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 451–500 of 520 papers

TitleStatusHype
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders—0
適合漸凍人使用之語音轉換系統初步研究 (Deep Neural-Network Bandwidth Extension and Denoising Voice Conversion System for ALS Patients)—0
Emotional Voice Conversion using Multitask Learning with Text-to-speechCode0
Evaluating Voice Conversion-based Privacy Protection against Informed Attackers—0
Change your singer: a transfer learning generative adversarial framework for song to song conversion—0
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech—0
Replay Spoofing Countermeasure Using Autoencoder and Siamese Network on ASVspoof 2019 Challenge—0
CycleGAN Voice Conversion of Spectral Envelopes using Adversarial Weights—0
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using SpectrogramsCode0
適合漸凍人使用之語音轉換系統初步研究(Deep Neural-Network Bandwidth Extension and Denoising Voice Conversion System for ALS Patients)—0
使用語者轉換技術於語音合成資料庫之音質改進(Speech Enhancement for TTS Speech Corpora by using Voice Conversion Technologies)—0
Semi-supervised voice conversion with amortized variational inference—0
AdaGAN: Adaptive GAN for Many-to-Many Non-Parallel Voice ConversionCode0
Many-to-Many Voice Conversion using Cycle-Consistent Variational Autoencoder with Multiple Decoders—0
Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech—0
DNN-based cross-lingual voice conversion using Bottleneck Features—0
V2S attack: building DNN-based voice conversion from automatic speaker verification—0
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice ConversionCode0
Generalization of Spectrum Differential based Direct Waveform Modification for Voice Conversion—0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
Deep Residual Neural Networks for Audio Spoofing DetectionCode0
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice ConversionCode0
Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion—0
Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support—0
Spoof detection using time-delay shallow neural network and feature switchingCode0
Unsupervised Singing Voice Conversion—0
STC Antispoofing Systems for the ASVspoof2019 ChallengeCode0
Crossmodal Voice Conversion—0
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice ConversionCode0
Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data—0
ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworksCode0
Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet—0
Singing voice conversion with non-parallel data—0
Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion—0
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion—0
Generative Adversarial Networks for Unpaired Voice Transformation on Impaired SpeechCode0
Investigation of using disentangled and interpretable representations with language conditioning for cross-lingual voice conversion—0
WaveNet 聲碼器及其於語音轉換之應用 (WaveNet Vocoder and its Applications in Voice Conversion) [In Chinese]—0
Error Reduction Network for DBLSTM-based Voice Conversion—0
WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks—0
Voice Conversion with Conditional SampleRNN—0
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoderCode0
A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech—0
Speaker-independent raw waveform model for glottal excitation—0
A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment—0
The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods—0
Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio RepresentationsCode0
Scalable Factorized Hierarchical Variational Autoencoder TrainingCode0
High-quality nonparallel voice conversion based on cycle-consistent adversarial network—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