Voice Conversion
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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
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/bigpon/vcc20_baseline_cyclevae
공식 코드https://github.com/brightgu/mediumvc
공식 코드https://github.com/brightgu/singlevc
공식 코드https://github.com/bshall/knn-vc
공식 코드https://github.com/bshall/soft-vc
공식 코드A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
https://github.com/bshall/urhythmic
공식 코드https://github.com/carlosfranzreb/private_knnvc
공식 코드Private kNN-VC: Interpretable Anonymization of Converted Speech
https://github.com/carlwangchina/samoye-svc
공식 코드SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and Enhancement
https://github.com/chinjouli/dysaug-vc
공식 코드https://github.com/cjerry1243/TransferLearning-CLVC
공식 코드Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice Conversion
https://github.com/coqui-ai/TTS
공식 코드YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
https://github.com/cyhuang-tw/attack-vc
공식 코드Defending Your Voice: Adversarial Attack on Voice Conversion
https://github.com/cyjie429/rego
공식 코드Region-Based Optimization in Continual Learning for Audio Deepfake Detection
https://github.com/cz26/cycletransgan-evc
공식 코드CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer
https://github.com/deep-privacy/SA-toolkit
공식 코드Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques
https://github.com/distsup/DistSup
공식 코드https://github.com/edresson/wav2vec-wrapper
공식 코드https://github.com/ehughson/voice_toolbox
공식 코드Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts
https://github.com/ericwudayi/SkipVQVC
공식 코드VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture
https://github.com/espnet/espnet
공식 코드The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS
https://github.com/facebookresearch/speech-resynthesis
공식 코드Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
https://github.com/gabrielmittag/NISQA
공식 코드Deep Learning Based Assessment of Synthetic Speech Naturalness
https://github.com/gallilmaimon/DISSC
공식 코드Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised Units
https://github.com/hayeong0/DDDM-VC
공식 코드https://github.com/hayeong0/Diff-HierVC
공식 코드https://github.com/hhguo/EA-SVC
공식 코드Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training
https://github.com/howard1337/S2VC
공식 코드S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations
https://github.com/hs-oh-prml/durflexevc
공식 코드https://github.com/huawei-noah/Speech-Backbones
공식 코드Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
https://github.com/idiap/rnv
공식 코드Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech
https://github.com/interactiveaudiolab/ppgs
공식 코드https://github.com/jessegator/sonar
공식 코드Where are we in audio deepfake detection? A systematic analysis over generative and detection models
https://github.com/jjery2243542/adaptive_voice_conversion
공식 코드https://github.com/jjery2243542/voice_conversion
공식 코드https://github.com/joansj/blow
공식 코드Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.