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 376400 of 520 papers

TitleStatusHype
Adversarially learning disentangled speech representations for robust multi-factor voice conversion0
Hierarchical disentangled representation learning for singing voice conversion0
EmoCat: Language-agnostic Emotional Voice Conversion0
Joint Audio-Visual Deepfake Detection0
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy PreservationCode0
Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial TrainingCode1
How Far Are We from Robust Voice Conversion: A Survey0
Low-resource expressive text-to-speech using data augmentation0
FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear ModulationCode1
Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion0
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech0
Learning to Maximize Speech Quality Directly Using MOS Prediction for Neural Text-to-Speech0
Seen and Unseen emotional style transfer for voice conversion with a new emotional speech datasetCode1
PPG-based singing voice conversion with adversarial representation learning0
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
Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations0
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram ConversionCode1
Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion0
Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGANCode1
The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders0
FastVC: Fast Voice Conversion with non-parallel data0
Latent linguistic embedding for cross-lingual text-to-speech and voice conversion0
The Academia Sinica Systems of Voice Conversion for VCC20200
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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