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

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Showing 151–200 of 520 papers

TitleStatusHype
Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech SynthesisCode0
A Practical Guide to Logical Access Voice Presentation Attack DetectionCode0
Spoof detection using time-delay shallow neural network and feature switchingCode0
Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech SignalsCode0
Scalable Factorized Hierarchical Variational Autoencoder TrainingCode0
SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and MachinesCode0
Universal Adaptor: Converting Mel-Spectrograms Between Different Configurations for Speech SynthesisCode0
Emotional Voice Conversion using Multitask Learning with Text-to-speechCode0
Playing with Voices: Tabletop Role-Playing Game Recordings as a Diarization ChallengeCode0
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy PreservationCode0
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial NetworksCode0
Private kNN-VC: Interpretable Anonymization of Converted SpeechCode0
Non-Parallel Training Approach for Emotional Voice Conversion Using CycleGANCode0
NVC-Net: End-to-End Adversarial Voice ConversionCode0
Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio RepresentationsCode0
Mel-spectrogram augmentation for sequence to sequence voice conversionCode0
Multi-task learning improves synthetic speech detectionCode0
Read the Room: Adapting a Robot's Voice to Ambient and Social ContextsCode0
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-SpeechCode0
Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-ExampleCode0
Hear Your Face: Face-based voice conversion with F0 estimationCode0
Improving Zero-shot Voice Style Transfer via Disentangled Representation LearningCode0
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using SpectrogramsCode0
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice ConversionCode0
Delivering Speaking Style in Low-resource Voice Conversion with Multi-factor Constraints—0
A Unified Model For Voice and Accent Conversion In Speech and Singing using Self-Supervised Learning and Feature Extraction—0
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices—0
Audio Deep Fake Detection System with Neural Stitching for ADD 2022—0
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling—0
Deep Learning-based F0 Synthesis for Speaker Anonymization—0
Audio Anti-spoofing Using a Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning—0
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR—0
Adaptive Speech Duration Modification using a Deep-Generative Framework—0
DeepA: A Deep Neural Analyzer For Speech And Singing Vocoding—0
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
Attentive activation function for improving end-to-end spoofing countermeasure systems—0
Analysis of Voice Conversion and Code-Switching Synthesis Using VQ-VAE—0
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack—0
Data Augmentation for Diverse Voice Conversion in Noisy Environments—0
Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion—0
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech—0
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion—0
ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations—0
CycleFlow: Purify Information Factors by Cycle Loss—0
ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech—0
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion—0
CTEFM-VC: Zero-Shot Voice Conversion Based on Content-Aware Timbre Ensemble Modeling and Flow Matching—0
ALO-VC: Any-to-any Low-latency One-shot Voice Conversion—0
Cross-speaker style transfer for text-to-speech using data augmentation—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