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
TriAAN-VC: Triple Adaptive Attention Normalization for Any-to-Any Voice ConversionCode1
Cross-modal Face- and Voice-style Transfer—0
A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion—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
M4Singer: a Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing CorpusCode2
StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS ModelsCode1
VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion—0
Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsCode1
Disentangling Prosody Representations with Unsupervised Speech Reconstruction—0
SpeechLMScore: Evaluating speech generation using speech language modelCode1
Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipelineCode1
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
A unified one-shot prosody and speaker conversion system with self-supervised discrete speech unitsCode1
Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features—0
Preserving background sound in noise-robust voice conversion via multi-task learning—0
Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation—0
Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection—0
V-Cloak: Intelligibility-, Naturalness- & Timbre-Preserving Real-Time Voice Anonymization—0
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance—0
FreeVC: Towards High-Quality Text-Free One-Shot Voice ConversionCode2
Mixed-EVC: Mixed Emotion Synthesis and Control in Voice Conversion—0
Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using β-VAE—0
MetaSpeech: Speech Effects Switch Along with Environment for Metaverse—0
Robust One-Shot Singing Voice Conversion—0
DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion—0
GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion ModelsCode1
Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forwardCode1
ControlVC: Zero-Shot Voice Conversion with Time-Varying Controls on Pitch and SpeedCode1
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator—0
Non-Parallel Voice Conversion for ASR Augmentation—0
Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset—0
DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice ConversionCode1
Investigation into Target Speaking Rate Adaptation for Voice Conversion—0
Are disentangled representations all you need to build speaker anonymization systems?—0
Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice ConversionCode1
Differentiable WORLD Synthesizer-based Neural Vocoder With Application To End-To-End Audio Style Transfer—0
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training—0
Low-data? No problem: low-resource, language-agnostic conversational text-to-speech via F0-conditioned data augmentation—0
Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis—0
A Comparative Study of Self-supervised Speech Representation Based Voice ConversionCode1
GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion—0
A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion—0
Comparison of Speech Representations for the MOS Prediction System—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