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 151175 of 520 papers

TitleStatusHype
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion0
CTEFM-VC: Zero-Shot Voice Conversion Based on Content-Aware Timbre Ensemble Modeling and Flow Matching0
ALO-VC: Any-to-any Low-latency One-shot Voice Conversion0
Automatic Voice Identification after Speech Resynthesis using PPG0
Cross-speaker style transfer for text-to-speech using data augmentation0
Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation0
Crossmodal Voice Conversion0
A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment0
AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment0
Cross-modal Face- and Voice-style Transfer0
Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation0
Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech0
Creating Personalized Synthetic Voices from Post-Glossectomy Speech with Guided Diffusion Models0
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis0
A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion0
Creating New Voices using Normalizing Flows0
Learning Speech Representation From Contrastive Token-Acoustic Pretraining0
CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition0
A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech0
AE-Flow: AutoEncoder Normalizing Flow0
FastVC: Fast Voice Conversion with non-parallel data0
ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion0
Are disentangled representations all you need to build speaker anonymization systems?0
Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model0
Adversarial Transformation of Spoofing Attacks for Voice Biometrics0
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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