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 451–500 of 520 papers

TitleStatusHype
DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion—0
DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding—0
Effects of Convolutional Autoencoder Bottleneck Width on StarGAN-based Singing Technique Conversion—0
EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models—0
EmoCat: Language-agnostic Emotional Voice Conversion—0
EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion—0
Emotion Intensity and its Control for Emotional Voice Conversion—0
End-to-End Voice Conversion with Information Perturbation—0
Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations—0
Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE—0
Enriching Source Style Transfer in Recognition-Synthesis based Non-Parallel Voice Conversion—0
Error Reduction Network for DBLSTM-based Voice Conversion—0
Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation—0
Evaluating Voice Conversion-based Privacy Protection against Informed Attackers—0
Evaluation of Speaker Anonymization on Emotional Speech—0
Exploring data augmentation in bias mitigation against non-native-accented speech—0
Exploring synthetic data for cross-speaker style transfer in style representation based TTS—0
Exploring the Importance of F0 Trajectories for Speaker Anonymization using X-vectors and Neural Waveform Models—0
Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features—0
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer—0
EZ-VC: Easy Zero-shot Any-to-Any Voice Conversion—0
Face-Driven Zero-Shot Voice Conversion with Memory-based Face-Voice Alignment—0
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos—0
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning—0
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion—0
FastVC: Fast Voice Conversion with non-parallel data—0
FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation—0
FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks—0
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation—0
Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations—0
Generalization of Spectrum Differential based Direct Waveform Modification for Voice Conversion—0
Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools—0
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements—0
GenVC: Self-Supervised Zero-Shot Voice Conversion—0
GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion—0
GPU-Friendly Local Regression for Voice Conversion—0
Hierarchical disentangled representation learning for singing voice conversion—0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
High Fidelity Speech Regeneration with Application to Speech Enhancement—0
High-quality nonparallel voice conversion based on cycle-consistent adversarial network—0
HLTCOE JHU Submission to the Voice Privacy Challenge 2024—0
How Far Are We from Robust Voice Conversion: A Survey—0
Identifying Source Speakers for Voice Conversion based Spoofing Attacks on Speaker Verification Systems—0
Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion—0
Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder—0
Improve few-shot voice cloning using multi-modal learning—0
Improving child speech recognition with augmented child-like speech—0
Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses—0
Improving Voice Quality in Speech Anonymization With Just Perception-Informed Losses—0
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning—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