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 351375 of 520 papers

TitleStatusHype
StarGAN-ZSVC: Towards Zero-Shot Voice Conversion in Low-Resource Contexts0
Emotional Voice Conversion: Theory, Databases and ESDCode1
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion0
Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear PredictionCode1
Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery0
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion0
Deep Learning Based Assessment of Synthetic Speech NaturalnessCode1
Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency LossCode1
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels0
Non-autoregressive sequence-to-sequence voice conversion0
NoiseVC: Towards High Quality Zero-Shot Voice Conversion0
S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained RepresentationsCode1
Utilizing Self-supervised Representations for MOS PredictionCode0
StarGAN-based Emotional Voice Conversion for Japanese Phrases0
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
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning0
Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech0
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
Axial Residual Networks for CycleGAN-based Voice Conversion0
ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech0
Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram0
High Fidelity Speech Regeneration with Application to Speech Enhancement0
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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