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 201–250 of 520 papers

TitleStatusHype
GPU-Friendly Local Regression for Voice Conversion—0
Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech—0
SongBsAb: A Dual Prevention Approach against Singing Voice Conversion based Illegal Song Covers—0
Face-Driven Zero-Shot Voice Conversion with Memory-based Face-Voice Alignment—0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—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
High Fidelity Speech Regeneration with Application to Speech Enhancement—0
High-quality nonparallel voice conversion based on cycle-consistent adversarial network—0
Comparison of Speech Representations for the MOS Prediction System—0
A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion—0
Adversarial speech for voice privacy protection from Personalized Speech generation—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
Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features—0
Exploring the Importance of F0 Trajectories for Speaker Anonymization using X-vectors and Neural Waveform Models—0
Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses—0
Improving Voice Quality in Speech Anonymization With Just Perception-Informed Losses—0
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion—0
Exploring synthetic data for cross-speaker style transfer in style representation based TTS—0
Exploring data augmentation in bias mitigation against non-native-accented speech—0
Individuality-Preserving Voice Conversion for Articulation Disorders Using Locality-Constrained NMF—0
Invertible Voice Conversion—0
Investigating Inter- and Intra-speaker Voice Conversion using Audiobooks—0
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack—0
Investigating self-supervised features for expressive, multilingual voice conversion—0
A Comparative Study of Voice Conversion Models with Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023—0
Evaluation of Speaker Anonymization on Emotional Speech—0
Investigation of using disentangled and interpretable representations with language conditioning for cross-lingual voice conversion—0
IQDUBBING: Prosody modeling based on discrete self-supervised speech representation for expressive voice conversion—0
Evaluating Voice Conversion-based Privacy Protection against Informed Attackers—0
Iteratively Improving Speech Recognition and Voice Conversion—0
Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection—0
Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet—0
Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation—0
Latent linguistic embedding for cross-lingual text-to-speech and voice conversion—0
LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency Distillation—0
LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance—0
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion—0
Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion—0
Learning Paralinguistic Features from Audiobooks through Style Voice Conversion—0
Learning Singing From Speech—0
Application of ASV for Voice Identification after VC and Duration Predictor Improvement in TTS Models—0
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge—0
Error Reduction Network for DBLSTM-based Voice Conversion—0
ClsVC: Learning Speech Representations with two different classification tasks.—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