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 1–50 of 520 papers

TitleStatusHype
Metis: A Foundation Speech Generation Model with Masked Generative Pre-trainingCode9
Overview of the Amphion Toolkit (v0.2)Code9
Zero-shot Voice Conversion with Diffusion TransformersCode7
SpeechGPT-Gen: Scaling Chain-of-Information Speech GenerationCode5
Improving Data Augmentation-based Cross-Speaker Style Transfer for TTS with Singing Voice, Style Filtering, and F0 MatchingCode4
FlashSpeech: Efficient Zero-Shot Speech SynthesisCode3
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisCode3
Audio Deepfake Detection with Self-Supervised XLS-R and SLS ClassifierCode2
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionCode2
SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and EnhancementCode2
Coding Speech through Vocal Tract KinematicsCode2
High-Fidelity Neural Phonetic PosteriorgramsCode2
DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations without Text AlignmentCode2
CoMoSVC: Consistency Model-based Singing Voice ConversionCode2
Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker AdaptationCode2
Low-latency Real-time Voice Conversion on CPUCode2
Phoneme Hallucinator: One-shot Voice Conversion via Set ExpansionCode2
Voice Conversion With Just Nearest NeighborsCode2
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice ConversionCode2
M4Singer: a Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing CorpusCode2
FreeVC: Towards High-Quality Text-Free One-Shot Voice ConversionCode2
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier TransformCode2
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel DataCode2
Unsupervised Speech Decomposition via Triple Information BottleneckCode2
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder LossCode2
Training-Free Voice Conversion with Factorized Optimal TransportCode1
kNN-SVC: Robust Zero-Shot Singing Voice Conversion with Additive Synthesis and Concatenation Smoothness OptimizationCode1
Region-Based Optimization in Continual Learning for Audio Deepfake DetectionCode1
Where are we in audio deepfake detection? A systematic analysis over generative and detection modelsCode1
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
Improving fairness for spoken language understanding in atypical speech with Text-to-SpeechCode1
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal ConversionCode1
BiSinger: Bilingual Singing Voice SynthesisCode1
HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methodsCode1
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep EmbeddingsCode1
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice ConversionCode1
Evaluating Methods for Ground-Truth-Free Foreign Accent ConversionCode1
FSD: An Initial Chinese Dataset for Fake Song DetectionCode1
Anonymizing Speech: Evaluating and Designing Speaker Anonymization TechniquesCode1
Rhythm Modeling for Voice ConversionCode1
Disentanglement in a GAN for Unconditional Speech SynthesisCode1
Using joint training speaker encoder with consistency loss to achieve cross-lingual voice conversion and expressive voice conversionCode1
The Singing Voice Conversion Challenge 2023Code1
DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic ModelCode1
TriAAN-VC: Triple Adaptive Attention Normalization for Any-to-Any Voice ConversionCode1
StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS ModelsCode1
Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsCode1
SpeechLMScore: Evaluating speech generation using speech language modelCode1
Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipelineCode1
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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