Papers with Code 아카이브
Speaker Verification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 12
- 보존된 평가 기록
- 48
Speaker verification is the verifying the identity of a person from characteristics of the voice.
<span style="color:grey; opacity: 0.6">( Image credit: Contrastive-Predictive-Coding-PyTorch )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/devmams/rawnet
https://github.com/digitalphonetics/speaker-anonymization
https://github.com/drova326/sincnet_metric_learning
https://github.com/fbravosanchez/NIPS4Bplus
https://github.com/gkv856/speaker_embedding_GE2E_loss
https://github.com/google-research/leaf-audio
https://github.com/grausof/keras-sincnet
https://github.com/hanqingguo/GE2E
https://github.com/iamyuanchung/Autoregressive-Predictive-Coding
An Unsupervised Autoregressive Model for Speech Representation Learning
https://github.com/iamyuanchung/VQ-APC
An Unsupervised Autoregressive Model for Speech Representation Learning
https://github.com/icewing1996/SincNet-for-Earthquake
https://github.com/icewing1996/SincNet_MLP
https://github.com/icewing1996/SincNet_asr
https://github.com/icewing1996/baseline
https://github.com/jackaduma/SpeakerRecognition-ResNet-GhostVLAD
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/jaehwlee/MuSincNet
https://github.com/jefflai108/Contrastive-Predictive-Coding-PyTorch
Contrastive Predictive Coding Based Feature for Automatic Speaker Verification
https://github.com/jennyqsun/EEG-Decision-SincNet
https://github.com/jim-schwoebel/allie
https://github.com/jkchen79/netvlad-in-speech
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
https://github.com/jlian2/Masked-Proxy-Loss-for-Text-Indepedent-Speaker-Verification
https://github.com/jlian2/Robust-Voice-Style-Transfer
Robust Disentangled Variational Speech Representation Learning for Zero-shot Voice Conversion
https://github.com/josebeo2016/BTS-Encoder-ASVspoof
https://github.com/joselyn-rodriguez/s3prl
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
https://github.com/kacper1095/speaker-gender-classification-and-deepdream
https://github.com/khassanoff/Speaker_Verification
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/kingridda/voice-cloning-AI
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/liu-tianchi/nes2net
https://github.com/lixucuhk/ASV-anti-spoofing-with-Res2Net
ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection
https://github.com/liyongze/lstm_speaker_verification
Attention-Based Models for Text-Dependent Speaker Verification
https://github.com/ludwig-ai/ludwig
https://github.com/luomingshuang/GE2E-SV-TI-Chinese-LMS
https://github.com/luomingshuang/GE2E-SV-TI-Timit-LMS
https://github.com/luomingshuang/GE2E-SV-TI-Voxceleb-LMS
https://github.com/luomingshuang/GE2E-SV-TI-thchs30-LMS
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.