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 201–250 of 520 papers

TitleStatusHype
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples—0
LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency Distillation—0
Hear Your Face: Face-based voice conversion with F0 estimationCode0
VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing—0
MulliVC: Multi-lingual Voice Conversion With Cycle Consistency—0
Automatic Voice Identification after Speech Resynthesis using PPG—0
StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion—0
Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity—0
The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisation—0
Source Tracing of Audio Deepfake Systems—0
We Need Variations in Speech Generation: Sub-center Modelling for Speaker Embeddings—0
Application of ASV for Voice Identification after VC and Duration Predictor Improvement in TTS Models—0
RefXVC: Cross-Lingual Voice Conversion with Enhanced Reference Leveraging—0
DreamVoice: Text-Guided Voice Conversion—0
Improving child speech recognition with augmented child-like speech—0
DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion—0
SVSNet+: Enhancing Speaker Voice Similarity Assessment Models with Representations from Speech Foundation Models—0
SPA-SVC: Self-supervised Pitch Augmentation for Singing Voice Conversion—0
LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance—0
The Database and Benchmark for the Source Speaker Tracing Challenge 2024—0
Towards Naturalistic Voice Conversion: NaturalVoices Dataset with an Automatic Processing Pipeline—0
Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion—0
Real-Time and Accurate: Zero-shot High-Fidelity Singing Voice Conversion with Multi-Condition Flow Synthesis—0
Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model—0
Who is Authentic Speaker—0
Retrieval-Augmented Audio Deepfake Detection—0
PSCodec: A Series of High-Fidelity Low-bitrate Neural Speech Codecs Leveraging Prompt Encoders—0
Voice Conversion Augmentation for Speaker Recognition on Defective Datasets—0
PAVITS: Exploring Prosody-aware VITS for End-to-End Emotional Voice Conversion—0
Transcription and translation of videos using fine-tuned XLSR Wav2Vec2 on custom dataset and mBART—0
Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations—0
SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition—0
SongBsAb: A Dual Prevention Approach against Singing Voice Conversion based Illegal Song Covers—0
Adversarial speech for voice privacy protection from Personalized Speech generation—0
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion—0
Transfer the linguistic representations from TTS to accent conversion with non-parallel data—0
StreamVC: Real-Time Low-Latency Voice Conversion—0
Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion—0
AE-Flow: AutoEncoder Normalizing Flow—0
Exploring data augmentation in bias mitigation against non-native-accented speech—0
Creating New Voices using Normalizing Flows—0
SEF-VC: Speaker Embedding Free Zero-Shot Voice Conversion with Cross Attention—0
PerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models—0
Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes—0
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion—0
Reimagining Speech: A Scoping Review of Deep Learning-Powered Voice Conversion—0
Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models—0
Non-Parallel Training Approach for Emotional Voice Conversion Using CycleGANCode0
An overview of text-to-speech systems and media applications—0
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations—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