Papers with Code 아카이브
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/kamepong/StarGAN-VC
공식 코드StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
https://github.com/koeai/llvc
공식 코드https://github.com/lesterphillip/svcc23_fastsvc
공식 코드https://github.com/liusongxiang/StarGAN-Voice-Conversion
공식 코드AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
https://github.com/lochenchou/MOSNet
공식 코드MOSNet: Deep Learning based Objective Assessment for Voice Conversion
https://github.com/mariganeshkumar/TDSNN-spoof-detection
공식 코드Spoof detection using time-delay shallow neural network and feature switching
https://github.com/microsoft/speecht5
공식 코드SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
https://github.com/mindslab-ai/assem-vc
공식 코드Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques
https://github.com/mindslab-ai/cotatron
공식 코드Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data
https://github.com/ming024/FastSpeech2
공식 코드https://github.com/mingjiechen/dyganvc
공식 코드Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution
https://github.com/mtran14/dp_w2v2
공식 코드A Speech Representation Anonymization Framework via Selective Noise Perturbation
https://github.com/nesl/asvspoof2019
공식 코드https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts
공식 코드A Practical Guide to Logical Access Voice Presentation Attack Detection
https://github.com/nii-yamagishilab/speaker_sex_attribute_privacy
공식 코드https://github.com/olawod/freevc
공식 코드FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion
https://github.com/open-mmlab/amphion
공식 코드https://github.com/patrickltobing/cyclevae-vc
공식 코드Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
https://github.com/patrickltobing/cyclevae-vc-neuralvoco
공식 코드https://github.com/rf5/simple-asgan
공식 코드GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion Models
https://github.com/s3prl/s3prl
공식 코드S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations
https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/mos_prediction
공식 코드Utilizing Self-supervised Representations for MOS Prediction
https://github.com/sh-lee-prml/hierspeechpp
공식 코드https://github.com/smileslab/comparative-analysis-voice-spoofing
공식 코드https://github.com/smoothken/knn-svc
공식 코드https://github.com/suhitaghosh10/ddsp-qbe
공식 코드Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example
https://github.com/suhitaghosh10/emo-stargan
공식 코드Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion
https://github.com/suzuki256/dog-dataset
공식 코드Speak Like a Dog: Human to Non-human creature Voice Conversion
https://github.com/talkingnow/HM-Conformer
공식 코드https://github.com/ttslr/strengthnet
공식 코드Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning
https://github.com/unilight/cdvae-vc
공식 코드https://github.com/unilight/ldnet
공식 코드LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech
https://github.com/unilight/seq2seq-vc
공식 코드Evaluating Methods for Ground-Truth-Free Foreign Accent Conversion
https://github.com/wanghelin1997/aty-tts
공식 코드Improving fairness for spoken language understanding in atypical speech with Text-to-Speech
https://github.com/wanghelin1997/duta-vc
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.