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

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Showing 101–150 of 520 papers

TitleStatusHype
FSD: An Initial Chinese Dataset for Fake Song DetectionCode1
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challengeCode1
AutoVisual Fusion Suite: A Comprehensive Evaluation of Image Segmentation and Voice Conversion Tools on HuggingFace PlatformCode1
Speak Like a Dog: Human to Non-human creature Voice ConversionCode1
Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis TechniquesCode1
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal ConversionCode1
Evaluating Methods for Ground-Truth-Free Foreign Accent ConversionCode1
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in FramesCode1
SpeechLMScore: Evaluating speech generation using speech language modelCode1
Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice ConversionCode1
Emotional Voice Conversion: Theory, Databases and ESDCode1
A unified one-shot prosody and speaker conversion system with self-supervised discrete speech unitsCode1
Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training DataCode1
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice ConversionCode1
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice ConversionCode1
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep EmbeddingsCode1
F0-consistent many-to-many non-parallel voice conversion via conditional autoencoderCode1
Deep Learning Based Assessment of Synthetic Speech NaturalnessCode1
Toward Degradation-Robust Voice ConversionCode1
The Singing Voice Conversion Challenge 2023Code1
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice ConversionCode1
Towards Improved Zero-shot Voice Conversion with Conditional DSVAECode1
Voice Conversion Based on Cross-Domain Features Using Variational Auto EncodersCode1
Defending Your Voice: Adversarial Attack on Voice ConversionCode1
Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech PretrainingCode1
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data AugmentationCode0
A Speech Representation Anonymization Framework via Selective Noise PerturbationCode0
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised LearningCode0
Deep Residual Neural Networks for Audio Spoofing DetectionCode0
Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource LanguagesCode0
The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTSCode0
Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice ConversionCode0
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial NetworksCode0
STC Antispoofing Systems for the ASVspoof2019 ChallengeCode0
Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter NetworksCode0
Spoof detection using time-delay shallow neural network and feature switchingCode0
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice ConversionCode0
AdaGAN: Adaptive GAN for Many-to-Many Non-Parallel Voice ConversionCode0
SVSNet: An End-to-end Speaker Voice Similarity Assessment ModelCode0
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice ConversionCode0
ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworksCode0
SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and MachinesCode0
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoderCode0
Scalable Factorized Hierarchical Variational Autoencoder TrainingCode0
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial NetworksCode0
Playing with Voices: Tabletop Role-Playing Game Recordings as a Diarization ChallengeCode0
NVC-Net: End-to-End Adversarial Voice ConversionCode0
Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech SynthesisCode0
A Practical Guide to Logical Access Voice Presentation Attack DetectionCode0
Multi-task learning improves synthetic speech detectionCode0
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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