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StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

https://doi.org/10.1109/slt.2018.8639535

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot

Generative Adversarial Nets

inferredcites →https://doi.org/10.1016/j.specom.2007.05.001openalex-snapshot

Improving the intelligibility of dysarthric speech

inferredcites →https://doi.org/10.1016/j.specom.2008.09.006openalex-snapshot

Data-driven emotion conversion in spoken English

inferredcites →https://doi.org/10.1016/j.specom.2011.07.007openalex-snapshot

Speaking-aid systems using GMM-based voice conversion for electrolaryngeal speech

inferredcites →https://doi.org/10.1109/89.661472openalex-snapshot

Continuous probabilistic transform for voice conversion

inferredcites →https://doi.org/10.1109/apsipa.2016.7820786openalex-snapshot

Voice conversion from non-parallel corpora using variational auto-encoder

inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot

Image-to-Image Translation with Conditional Adversarial Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00916openalex-snapshot

StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

inferredcites →https://doi.org/10.1109/fskd.2007.347openalex-snapshot

High Quality Voice Conversion through Phoneme-Based Linear Mapping Functions with STRAIGHT for Mandarin

inferredcites →https://doi.org/10.1109/icassp.1998.674423openalex-snapshot

Spectral voice conversion for text-to-speech synthesis

inferredcites →https://doi.org/10.1109/icassp.2015.7178896openalex-snapshot

Voice conversion using deep Bidirectional Long Short-Term Memory based Recurrent Neural Networks

inferredcites →https://doi.org/10.1109/icassp.2017.7953090openalex-snapshot

Generative adversarial network-based postfilter for statistical parametric speech synthesis

inferredcites →https://doi.org/10.1109/icassp.2017.7953215openalex-snapshot

Non-parallel voice conversion using i-vector PLDA: towards unifying speaker verification and transformation

inferredcites →https://doi.org/10.1109/icassp.2018.8461384openalex-snapshot

Non-Parallel Voice Conversion Using Variational Autoencoders Conditioned by Phonetic Posteriorgrams and D-Vectors

inferredcites →https://doi.org/10.1109/icassp.2018.8461746openalex-snapshot

Deep Clustering with Gated Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

inferredcites →https://doi.org/10.1109/iccv.2017.310openalex-snapshot

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

inferredcites →https://doi.org/10.1109/slt.2014.7078543openalex-snapshot

Voice conversion using deep neural networks with speaker-independent pre-training

inferredcites →https://doi.org/10.1109/tasl.2007.907344openalex-snapshot

Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory

inferredcites →https://doi.org/10.1109/tasl.2010.2041113openalex-snapshot

Evaluation of Expressive Speech Synthesis With Voice Conversion and Copy Resynthesis Techniques

inferredcites →https://doi.org/10.1109/tasl.2010.2041699openalex-snapshot

Voice Conversion Using Partial Least Squares Regression

inferredcites →https://doi.org/10.1109/tasl.2010.2047683openalex-snapshot

Spectral Mapping Using Artificial Neural Networks for Voice Conversion

inferredcites →https://doi.org/10.1109/tasl.2010.2064307openalex-snapshot

Front-End Factor Analysis for Speaker Verification

inferredcites →https://doi.org/10.1109/tasl.2012.2205241openalex-snapshot

Statistical Voice Conversion Techniques for Body-Conducted Unvoiced Speech Enhancement

inferredcites →https://doi.org/10.1109/taslp.2014.2333242openalex-snapshot

Exemplar-Based Sparse Representation With Residual Compensation for Voice Conversion

inferredcites →https://doi.org/10.1109/taslp.2014.2353991openalex-snapshot

Voice Conversion Using Deep Neural Networks With Layer-Wise Generative Training

inferredcites →https://doi.org/10.1109/taslp.2017.2761547openalex-snapshot

Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks

inferredcites →https://doi.org/10.1587/transfun.e96.a.1946openalex-snapshot

Exemplar-Based Voice Conversion Using Sparse Representation in Noisy Environments

