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 151–200 of 520 papers

TitleStatusHype
AC-VC: Non-parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion—0
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion—0
CTEFM-VC: Zero-Shot Voice Conversion Based on Content-Aware Timbre Ensemble Modeling and Flow Matching—0
ALO-VC: Any-to-any Low-latency One-shot Voice Conversion—0
Automatic Voice Identification after Speech Resynthesis using PPG—0
Cross-speaker style transfer for text-to-speech using data augmentation—0
Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation—0
Crossmodal Voice Conversion—0
A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment—0
AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment—0
High-quality nonparallel voice conversion based on cycle-consistent adversarial network—0
Cross-modal Face- and Voice-style Transfer—0
Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation—0
Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech—0
Creating Personalized Synthetic Voices from Post-Glossectomy Speech with Guided Diffusion Models—0
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis—0
A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion—0
A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech—0
Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools—0
AE-Flow: AutoEncoder Normalizing Flow—0
Learning Speech Representation From Contrastive Token-Acoustic Pretraining—0
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation—0
CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition—0
High Fidelity Speech Regeneration with Application to Speech Enhancement—0
HLTCOE JHU Submission to the Voice Privacy Challenge 2024—0
Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder—0
ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion—0
Are disentangled representations all you need to build speaker anonymization systems?—0
FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation—0
FastVC: Fast Voice Conversion with non-parallel data—0
Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model—0
Adversarial Transformation of Spoofing Attacks for Voice Biometrics—0
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion—0
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning—0
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos—0
SongBsAb: A Dual Prevention Approach against Singing Voice Conversion based Illegal Song Covers—0
FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks—0
Face-Driven Zero-Shot Voice Conversion with Memory-based Face-Voice Alignment—0
Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion—0
EZ-VC: Easy Zero-shot Any-to-Any Voice Conversion—0
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer—0
Comparison of Speech Representations for the MOS Prediction System—0
Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations—0
Generalization of Spectrum Differential based Direct Waveform Modification for Voice Conversion—0
A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion—0
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements—0
Adversarial speech for voice privacy protection from Personalized Speech generation—0
Creating New Voices using Normalizing Flows—0
GenVC: Self-Supervised Zero-Shot Voice Conversion—0
Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features—0
Show:102550
← PrevPage 4 of 11Next →
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