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 251–300 of 520 papers

TitleStatusHype
Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder—0
Speaker-independent raw waveform model for glottal excitation—0
Spectrum and Prosody Conversion for Cross-lingual Voice Conversion with CycleGAN—0
SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition—0
Speech Enhancement-assisted Voice Conversion in Noisy Environments—0
Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives—0
Speech Synthesis along Perceptual Voice Quality Dimensions—0
StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching—0
StarGAN-based Emotional Voice Conversion for Japanese Phrases—0
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition—0
StarGAN-ZSVC: Towards Zero-Shot Voice Conversion in Low-Resource Contexts—0
StarVC: A Unified Auto-Regressive Framework for Joint Text and Speech Generation in Voice Conversion—0
Stepback: Enhanced Disentanglement for Voice Conversion via Multi-Task Learning—0
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance—0
StreamVC: Real-Time Low-Latency Voice Conversion—0
StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion—0
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion—0
Stylebook: Content-Dependent Speaking Style Modeling for Any-to-Any Voice Conversion using Only Speech Data—0
SVSNet+: Enhancing Speaker Voice Similarity Assessment Models with Representations from Speech Foundation Models—0
Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data—0
Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling—0
Text-free non-parallel many-to-many voice conversion using normalising flows—0
Textless NLP -- Zero Resource Challenge with Low Resource Compute—0
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training—0
The Academia Sinica Systems of Voice Conversion for VCC2020—0
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech—0
The Database and Benchmark for the Source Speaker Tracing Challenge 2024—0
The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition—0
The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices—0
The Impact of Silence on Speech Anti-Spoofing—0
The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders—0
The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance—0
The SYSU System for the Interspeech 2015 Automatic Speaker Verification Spoofing and Countermeasures Challenge—0
The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods—0
The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisation—0
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion—0
Time Domain Adversarial Voice Conversion for ADD 2022—0
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples—0
Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion—0
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels—0
Towards General-Purpose Text-Instruction-Guided Voice Conversion—0
Towards High-fidelity Singing Voice Conversion with Acoustic Reference and Contrastive Predictive Coding—0
Towards Identity Preserving Normal to Dysarthric Voice Conversion—0
Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram—0
Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion—0
Towards Naturalistic Voice Conversion: NaturalVoices Dataset with an Automatic Processing Pipeline—0
Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity—0
Towards Robust Neural Vocoding for Speech Generation: A Survey—0
Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features—0
Transcription and translation of videos using fine-tuned XLSR Wav2Vec2 on custom dataset and mBART—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