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 401–425 of 520 papers

TitleStatusHype
The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTSCode0
Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice ConversionCode1
When Automatic Voice Disguise Meets Automatic Speaker Verification—0
Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence ModelingCode1
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer—0
Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion—0
Nonparallel Voice Conversion with Augmented Classifier Star Generative Adversarial NetworksCode1
CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech ConversionCode1
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices—0
Spectrum and Prosody Conversion for Cross-lingual Voice Conversion with CycleGAN—0
VAW-GAN for Singing Voice Conversion with Non-parallel Training Data—0
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling—0
Pretraining Techniques for Sequence-to-Sequence Voice ConversionCode1
Unsupervised Cross-Domain Singing Voice Conversion—0
Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning With Spoofing Detection and Spoofing Type Classification—0
VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architectureCode1
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised LearningCode0
NAUTILUS: a Versatile Voice Cloning System—0
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challengeCode1
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech RecognitionCode0
Robust Training of Vector Quantized Bottleneck ModelsCode1
Many-to-Many Voice Transformer Network—0
Defending Your Voice: Adversarial Attack on Voice ConversionCode1
Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice ConversionCode1
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel DataCode2
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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