent Adversarial Networks,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Parallel-Data-Free V oice Conversion Using Cycle-Consistent Adversarial Networks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:59.215285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c33e7b2e-e94d-4817-8fbf-a2a7d87de339 · outbound

This paper cites CycleGAN V oice Conversion of Spectral Envelopes using Adversarial Weights,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters CycleGAN V oice Conversion of Spectral Envelopes using Adversarial Weights,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:59.021455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation afa3d4e4-ed9d-453d-bca3-09dd40fd29fd · outbound

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

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters StarGAN-VC: Non-parallel many- to-many voice conversion using star generative adversarial networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:58.780887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74b8b7af-12e2-4549-bbfe-d8fa8cd42606 · outbound

This paper cites StarGAN-VC2: Rethinking conditional methods for stargan-based voice conversion,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters StarGAN-VC2: Rethinking conditional methods for stargan-based voice conversion,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:58.567884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a96cc1b0-cf41-42f6-88fa-9955e9982843 · outbound

This paper cites Nvc-net: End-to-end adversarial voice conversion,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Nvc-net: End-to-end adversarial voice conversion,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:58.362880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da8c866d-87e4-475e-b11b-fd9d3b7c4535 · outbound

This paper cites Avqvc: One-shot voice conversion by vector quantization with applying contrastive learning,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Avqvc: One-shot voice conversion by vector quantization with applying contrastive learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:58.120965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c857043d-300d-4972-b513-066c7130b297 · outbound

This paper cites Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:57.825406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 364c84bd-56c3-4de2-b9ef-0051c4559976 · outbound

This paper cites DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust V oice Conversion,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust V oice Conversion,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:57.533601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67904853-c112-45f9-bf9d-2afbc5cd2bb2 · outbound

This paper cites Neural V ocoding for Singing and Speaking V oices with the Multi-Band Excited WaveNet,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Neural V ocoding for Singing and Speaking V oices with the Multi-Band Excited WaveNet,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:57.217083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b3746af1-f5fc-446f-8e52-ae36e5fdb0c5 · outbound

This paper cites Revisiting Over- Smoothness in Text to Speech,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Revisiting Over- Smoothness in Text to Speech,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:57.091318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e28989d2-8a53-47af-9f1b-184d800c612a · outbound

This paper cites On temporal constraints for deep neural voice alignment,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters On temporal constraints for deep neural voice alignment,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.953867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9140faf-69ab-42d4-baa8-2b65c86dcafa · outbound

This paper cites Festival speech synthesis system: system documentation (1.1. 1),.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Festival speech synthesis system: system documentation (1.1. 1),

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.821804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc897052-b2c6-4b4b-a68c-2c4d2b2cffd3 · outbound

This paper cites LIA—PHON: Un syst `eme complet de phon ´etisation de textes,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters LIA—PHON: Un syst `eme complet de phon ´etisation de textes,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.680698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc158ba4-00be-4bec-b29a-1f02963eae5e · outbound

This paper cites CSTR VCTK Corpus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters CSTR VCTK Corpus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.567096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation adfd286b-ff4a-4705-ac36-3bc217e514ec · outbound

This paper cites EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.424226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6bc563d-2349-447a-bc8c-bcf0cbf2d8a2 · outbound

This paper cites Speech Synthesis with Mixed Emotions,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Speech Synthesis with Mixed Emotions,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.274757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0b1a794-6b15-4fdf-ba98-645d325cf3c2 · outbound

This paper cites Seen and unseen emotional style transfer for voice conversion with a new emotional speech dataset,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Seen and unseen emotional style transfer for voice conversion with a new emotional speech dataset,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.108651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58f9026d-b06a-4b57-b1fe-a0b5f942f944 · outbound

This paper cites Sequence-to-Sequence Moelling OF F0 For Speech Emotion Conversion,.

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters Sequence-to-Sequence Moelling OF F0 For Speech Emotion Conversion,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:55.983227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation af0842b0-1efd-4025-a815-8962edf87243 · inbound