inferredcites →https://doi.org/10.1587/transinf.2015edp7457openalex-snapshot

WORLD: A Vocoder-Based High-Quality Speech Synthesis System for Real-Time Applications

inferredcites →https://doi.org/10.1587/transinf.2017edl8034openalex-snapshot

Voice Conversion Using Input-to-Output Highway Networks

inferredcites →https://doi.org/10.1587/transinf.e97.d.1403openalex-snapshot

Voice Conversion Based on Speaker-Dependent Restricted Boltzmann Machines

inferredcites →https://doi.org/10.21437/interspeech.2014-447openalex-snapshot

High-order sequence modeling using speaker-dependent recurrent temporal restricted boltzmann machines for voice conversion

inferredcites →https://doi.org/10.21437/interspeech.2016-116openalex-snapshot

A KL Divergence and DNN-Based Approach to Voice Conversion without Parallel Training Sentences

inferredcites →https://doi.org/10.21437/interspeech.2016-1183openalex-snapshot

Modeling and Transforming Speech Using Variational Autoencoders

inferredcites →https://doi.org/10.21437/interspeech.2017-1428openalex-snapshot

SEGAN: Speech Enhancement Generative Adversarial Network

inferredcites →https://doi.org/10.21437/interspeech.2017-63openalex-snapshot

Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks

inferredcites →https://doi.org/10.21437/interspeech.2017-961openalex-snapshot

Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus

inferredcites →https://doi.org/10.21437/interspeech.2017-962openalex-snapshot

Generative Adversarial Network-Based Postfilter for STFT Spectrograms

inferredcites →https://doi.org/10.21437/interspeech.2017-970openalex-snapshot

Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks

inferredcites →https://doi.org/10.21437/odyssey.2018-28openalex-snapshot

The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

inferredcites →https://doi.org/10.23919/eusipco.2018.8553396openalex-snapshot

Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram

inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot

GAN（Generative Adversarial Nets）

inferredcites →https://doi.org/10.4230/lipics.wabi.2019.10openalex-snapshot

Jointly Embedding Multiple Single-Cell Omics Measurements

inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot

Auto-Encoding Variational Bayes

inferredcites →https://doi.org/10.48550/arxiv.1406.5298openalex-snapshot

Semi-Supervised Learning with Deep Generative Models

inferredcites →https://doi.org/10.48550/arxiv.1609.03499openalex-snapshot

WaveNet: A Generative Model for Raw Audio

inferredcites →https://doi.org/10.48550/arxiv.1612.08083openalex-snapshot

Language Modeling with Gated Convolutional Networks

inferredcites →https://doi.org/10.48550/arxiv.1703.05192openalex-snapshot

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

inferredcites →https://doi.org/10.48550/arxiv.1711.00937openalex-snapshot

Neural Discrete Representation Learning

inferredcites →https://doi.org/10.48550/arxiv.1711.10433openalex-snapshot

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

inferredcites →https://doi.org/10.48550/arxiv.1711.11293openalex-snapshot

Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks

inferredcites →https://doi.org/10.48550/arxiv.1806.02169openalex-snapshot

StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Mel-S3r: Combining Mel-Spectrogram and Self-Supervised Speech Representation for Voice Conversion

inferred← citeshttps://doi.org/10.2139/ssrn.4798860openalex-extracted

Hvqu$^{2}$-Vc: A One Shot Voice Conversion by Integrating Hierarchical Vector Quantization and Nested U-Net Structure

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Interaction with the Soundscape: Exploring Emotional Audio Generation for Improved Individual Wellbeing

inferred← citeshttps://doi.org/10.1007/978-3-030-66151-9_5openalex-snapshot

StarGAN-ZSVC: Towards Zero-Shot Voice Conversion in Low-Resource Contexts

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WINVC: One-Shot Voice Conversion with Weight Adaptive Instance Normalization

