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 301–350 of 520 papers

TitleStatusHype
Preserving background sound in noise-robust voice conversion via multi-task learning—0
Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation—0
Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection—0
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance—0
V-Cloak: Intelligibility-, Naturalness- & Timbre-Preserving Real-Time Voice Anonymization—0
Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using β-VAE—0
Mixed-EVC: Mixed Emotion Synthesis and Control in Voice Conversion—0
MetaSpeech: Speech Effects Switch Along with Environment for Metaverse—0
Robust One-Shot Singing Voice Conversion—0
DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion—0
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator—0
Non-Parallel Voice Conversion for ASR Augmentation—0
Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset—0
Investigation into Target Speaking Rate Adaptation for Voice Conversion—0
Are disentangled representations all you need to build speaker anonymization systems?—0
Differentiable WORLD Synthesizer-based Neural Vocoder With Application To End-To-End Audio Style Transfer—0
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training—0
Low-data? No problem: low-resource, language-agnostic conversational text-to-speech via F0-conditioned data augmentation—0
Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis—0
GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion—0
A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion—0
Comparison of Speech Representations for the MOS Prediction System—0
Identifying Source Speakers for Voice Conversion based Spoofing Attacks on Speaker Verification Systems—0
End-to-End Voice Conversion with Information Perturbation—0
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos—0
Investigating Inter- and Intra-speaker Voice Conversion using Audiobooks—0
Read the Room: Adapting a Robot's Voice to Ambient and Social ContextsCode0
Attentive activation function for improving end-to-end spoofing countermeasure systems—0
Multi-task learning improves synthetic speech detectionCode0
Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation—0
Audio Deep Fake Detection System with Neural Stitching for ADD 2022—0
Time Domain Adversarial Voice Conversion for ADD 2022—0
The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance—0
Representation Selective Self-distillation and wav2vec 2.0 Feature Exploration for Spoof-aware Speaker Verification—0
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective—0
Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices—0
Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck—0
Universal Adaptor: Converting Mel-Spectrograms Between Different Configurations for Speech SynthesisCode0
WavThruVec: Latent speech representation as intermediate features for neural speech synthesis—0
Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE—0
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
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
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
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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