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 251–300 of 520 papers

TitleStatusHype
Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices—0
AutoCycle-VC: Towards Bottleneck-Independent Zero-Shot Cross-Lingual 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
VITS-Based Singing Voice Conversion Leveraging Whisper and multi-scale F0 Modeling—0
DualVC 2: Dynamic Masked Convolution for Unified Streaming and Non-Streaming Voice Conversion—0
Towards General-Purpose Text-Instruction-Guided Voice Conversion—0
The Impact of Silence on Speech Anti-Spoofing—0
Face-Driven Zero-Shot Voice Conversion with Memory-based Face-Voice Alignment—0
PromptVC: Flexible Stylistic Voice Conversion in Latent Space Driven by Natural Language Prompts—0
Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses—0
Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech—0
Parallel and Limited Data Voice Conversion Using Stochastic Variational Deep Kernel Learning—0
Stylebook: Content-Dependent Speaking Style Modeling for Any-to-Any Voice Conversion using Only Speech Data—0
MSM-VC: High-fidelity Source Style Transfer for Non-Parallel Voice Conversion by Multi-scale Style Modeling—0
Learning Speech Representation From Contrastive Token-Acoustic Pretraining—0
Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations—0
Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion—0
Effects of Convolutional Autoencoder Bottleneck Width on StarGAN-based Singing Technique Conversion—0
SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs—0
Deep Learning-based F0 Synthesis for Speaker Anonymization—0
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion—0
Two-Stage Voice Anonymization for Enhanced Privacy—0
Automatic Speech Disentanglement for Voice Conversion using Rank Module and Speech Augmentation—0
LM-VC: Zero-shot Voice Conversion via Speech Generation based on Language Models—0
ALO-VC: Any-to-any Low-latency One-shot Voice Conversion—0
Make-A-Voice: Unified Voice Synthesis With Discrete Representation—0
Creating Personalized Synthetic Voices from Post-Glossectomy Speech with Guided Diffusion Models—0
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
Iteratively Improving Speech Recognition and Voice Conversion—0
DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding—0
Data Augmentation for Diverse Voice Conversion in Noisy Environments—0
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion—0
Multi-level Temporal-channel Speaker Retrieval for Zero-shot Voice Conversion—0
AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment—0
Evaluation of Speaker Anonymization on Emotional Speech—0
Self-Supervised Representations for Singing Voice Conversion—0
A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion—0
Cross-modal Face- and Voice-style Transfer—0
Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion—0
Nonparallel Emotional Voice Conversion For Unseen Speaker-Emotion Pairs Using Dual Domain Adversarial Network & Virtual Domain Pairing—0
ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations—0
Modelling low-resource accents without accent-specific TTS frontend—0
UnifySpeech: A Unified Framework for Zero-shot Text-to-Speech and Voice Conversion—0
VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion—0
Disentangling Prosody Representations with Unsupervised Speech Reconstruction—0
Disentangled Feature Learning for Real-Time Neural Speech Coding—0
Audio Anti-spoofing Using a Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning—0
Delivering Speaking Style in Low-resource Voice Conversion with Multi-factor Constraints—0
Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder—0
Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features—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