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Arbitrary Voice Conversion via Adversarial Learning and Cycle Consistency Loss

inferred← citeshttps://doi.org/10.1007/978-3-031-13829-4_50openalex-snapshot

MGVC: A Mask Voice Conversion Using Generating Adversarial Training

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Voice Conversion Using Learnable Similarity-Guided Masked Autoencoder

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Boosting StarGANs for Voice Conversion with Contrastive Discriminator

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Voice Conversion with Denoising Diffusion Probabilistic GAN Models

inferred← citeshttps://doi.org/10.1007/978-3-031-64070-4_19openalex-snapshot

A Comprehensive Analysis on Features and Performance Evaluation Metrics in Audio-Visual Voice Conversion

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Voice Privacy in Speech Systems: A Comparative Study of Pitch Shifting and StarGAN-VC

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Dataset Generation for Studying Deepfake Content (or Not) with AI Techniques

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UniDaugMamba: A Unimodal Data-Augmented Mamba for Speech-Based Depression Detection

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USIAL-VC: A One-Shot Voice Conversion by U-Net-Based Encoder and Speaker Identity Adaptive Learning

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RE-VC: Robust Zero-Shot Voice Conversion Model for Realistic Environments

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An Improved System for Partially Fake Audio Detection Using Pre-trained Model

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Audio Style Transfer Using a Modified Lightweight TimbreTron Pipeline

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NVCGAN: Leveraging Generative Adversarial Networks for Robust Voice Conversion

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Beyond Text-to-Speech Synthesis

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Improving Voice Style Conversion via Self-attention VAE with Feature Disentanglement

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Non-parallel Voice Conversion Based on Perceptual Star Generative Adversarial Network

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One-Shot Voice Conversion Based on Style Generative Adversarial Networks with ESR and DSNet

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Multimodal dance style transfer

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Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

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Audio-visual speech synthesis using vision transformer–enhanced autoencoders with ensemble of loss functions

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DNN-Based Cross-Lingual Voice Conversion Using Bottleneck Features

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WaveVC: Speech and Fundamental Frequency Consistent Raw Audio Voice Conversion

inferred← citeshttps://doi.org/10.1007/s11760-025-04236-yopenalex-snapshot

Zero-shot non-parallel voice conversion using auto-encoder and adaptive instance normalization

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Emotion Speech Synthesis Method Based on Multi-Channel Time–Frequency Domain Generative Adversarial Networks (MC-TFD GANs) and Mixup

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GAN-AraEmo: Generative Data Augmentation for Low-Resource Arabic Speech Emotion Recognition

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A Combinatorial Approach to Synthetic Data Generation for Machine Learning

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Electrolaryngeal speech enhancement based on a two stage framework with bottleneck feature refinement and voice conversion

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CIGAN: rehabilitation-oriented few-shot speech separation for cocktail party problem in Cochlear implant users

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Deepfakes: A comprehensive survey on techniques, challenges and future directions

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MASS: Multi-task anthropomorphic speech synthesis framework

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Generative adversarial networks for speech processing: A review

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A Multidomain Generative Adversarial Network for Hoarse-to-Normal Voice Conversion

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A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots

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Utterance Style Transfer Using Deep Models

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Data augmentation based non-parallel voice conversion with frame-level speaker disentangler

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Zero-shot voice conversion based on feature disentanglement

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Emotion recognition from speech with StarGAN and Dense‐DCNN

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Improved surrogates in inertial confinement fusion with manifold and cycle consistencies

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Brand-new Speech Animation Technology based on First Order Motion Model and MelGAN-VC

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Lip Reading using CNN Lip Deflection Classifier and GAN Two-Stage Lip Corrector

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Acoustic Modeling Based on Deep Learning for Low-Resource Speech Recognition: An Overview

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Silent Speech Interfaces for Speech Restoration: A Review

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One-Shot Voice Conversion Algorithm Based on Representations Separation

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Generative Adversarial Networks in Human Emotion Synthesis: A Review

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Many-to-Many Unsupervised Speech Conversion From Nonparallel Corpora

