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 276–300 of 520 papers

TitleStatusHype
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversionCode1
An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion—0
Analysis of Voice Conversion and Code-Switching Synthesis Using VQ-VAE—0
A Speech Representation Anonymization Framework via Selective Noise PerturbationCode0
SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder BottlenecksCode1
Disentangleing Content and Fine-grained Prosody Information via Hybrid ASR Bottleneck Features for Voice Conversion—0
Separating Content from Speaker Identity in Speech for the Assessment of Cognitive Impairments—0
Improve few-shot voice cloning using multi-modal learning—0
Text-free non-parallel many-to-many voice conversion using normalising flows—0
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier TransformCode2
Retriever: Learning Content-Style Representation as a Token-Level Bipartite GraphCode1
VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion—0
Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module—0
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery—0
Cross-speaker style transfer for text-to-speech using data augmentation—0
Invertible Voice Conversion—0
The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition—0
A Practical Guide to Logical Access Voice Presentation Attack Detection—0
Emotion Intensity and its Control for Emotional Voice Conversion—0
Adversarial Transformation of Spoofing Attacks for Voice Biometrics—0
IQDUBBING: Prosody modeling based on discrete self-supervised speech representation for expressive voice conversion—0
The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices—0
Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features—0
Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion—0
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyoneCode1
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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