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 501–520 of 520 papers

TitleStatusHype
Mel-spectrogram augmentation for sequence to sequence voice conversionCode0
Deep Residual Neural Networks for Audio Spoofing DetectionCode0
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using SpectrogramsCode0
AdaGAN: Adaptive GAN for Many-to-Many Non-Parallel Voice ConversionCode0
Vocoder-free End-to-End Voice Conversion with Transformer NetworkCode0
Universal Adaptor: Converting Mel-Spectrograms Between Different Configurations for Speech SynthesisCode0
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice ConversionCode0
Hear Your Face: Face-based voice conversion with F0 estimationCode0
The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTSCode0
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial NetworksCode0
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised LearningCode0
Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric SpeechCode0
Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter NetworksCode0
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech RecognitionCode0
Generative Adversarial Networks for Unpaired Voice Transformation on Impaired SpeechCode0
NVC-Net: End-to-End Adversarial Voice ConversionCode0
Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech SignalsCode0
ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworksCode0
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data AugmentationCode0
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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