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Cross-Lingual Voice Conversion With Controllable Speaker Individuality Using Variational Autoencoder and Star Generative Adversarial Network

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Sequence-to-Sequence Emotional Voice Conversion With Strength Control

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Jointly Trained Conversion Model With LPCNet for Any-to-One Voice Conversion Using Speaker-Independent Linguistic Features

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Non-Parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder

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ADL-GAN: Data Augmentation to Improve In-the-Wild ADL Recognition Using GANs

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TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection

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Perturbation AUTOVC: Voice Conversion From Perturbation and Autoencoder Loss

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Deepfake Generation and Detection: Case Study and Challenges

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MetricCycleGAN-VC: Forcing CycleGAN-Based Voice Conversion Systems to Associate With Objective Quality Metrics

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Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms

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On the Potential of Modular Voice Conversion for Virtual Agents

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A Noval Text To Speech Conversion Using Hierarchical Neural Network

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Enhancing Zero-Shot Many to Many Voice Conversion via Self-Attention VAE with Structurally Regularized Layers

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Novel Adaptive Generative Adversarial Network for Voice Conversion

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GPGAN-VC: Enhancing Voice Conversion using Gradient Penalty

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Reference-Free Adversarial Sex Obfuscation in Speech

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Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-Gans

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On the Study of Generative Adversarial Networks for Cross-Lingual Voice Conversion

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Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer

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Reconstructing Dual Learning for Neural Voice Conversion Using Relatively Few Samples

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TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training

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Towards General-Purpose Text-Instruction-Guided Voice Conversion

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Rapidly Adapting to New Voice Spoofing: Few-Shot Detection of Synthesized Speech Under Distribution Shifts

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Eliminating Data Collection Bottleneck for Wake Word Engine Training Using Found and Synthetic Data

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Non-Parallel Voice Conversion Using Cycle-Consistent Adversarial Networks with Self-Supervised Representations

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Style-transfer Autoencoder for Efficient Deep Voice Conversion

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Interpretable Audio Deepfake Detection via Gradient-Guided Temporal Visualization on AASIST3

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Speaker Anonymity and Voice Conversion Vulnerability: A Speaker Recognition Analysis

inferred← citeshttps://doi.org/10.1109/giis69881.2026.11585740openalex-snapshot

PrivSpeech: A Declarative Framework for Privacy-Preserving Speech Analytics

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Singing Voice Conversion Based on WD-GAN Algorithm

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Non-Parallel Voice Conversion System Using An Auto-Regressive Model

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Who is Authentic Speaker?

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SynthPipe : AI based Human in the Loop Video Dubbing Pipeline

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Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion

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Cycle-GANs for Domain Adaptation of Acoustic Features for Speaker Recognition

inferred← citeshttps://doi.org/10.1109/icassp.2019.8683282openalex-snapshot

ATTS2S-VC: Sequence-to-sequence Voice Conversion with Attention and Context Preservation Mechanisms

inferred← citeshttps://doi.org/10.1109/icassp.2019.8683654openalex-snapshot

Perceptually-motivated Environment-specific Speech Enhancement

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413400openalex-snapshot

Semi-Supervised Learning for Singing Synthesis Timbre

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Non-Parallel Many-To-Many Voice Conversion Using Local Linguistic Tokens

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Fragmentvc: Any-To-Any Voice Conversion by End-To-End Extracting and Fusing Fine-Grained Voice Fragments with Attention

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413959openalex-snapshot

Crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414257openalex-snapshot

Again-VC: A One-Shot Voice Conversion Using Activation Guidance and Adaptive Instance Normalization

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414757openalex-snapshot

Non-Parallel Many-To-Many Voice Conversion by Knowledge Transfer from a Text-To-Speech Model

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414851openalex-snapshot

Maskcyclegan-VC: Learning Non-Parallel Voice Conversion with Filling in Frames

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414975openalex-snapshot

Zero-Shot Voice Conversion with Adjusted Speaker Embeddings and Simple Acoustic Features

