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
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
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
GenVC: Self-Supervised Zero-Shot Voice Conversion—0
FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks—0
VoicePrompter: Robust Zero-Shot Voice Conversion with Voice Prompt and Conditional Flow Matching—0
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
A Unified Model For Voice and Accent Conversion In Speech and Singing using Self-Supervised Learning and Feature Extraction—0
StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching—0
Noro: A Noise-Robust One-shot Voice Conversion System with Hidden Speaker Representation Capabilities—0
SKQVC: One-Shot Voice Conversion by K-Means Quantization with Self-Supervised Speech Representations—0
CTEFM-VC: Zero-Shot Voice Conversion Based on Content-Aware Timbre Ensemble Modeling and Flow Matching—0
LSCodec: Low-Bitrate and Speaker-Decoupled Discrete Speech Codec—0
Improving Voice Quality in Speech Anonymization With Just Perception-Informed Losses—0
Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-ExampleCode0
A Pilot Study of Applying Sequence-to-Sequence Voice Conversion to Evaluate the Intelligibility of L2 Speech Using a Native Speaker's Shadowings—0
Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling—0
Exploring synthetic data for cross-speaker style transfer in style representation based TTS—0
Textless NLP -- Zero Resource Challenge with Low Resource Compute—0
Discrete Unit based Masking for Improving Disentanglement in Voice Conversion—0
LHQ-SVC: Lightweight and High Quality Singing Voice Conversion Modeling—0
HLTCOE JHU Submission to the Voice Privacy Challenge 2024—0
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack—0
VoiceWukong: Benchmarking Deepfake Voice Detection—0
VC-ENHANCE: Speech Restoration with Integrated Noise Suppression and Voice Conversion—0
Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder—0
ZSDEVC: Zero-Shot Diffusion-based Emotional Voice Conversion with Disentangled Mechanism—0
vec2wav 2.0: Advancing Voice Conversion via Discrete Token Vocoders—0
FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation—0
USTC-KXDIGIT System Description for ASVspoof5 Challenge—0
Pureformer-VC: Non-parallel One-Shot Voice Conversion with Pure Transformer Blocks and Triplet Discriminative Training—0
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion—0
Progressive Residual Extraction based Pre-training for Speech Representation Learning—0
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge—0
EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models—0
MaskCycleGAN-based Whisper to Normal Speech 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