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 1–50 of 520 papers

TitleStatusHype
RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding—0
Training-Free Voice Conversion with Factorized Optimal TransportCode1
CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition—0
Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion—0
StarVC: A Unified Auto-Regressive Framework for Joint Text and Speech Generation in Voice Conversion—0
LinearVC: Linear transformations of self-supervised features through the lens of voice conversion—0
Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric SpeechCode0
SALF-MOS: Speaker Agnostic Latent Features Downsampled for MOS Prediction—0
Rhythm Controllable and Efficient Zero-Shot Voice Conversion via Shortcut Flow Matching—0
PseudoVC: Improving One-shot Voice Conversion with Pseudo Paired Data—0
Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification—0
Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion—0
A Perception-Based L2 Speech Intelligibility Indicator: Leveraging a Rater's Shadowing and Sequence-to-sequence Voice Conversion—0
When Humans Growl and Birds Speak: High-Fidelity Voice Conversion from Human to Animal and Designed Sounds—0
REWIND: Speech Time Reversal for Enhancing Speaker Representations in Diffusion-based Voice Conversion—0
PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts—0
VibE-SVC: Vibrato Extraction with High-frequency F0 Contour for Singing Voice Conversion—0
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis—0
Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation—0
Private kNN-VC: Interpretable Anonymization of Converted SpeechCode0
EZ-VC: Easy Zero-shot Any-to-Any Voice Conversion—0
Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource LanguagesCode0
ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech—0
Investigating self-supervised features for expressive, multilingual voice conversion—0
Discrete Optimal Transport and Voice Conversion—0
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements—0
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning—0
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion—0
Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder—0
Mitigating Timbre Leakage with Universal Semantic Mapping Residual Block for Voice Conversion—0
kNN-SVC: Robust Zero-Shot Singing Voice Conversion with Additive Synthesis and Concatenation Smoothness OptimizationCode1
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR—0
Playing with Voices: Tabletop Role-Playing Game Recordings as a Diarization ChallengeCode0
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech—0
Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement—0
Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features—0
FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks—0
GenVC: Self-Supervised Zero-Shot Voice Conversion—0
Metis: A Foundation Speech Generation Model with Masked Generative Pre-trainingCode9
VoicePrompter: Robust Zero-Shot Voice Conversion with Voice Prompt and Conditional Flow Matching—0
Overview of the Amphion Toolkit (v0.2)Code9
Stepback: Enhanced Disentanglement for Voice Conversion via Multi-Task Learning—0
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation—0
Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR—0
Speech Synthesis along Perceptual Voice Quality Dimensions—0
Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives—0
ZSVC: Zero-shot Style Voice Conversion with Disentangled Latent Diffusion Models and Adversarial Training—0
Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools—0
AdaptVC: High Quality Voice Conversion with Adaptive Learning—0
EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion—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