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
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
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
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
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
Non-Parallel Voice Conversion with Cyclic Variational AutoencoderCode1
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
Deep Residual Neural Networks for Audio Spoofing DetectionCode0
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversionCode1
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice ConversionCode0
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder LossCode2
Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion—0
Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice ConversionCode1
Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support—0
MOSNet: Deep Learning based Objective Assessment for Voice ConversionCode1
Spoof detection using time-delay shallow neural network and feature switchingCode0
Unsupervised Singing Voice Conversion—0
STC Antispoofing Systems for the ASVspoof2019 ChallengeCode0
One-shot Voice Conversion by Separating Speaker and Content Representations with Instance NormalizationCode1
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
Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each sourceCode1
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 Based on Cross-Domain Features Using Variational Auto EncodersCode1
Voice Conversion with Conditional SampleRNN—0
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoderCode0
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networksCode1
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