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9415042openalex-snapshot

Towards Low-Resource Stargan Voice Conversion Using Weight Adaptive Instance Normalization

inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9053726openalex-snapshot

Many-To-Many Voice Conversion Using Conditional Cycle-Consistent Adversarial Networks

inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9053842openalex-snapshot

One-Shot Voice Conversion Using Star-Gan

inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9053854openalex-snapshot

One-Shot Voice Conversion by Vector Quantization

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Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers

inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054523openalex-snapshot

Voice Conversion with Transformer Network

inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054534openalex-snapshot

Multi-Speaker and Multi-Domain Emotional Voice Conversion Using Factorized Hierarchical Variational Autoencoder

inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054579openalex-snapshot

Stargan for Emotional Speech Conversion: Validated by Data Augmentation of End-To-End Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054582openalex-snapshot

Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746164openalex-snapshot

Time Domain Adversarial Voice Conversion for ADD 2022

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746369openalex-snapshot

Avqvc: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746484openalex-snapshot

A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746636openalex-snapshot

Toward Degradation-Robust Voice Conversion

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746698openalex-snapshot

Vocbench: A Neural Vocoder Benchmark for Speech Synthesis

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746992openalex-snapshot

U-GAT-VC: Unsupervised Generative Attentional Networks for Non-Parallel Voice Conversion

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747020openalex-snapshot

NVC-Net: End-To-End Adversarial Voice Conversion

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747140openalex-snapshot

Improving Recognition-Synthesis Based any-to-one Voice Conversion with Cyclic Training

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747272openalex-snapshot

Robust Disentangled Variational Speech Representation Learning for Zero-Shot Voice Conversion

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747743openalex-snapshot

Training Robust Zero-Shot Voice Conversion Models with Self-Supervised Features

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747755openalex-snapshot

Noise-Robust Speech Recognition With 10 Minutes Unparalleled In-Domain Data

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446264openalex-snapshot

A Study on Combining Non-Parallel and Parallel Methodologies for Mandarin-English Cross-Lingual Voice Conversion

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10094698openalex-snapshot

Stargan-vc Based Cross-Domain Data Augmentation for Speaker Verification

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10094969openalex-snapshot

Learning Speech Representations with Flexible Hidden Feature Dimensions

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096233openalex-snapshot

Transplayer: Timbre Style Transfer with Flexible Timbre Control

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096642openalex-snapshot

TriAAN-VC: Triple Adaptive Attention Normalization for Any-to-Any Voice Conversion

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096733openalex-snapshot

Identifying Source Speakers for Voice Conversion Based Spoofing Attacks on Speaker Verification Systems

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096901openalex-snapshot

JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887732openalex-snapshot

SYKI-SVC: Advancing Singing Voice Conversion with Post-Processing Innovations and an Open-Source Professional Testset

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890188openalex-snapshot

WaveSpect: A Hybrid Approach to Synthetic Audio Detection via Waveform and Spectrogram Analysis

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890708openalex-snapshot

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460769openalex-snapshot

MeanVoiceFlow: One-Step Nonparallel Voice Conversion with Mean Flows

inferred← citeshttps://doi.org/10.1109/icasspw62465.2024.10627128openalex-snapshot

Investigating Self-Supervised Features for Expressive, Multilingual Voice Conversion

inferred← citeshttps://doi.org/10.1109/icbar58199.2022.00025openalex-snapshot

Study on Image-to-image Translation Based on Generative Adversarial Networks

inferred← citeshttps://doi.org/10.1109/icbase53849.2021.00086openalex-snapshot

Speech Generation by Generative Adversarial Network

inferred← citeshttps://doi.org/10.1109/iccc56324.2022.10065952openalex-snapshot

Pyramid Attention CycleGAN for Non-Parallel Voice Conversion

inferred← citeshttps://doi.org/10.1109/icci54321.2022.9756059openalex-snapshot

A Survey on Generative Adversarial Networks based Models for Many-to-many Non-parallel Voice Conversion

inferred← citeshttps://doi.org/10.1109/iceccme57830.2023.10252337openalex-snapshot

