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

Showing 76100 of 520 papers

TitleStatusHype
Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence ModelingCode1
Evaluating Methods for Ground-Truth-Free Foreign Accent ConversionCode1
F0-consistent many-to-many non-parallel voice conversion via conditional autoencoderCode1
DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic ModelCode1
CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech ConversionCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipelineCode1
FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech DetectionCode1
Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGANCode1
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling SchemeCode1
Improving fairness for spoken language understanding in atypical speech with Text-to-SpeechCode1
Defending Your Voice: Adversarial Attack on Voice ConversionCode1
LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic SpeechCode1
Controllable and Interpretable Singing Voice Decomposition via Assem-VCCode1
ControlVC: Zero-Shot Voice Conversion with Time-Varying Controls on Pitch and SpeedCode1
Anonymizing Speech: Evaluating and Designing Speaker Anonymization TechniquesCode1
DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice ConversionCode1
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in FramesCode1
Disentanglement in a GAN for Unconditional Speech SynthesisCode1
AutoVisual Fusion Suite: A Comprehensive Evaluation of Image Segmentation and Voice Conversion Tools on HuggingFace PlatformCode1
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with TransformerCode1
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversionCode1
crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational AutoencoderCode1
A unified one-shot prosody and speaker conversion system with self-supervised discrete speech unitsCode1
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram ConversionCode1
Show:102550
← PrevPage 4 of 21Next →

Benchmark Results

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