SOTAVerified

Voice Conversion

I remember all the summer days Drinking wine in the sunshine I hope it never leaves And I remember all the summer nights Staring at you in the moonlight I hope you never leave 'cause baby You're so good to me You have all that all that I ever need It's easy to love you So easy to love you Ooh you know it's true The best part of being with you To know you're with me It's not so hard to say It's easy to love you I remember all those winter days frozen In the cold tryin' to get you home Should I be moving in, we can be together then Remember spending all those winter nights Stayin' inside by the warm fire Yeah you gotta know that I can never let you go You and I have the rest of our lives to say It's easy to love you So easy to love you Ooh you know it's true The best part of being with you To know you're with me It's not so hard to say It's easy to love you Can anybody else see it? Mm, can anybody else see what I do? Can anybody else feel it? Oh, can anybody else feel the way I do? But now I'm with you Hard to forget all the moments when We'd be sitting there hoping it would never end 'Cause this is meant to be So baby, will you marry me? It's easy to love you So easy to love you Ooh, you know it's true The best part of being with you To know you are with me It's not so hard to say It's easy to love you You and me will be together I know our love will last forever You and me will be together I know our love will last forever You know it's true The best part of being with you You're easy to love

Source: Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 520 papers

TitleStatusHype
Region-Based Optimization in Continual Learning for Audio Deepfake DetectionCode1
A Unified Model For Voice and Accent Conversion In Speech and Singing using Self-Supervised Learning and Feature Extraction—0
StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching—0
Noro: A Noise-Robust One-shot Voice Conversion System with Hidden Speaker Representation Capabilities—0
SKQVC: One-Shot Voice Conversion by K-Means Quantization with Self-Supervised Speech Representations—0
Zero-shot Voice Conversion with Diffusion TransformersCode7
CTEFM-VC: Zero-Shot Voice Conversion Based on Content-Aware Timbre Ensemble Modeling and Flow Matching—0
Audio Deepfake Detection with Self-Supervised XLS-R and SLS ClassifierCode2
LSCodec: Low-Bitrate and Speaker-Decoupled Discrete Speech Codec—0
Improving Voice Quality in Speech Anonymization With Just Perception-Informed Losses—0
Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-ExampleCode0
Improving Data Augmentation-based Cross-Speaker Style Transfer for TTS with Singing Voice, Style Filtering, and F0 MatchingCode4
Where are we in audio deepfake detection? A systematic analysis over generative and detection modelsCode1
A Pilot Study of Applying Sequence-to-Sequence Voice Conversion to Evaluate the Intelligibility of L2 Speech Using a Native Speaker's Shadowings—0
Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling—0
Exploring synthetic data for cross-speaker style transfer in style representation based TTS—0
Textless NLP -- Zero Resource Challenge with Low Resource Compute—0
Discrete Unit based Masking for Improving Disentanglement in Voice Conversion—0
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionCode2
HLTCOE JHU Submission to the Voice Privacy Challenge 2024—0
LHQ-SVC: Lightweight and High Quality Singing Voice Conversion Modeling—0
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack—0
VC-ENHANCE: Speech Restoration with Integrated Noise Suppression and Voice Conversion—0
VoiceWukong: Benchmarking Deepfake Voice Detection—0
Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder—0
ZSDEVC: Zero-Shot Diffusion-based Emotional Voice Conversion with Disentangled Mechanism—0
FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation—0
Pureformer-VC: Non-parallel One-Shot Voice Conversion with Pure Transformer Blocks and Triplet Discriminative Training—0
USTC-KXDIGIT System Description for ASVspoof5 Challenge—0
vec2wav 2.0: Advancing Voice Conversion via Discrete Token Vocoders—0
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion—0
Progressive Residual Extraction based Pre-training for Speech Representation Learning—0
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge—0
EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models—0
MaskCycleGAN-based Whisper to Normal Speech Conversion—0
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples—0
LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency Distillation—0
Hear Your Face: Face-based voice conversion with F0 estimationCode0
VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing—0
MulliVC: Multi-lingual Voice Conversion With Cycle Consistency—0
StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion—0
Automatic Voice Identification after Speech Resynthesis using PPG—0
Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity—0
The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisation—0
Source Tracing of Audio Deepfake Systems—0
SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and EnhancementCode2
We Need Variations in Speech Generation: Sub-center Modelling for Speaker Embeddings—0
Application of ASV for Voice Identification after VC and Duration Predictor Improvement in TTS Models—0
RefXVC: Cross-Lingual Voice Conversion with Enhanced Reference Leveraging—0
DreamVoice: Text-Guided Voice Conversion—0
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All datasetsZeroSpeech 2019 EnglishLibriSpeech test-cleanVCTK

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VQ-CPCSpeaker Similarity3.8—Unverified
2VQ-VAESpeaker Similarity3.49—Unverified
#ModelMetricClaimedVerifiedStatus
1kNN-VC (prematched HiFiGAN)Character Error Rate (CER)2.96—Unverified
#ModelMetricClaimedVerifiedStatus
1DISSCTotal Length Error (TLE)0.83—Unverified