Variational auto-encoding generative model for speech to singing voice conversion

inferred← citeshttps://doi.org/10.1109/iciba50161.2020.9276871openalex-snapshot

Feature Quantization for Many-to-many Voice Conversion

inferred← citeshttps://doi.org/10.1109/iciccs48265.2020.9120898openalex-snapshot

Survey Paper:Introduction to Generative Adversarial Networks in Speech Imitation

inferred← citeshttps://doi.org/10.1109/icicn62625.2024.10761574openalex-snapshot

Expressive Voice Conversion Using Perturbation and Autoencoder Loss

inferred← citeshttps://doi.org/10.1109/icip42928.2021.9506427openalex-snapshot

Recalibrated Bandpass Filtering On Temporal Waveform For Audio Spoof Detection

inferred← citeshttps://doi.org/10.1109/icisc69558.2026.11681483openalex-snapshot

Non-Parallel Dysarthric Speech Enhancement Using CycleGAN-VC2 and Melgan with Ablation Validation

inferred← citeshttps://doi.org/10.1109/icispc63824.2024.00031openalex-snapshot

Real-Time One-Shot Voice Conversion Based on High-Order Recursive Networks

inferred← citeshttps://doi.org/10.1109/icme57554.2024.10687845openalex-snapshot

AdaStyleSpeech: A Fast Stylized Speech Synthesis Model Based on Adaptive Instance Normalization

inferred← citeshttps://doi.org/10.1109/icme59968.2025.11209789openalex-snapshot

Content-Style Disentangled Audio Style Transfer via Diffusion Model

inferred← citeshttps://doi.org/10.1109/icmew68306.2025.11152048openalex-snapshot

FSD 2.0: Improved Fake Song Dataset for Unknown-domain Deepfake Detection

inferred← citeshttps://doi.org/10.1109/icoici65217.2025.11254525openalex-snapshot

Implementation of IOT in Voice Activated Lighting System (VOCALIGHT)

inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956613openalex-snapshot

StyleVC: Non-Parallel Voice Conversion with Adversarial Style Generalization

inferred← citeshttps://doi.org/10.1109/ijcime49369.2019.00099openalex-snapshot

Research on Voice Conversion from Tibetan Amdo to U-Tsang Dialect Based on Deep Learning

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892405openalex-snapshot

Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651156openalex-snapshot

EAD-VC: Enhancing Speech Auto-Disentanglement for Voice Conversion with IFUB Estimator and Joint Text-Guided Consistent Learning

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651476openalex-snapshot

GNNAE-AVSS: Graph Neural Network Based Autoencoders for Audio-Visual Speech Synthesis

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229291openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/indicon56171.2022.10040000openalex-snapshot

An Analysis of Performance Evaluation Metrics for Voice Conversion Models

inferred← citeshttps://doi.org/10.1109/iscslp57327.2022.10037890openalex-snapshot

End-to-End Voice Conversion with Information Perturbation

inferred← citeshttps://doi.org/10.1109/isocc62682.2024.10762526openalex-snapshot

Integrating Noise Classification and Speech Enhancement Model for Hearing Aids

inferred← citeshttps://doi.org/10.1109/itnec52019.2021.9587053openalex-snapshot

IVCGAN:An Improved GAN for Voice Conversion

inferred← citeshttps://doi.org/10.1109/jbhi.2023.3239551openalex-snapshot

E-DGAN: An Encoder-Decoder Generative Adversarial Network Based Method for Pathological to Normal Voice Conversion

