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 301–350 of 520 papers

TitleStatusHype
VoiceMixer: Adversarial Voice Style Mixup—0
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with TransformerCode1
One-shot Voice Conversion For Style Transfer Based On Speaker Adaptation—0
AC-VC: Non-parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion—0
SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and MachinesCode0
Voice Conversion Can Improve ASR in Very Low-Resource Settings—0
A Comparison of Discrete and Soft Speech Units for Improved Voice ConversionCode1
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised RepresentationsCode1
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning—0
Controllable and Interpretable Singing Voice Decomposition via Assem-VCCode1
Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion—0
Speech Enhancement-assisted Voice Conversion in Noisy Environments—0
CycleFlow: Purify Information Factors by Cycle Loss—0
FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech DetectionCode1
LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic SpeechCode1
Towards Identity Preserving Normal to Dysarthric Voice Conversion—0
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language ProcessingCode1
Toward Degradation-Robust Voice ConversionCode1
Exploring the Importance of F0 Trajectories for Speaker Anonymization using X-vectors and Neural Waveform Models—0
DeepA: A Deep Neural Analyzer For Speech And Singing Vocoding—0
S3PRL-VC: Open-source Voice Conversion Framework with Self-supervised Speech RepresentationsCode1
Towards High-fidelity Singing Voice Conversion with Acoustic Reference and Contrastive Predictive Coding—0
MediumVC: Any-to-any voice conversion using synthetic specific-speaker speeches as intermedium featuresCode1
Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter NetworksCode0
Incorporating speaker embedding and post-filter network for improving speaker similarity of personalized speech synthesis system—0
ClsVC: Learning Speech Representations with two different classification tasks.—0
Adaptive Speech Duration Modification using a Deep-Generative Framework—0
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling SchemeCode1
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio NarrationCode1
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion—0
Physiological-Physical Feature Fusion for Automatic Voice Spoofing Detection—0
RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform—0
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition—0
Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations—0
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021Code1
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice ConversionCode1
SVSNet: An End-to-end Speaker Voice Similarity Assessment ModelCode0
On Prosody Modeling for ASR+TTS based Voice Conversion—0
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data AugmentationCode0
Many-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder—0
A Deep-Bayesian Framework for Adaptive Speech Duration Modification—0
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer—0
An Objective Evaluation Framework for Pathological Speech Synthesis—0
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice ConversionCode1
Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant EnvironmentsCode0
Enriching Source Style Transfer in Recognition-Synthesis based Non-Parallel Voice Conversion—0
Pathological voice adaptation with autoencoder-based voice conversion—0
A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion—0
NVC-Net: End-to-End Adversarial Voice ConversionCode0
Learning Paralinguistic Features from Audiobooks through Style 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