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/pwc-1/Paper-10/tree/main/speecht5
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
https://github.com/r9y9/gantts
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/revsic/torch-nansy
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
https://github.com/revsic/torch-retriever-vc
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
https://github.com/rhoposit/MOS_Estimation
MOSNet: Deep Learning based Objective Assessment for Voice Conversion
https://github.com/rhoposit/MOS_Estimation2
MOSNet: Deep Learning based Objective Assessment for Voice Conversion
https://github.com/rickyHong/GAN-TTS-repl2
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/rickyHong/GANTTS-update-repl
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/rickyHong/gantts-update-repl2
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/rishikksh20/Zero-Shot-TTS
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
https://github.com/rishikksh20/iSTFTNet-pytorch
https://github.com/rufaelfekadu/seq2seq-vc
https://github.com/seo3650/Audio_style_transfer
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
https://github.com/softrime/CycleGAN-VC_Gluon
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
https://github.com/softrime/cycleGAN-for-VC
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
https://github.com/soumimaiti/speechlmscore_tool
SpeechLMScore: Evaluating speech generation using speech language model
https://github.com/sroutray/ugp
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
https://github.com/sunilrdvg/ESOLA
Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech Signals
https://github.com/takedarts/BandaiNamco-DSChallenge-3rdSolution
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion
https://github.com/thuhcsi/neucosvc
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion
https://github.com/tobwei/disentintel
Unsupervised Speech Decomposition via Triple Information Bottleneck
https://github.com/trinhtuanvubk/diff-vc
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
https://github.com/unilight/s3prl-vc
S3PRL-VC: Open-source Voice Conversion Framework with Self-supervised Speech Representations
https://github.com/vinusankars/ESOLA
Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech Signals
https://github.com/voice-privacy-challenge/voice-privacy-challenge-2024
Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques
https://github.com/vsimkus/voice-conversion
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
https://github.com/wdmdev/dtu_voice_conversion_project
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
https://github.com/yangyucheng000/University/tree/main/model-3/speecht5
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
https://github.com/yiftachbeer/AdaIN-VC
https://github.com/yl4579/StyleTTS
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
https://github.com/zhenye234/CoMoSpeech
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.