inferred← citeshttps://doi.org/10.1109/jproc.2023.3250266openalex-snapshot

An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era

inferred← citeshttps://doi.org/10.1109/jstsp.2020.2999185openalex-snapshot

Recurrent Convolutional Structures for Audio Spoof and Video Deepfake Detection

inferred← citeshttps://doi.org/10.1109/lgrs.2023.3338652openalex-snapshot

ConSeisGen: Controllable Synthetic Seismic Waveform Generation

inferred← citeshttps://doi.org/10.1109/lsp.2019.2961213openalex-snapshot

Voice Conversion for Whispered Speech Synthesis

inferred← citeshttps://doi.org/10.1109/mlsp49062.2020.9231555openalex-snapshot

Determined Audio Source Separation with Multichannel Star Generative Adversarial Network

inferred← citeshttps://doi.org/10.1109/msn57253.2022.00136openalex-snapshot

MetaSpeech: Speech Effects Switch Along with Environment for Metaverse

inferred← citeshttps://doi.org/10.1109/o-cocosda60357.2023.10482914openalex-snapshot

End-to-End Cross-Lingual Voice Conversion using CycleGAN for Low Resource Indian Languages

inferred← citeshttps://doi.org/10.1109/pais62114.2024.10541289openalex-snapshot

Using Transformers to Classify Arabic Dialects on Social Networks

inferred← citeshttps://doi.org/10.1109/qpain69676.2026.11545575openalex-snapshot

Detecting Audio Deepfakes by Harnessing Classical Machine Learning Algorithms

inferred← citeshttps://doi.org/10.1109/rivf60135.2023.10471830openalex-snapshot

Zero-Shot Voice Conversion Based on Speaker Embedding Domain Generalization

inferred← citeshttps://doi.org/10.1109/sccc51225.2020.9281213openalex-snapshot

Multi-OctConv: Reducing Memory Requirements in Image Generative Adversarial Networks

inferred← citeshttps://doi.org/10.1109/sitis.2019.00043openalex-snapshot

Cycle-Consistent InfoGAN for Speech Enhancement in Various Background Noises

inferred← citeshttps://doi.org/10.1109/slt.2018.8639507openalex-snapshot

Adaptive Wavenet Vocoder for Residual Compensation in GAN-Based Voice Conversion

inferred← citeshttps://doi.org/10.1109/slt.2018.8639647openalex-snapshot

Rhythm-Flexible Voice Conversion Without Parallel Data Using Cycle-GAN Over Phoneme Posteriorgram Sequences

inferred← citeshttps://doi.org/10.1109/slt48900.2021.9383498openalex-snapshot

How Far Are We from Robust Voice Conversion: A Survey

inferred← citeshttps://doi.org/10.1109/slt48900.2021.9383526openalex-snapshot

Vaw-Gan For Disentanglement And Recomposition Of Emotional Elements In Speech

inferred← citeshttps://doi.org/10.1109/slt48900.2021.9383529openalex-snapshot

Defending Your Voice: Adversarial Attack on Voice Conversion

inferred← citeshttps://doi.org/10.1109/snpd54884.2022.10051811openalex-snapshot

StyleFormerGAN-VC:Improving Effect of few shot Cross-Lingual Voice Conversion Using VAE-StarGAN and Attention-AdaIN

inferred← citeshttps://doi.org/10.1109/sp61157.2025.00235openalex-snapshot

EveGuard: Defeating Vibration-based Side-Channel Eavesdropping with Audio Adversarial Perturbations

inferred← citeshttps://doi.org/10.1109/spcom50965.2020.9179583openalex-snapshot

Effectiveness of Transfer Learning on Singing Voice Conversion in the Presence of Background Music

inferred← citeshttps://doi.org/10.1109/spcom55316.2022.9840769openalex-snapshot

Sensitivity Analysis of MaskCycleGAN based Voice Conversion for Enhancing Cleft Lip and Palate Speech Recognition

inferred← citeshttps://doi.org/10.1109/sped53181.2021.9587393openalex-snapshot

Towards Detection of Synthetic Utterances in Romanian Language Speech Forensics

inferred← citeshttps://doi.org/10.1109/swc57546.2023.10448606openalex-snapshot

MISGAN:Mutual Information-Based Unsupervised with Star-GANv2 Voice Conversion

inferred← citeshttps://doi.org/10.1109/taffc.2025.3530920openalex-snapshot

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations Without Text Alignment

