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 176200 of 520 papers

TitleStatusHype
SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs0
Rhythm Modeling for Voice ConversionCode1
Disentanglement in a GAN for Unconditional Speech SynthesisCode1
Using joint training speaker encoder with consistency loss to achieve cross-lingual voice conversion and expressive voice conversionCode1
Deep Learning-based F0 Synthesis for Speaker Anonymization0
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion0
Two-Stage Voice Anonymization for Enhanced Privacy0
The Singing Voice Conversion Challenge 2023Code1
Automatic Speech Disentanglement for Voice Conversion using Rank Module and Speech Augmentation0
LM-VC: Zero-shot Voice Conversion via Speech Generation based on Language Models0
DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic ModelCode1
ALO-VC: Any-to-any Low-latency One-shot Voice Conversion0
Voice Conversion With Just Nearest NeighborsCode2
Make-A-Voice: Unified Voice Synthesis With Discrete Representation0
Creating Personalized Synthetic Voices from Post-Glossectomy Speech with Guided Diffusion Models0
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice ConversionCode2
Iteratively Improving Speech Recognition and Voice Conversion0
DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding0
Data Augmentation for Diverse Voice Conversion in Noisy Environments0
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion0
Multi-level Temporal-channel Speaker Retrieval for Zero-shot Voice Conversion0
AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment0
Evaluation of Speaker Anonymization on Emotional Speech0
Self-Supervised Representations for Singing Voice Conversion0
Show:102550
← PrevPage 8 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