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

Showing 51100 of 520 papers

TitleStatusHype
A unified one-shot prosody and speaker conversion system with self-supervised discrete speech unitsCode1
GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion ModelsCode1
Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forwardCode1
ControlVC: Zero-Shot Voice Conversion with Time-Varying Controls on Pitch and SpeedCode1
DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice ConversionCode1
Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice ConversionCode1
A Comparative Study of Self-supervised Speech Representation Based Voice ConversionCode1
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep LearningCode1
Speak Like a Dog: Human to Non-human creature Voice ConversionCode1
End-to-End Zero-Shot Voice Conversion with Location-Variable ConvolutionsCode1
Towards Improved Zero-shot Voice Conversion with Conditional DSVAECode1
Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic ConvolutionCode1
HiFi-VC: High Quality ASR-Based Voice ConversionCode1
Robust Disentangled Variational Speech Representation Learning for Zero-shot Voice ConversionCode1
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversionCode1
SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder BottlenecksCode1
Retriever: Learning Content-Style Representation as a Token-Level Bipartite GraphCode1
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyoneCode1
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with TransformerCode1
A Comparison of Discrete and Soft Speech Units for Improved Voice ConversionCode1
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised RepresentationsCode1
Controllable and Interpretable Singing Voice Decomposition via Assem-VCCode1
LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic SpeechCode1
FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech DetectionCode1
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language ProcessingCode1
Toward Degradation-Robust Voice ConversionCode1
S3PRL-VC: Open-source Voice Conversion Framework with Self-supervised Speech RepresentationsCode1
MediumVC: Any-to-any voice conversion using synthetic specific-speaker speeches as intermedium featuresCode1
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling SchemeCode1
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio NarrationCode1
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021Code1
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice ConversionCode1
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice ConversionCode1
Emotional Voice Conversion: Theory, Databases and ESDCode1
Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear PredictionCode1
Deep Learning Based Assessment of Synthetic Speech NaturalnessCode1
Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency LossCode1
S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained RepresentationsCode1
Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis TechniquesCode1
Speech Resynthesis from Discrete Disentangled Self-Supervised RepresentationsCode1
Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence TrainingCode1
crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational AutoencoderCode1
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in FramesCode1
Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial TrainingCode1
FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear ModulationCode1
Seen and Unseen emotional style transfer for voice conversion with a new emotional speech datasetCode1
One-class learning towards generalized voice spoofing detectionCode1
FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With AttentionCode1
Voice Conversion Using Speech-to-Speech Neuro-Style TransferCode1
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram ConversionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VQ-CPCSpeaker Similarity3.8Unverified
2VQ-VAESpeaker Similarity3.49Unverified
#ModelMetricClaimedVerifiedStatus
1kNN-VC (prematched HiFiGAN)Character Error Rate (CER)2.96Unverified
#ModelMetricClaimedVerifiedStatus
1DISSCTotal Length Error (TLE)0.83Unverified