inferred← citeshttps://doi.org/10.1109/tai.2022.3149858openalex-snapshot

An Adaptive-Learning-Based Generative Adversarial Network for One-to-One Voice Conversion

inferred← citeshttps://doi.org/10.1109/taslp.2019.2910637openalex-snapshot

Group Sparse Representation With WaveNet Vocoder Adaptation for Spectrum and Prosody Conversion

inferred← citeshttps://doi.org/10.1109/taslp.2019.2917232openalex-snapshot

ACVAE-VC: Non-Parallel Voice Conversion With Auxiliary Classifier Variational Autoencoder

inferred← citeshttps://doi.org/10.1109/taslp.2020.2997118openalex-snapshot

A Parallel-Data-Free Speech Enhancement Method Using Multi-Objective Learning Cycle-Consistent Generative Adversarial Network

inferred← citeshttps://doi.org/10.1109/taslp.2020.3001456openalex-snapshot

ConvS2S-VC: Fully Convolutional Sequence-to-Sequence Voice Conversion

inferred← citeshttps://doi.org/10.1109/taslp.2020.3034994openalex-snapshot

NAUTILUS: A Versatile Voice Cloning System

inferred← citeshttps://doi.org/10.1109/taslp.2020.3036784openalex-snapshot

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

inferred← citeshttps://doi.org/10.1109/taslp.2020.3038524openalex-snapshot

An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning

inferred← citeshttps://doi.org/10.1109/taslp.2020.3047262openalex-snapshot

Many-to-Many Voice Transformer Network

inferred← citeshttps://doi.org/10.1109/taslp.2021.3066047openalex-snapshot

Transfer Learning From Speech Synthesis to Voice Conversion With Non-Parallel Training Data

inferred← citeshttps://doi.org/10.1109/taslp.2021.3076867openalex-snapshot

Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

inferred← citeshttps://doi.org/10.1109/taslp.2022.3156757openalex-snapshot

Duration Controllable Voice Conversion via Phoneme-Based Information Bottleneck

inferred← citeshttps://doi.org/10.1109/taslp.2022.3190715openalex-snapshot

Decoupling Speaker-Independent Emotions for Voice Conversion via Source-Filter Networks

inferred← citeshttps://doi.org/10.1109/taslp.2023.3306714openalex-snapshot

Timbre-Reserved Adversarial Attack in Speaker Identification

inferred← citeshttps://doi.org/10.1109/taslp.2023.3306716openalex-snapshot

Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision

inferred← citeshttps://doi.org/10.1109/taslp.2023.3313414openalex-snapshot

MSM-VC: High-Fidelity Source Style Transfer for Non-Parallel Voice Conversion by Multi-Scale Style Modeling

inferred← citeshttps://doi.org/10.1109/taslp.2023.3313426openalex-snapshot

Noisy-to-Noisy Voice Conversion Under Variations of Noisy Condition

inferred← citeshttps://doi.org/10.1109/taslp.2023.3323888openalex-snapshot

Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition

inferred← citeshttps://doi.org/10.1109/taslp.2024.3379901openalex-snapshot

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion With Annealed Langevin Dynamics

inferred← citeshttps://doi.org/10.1109/taslp.2024.3407577openalex-snapshot

Multi-Level Temporal-Channel Speaker Retrieval for Zero-Shot Voice Conversion

inferred← citeshttps://doi.org/10.1109/taslp.2024.3426996openalex-snapshot

Unsupervised Face-Masked Speech Enhancement Using Generative Adversarial Networks With Human-in-the-Loop Assessment Metrics

inferred← citeshttps://doi.org/10.1109/taslpro.2025.3542288openalex-snapshot

CSA-VC: Contrastive Learning With Selective Attention in Non-Parallel Voice Conversion

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