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 126150 of 520 papers

TitleStatusHype
DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations without Text AlignmentCode2
Transfer the linguistic representations from TTS to accent conversion with non-parallel data0
StreamVC: Real-Time Low-Latency Voice Conversion0
CoMoSVC: Consistency Model-based Singing Voice ConversionCode2
Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion0
AE-Flow: AutoEncoder Normalizing Flow0
Exploring data augmentation in bias mitigation against non-native-accented speech0
Creating New Voices using Normalizing Flows0
AutoVisual Fusion Suite: A Comprehensive Evaluation of Image Segmentation and Voice Conversion Tools on HuggingFace PlatformCode1
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake DetectionCode1
SEF-VC: Speaker Embedding Free Zero-Shot Voice Conversion with Cross Attention0
PerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models0
Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes0
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion0
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisCode3
Improving fairness for spoken language understanding in atypical speech with Text-to-SpeechCode1
Reimagining Speech: A Scoping Review of Deep Learning-Powered Voice Conversion0
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal ConversionCode1
Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models0
Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker AdaptationCode2
Non-Parallel Training Approach for Emotional Voice Conversion Using CycleGANCode0
Low-latency Real-time Voice Conversion on CPUCode2
An overview of text-to-speech systems and media applications0
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations0
Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices0
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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