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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–520 of 520 papers

TitleStatusHype
Incorporating speaker embedding and post-filter network for improving speaker similarity of personalized speech synthesis system—0
Individuality-preserving Voice Conversion for Articulation Disorders Using Dictionary Selective Non-negative Matrix Factorization—0
Individuality-Preserving Voice Conversion for Articulation Disorders Using Locality-Constrained NMF—0
Invertible Voice Conversion—0
Investigating Inter- and Intra-speaker Voice Conversion using Audiobooks—0
Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech—0
Investigating self-supervised features for expressive, multilingual voice conversion—0
Investigation into Target Speaking Rate Adaptation for Voice Conversion—0
Investigation of using disentangled and interpretable representations with language conditioning for cross-lingual voice conversion—0
IQDUBBING: Prosody modeling based on discrete self-supervised speech representation for expressive voice conversion—0
Iteratively Improving Speech Recognition and Voice Conversion—0
Joint Audio-Visual Deepfake Detection—0
Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet—0
Latent linguistic embedding for cross-lingual text-to-speech and voice conversion—0
LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency Distillation—0
LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance—0
Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion—0
Learning Paralinguistic Features from Audiobooks through Style Voice Conversion—0
Learning Singing From Speech—0
LHQ-SVC: Lightweight and High Quality Singing Voice Conversion Modeling—0
Show:102550
← PrevPage 11 of 11Next →
All datasetsZeroSpeech 2019 EnglishLibriSpeech test-cleanVCTK

Benchmark Results

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