https://github.com/GreatJiweix/DmmlTiSV
공식 코드Deep multi-metric learning for text-independent speaker verification
Papers with Code 아카이브
Text-Independent Speaker Verification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Jungjee/RawNet
공식 코드https://github.com/WeidiXie/VGG-Speaker-Recognition
공식 코드Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/astorfi/3D-convolutional-speaker-recognition
공식 코드Text-Independent Speaker Verification Using 3D Convolutional Neural Networks
https://github.com/danielmengliu/audiovisuallip
공식 코드Cross-modal Audio-visual Co-learning for Text-independent Speaker Verification
https://github.com/frednam93/FilterAugSED
공식 코드FilterAugment: An Acoustic Environmental Data Augmentation Method
https://github.com/google/speaker-id/tree/master/lingvo
공식 코드https://github.com/gzhu06/Y-vector
공식 코드https://github.com/happyjin/fdn
공식 코드https://github.com/sadpororo/unipool-sv
공식 코드Universal Pooling Method of Multi-layer Features from Pretrained Models for Speaker Verification
https://github.com/sanphiee/MOT-sGPLDA-MCE18
공식 코드Multiobjective Optimization Training of PLDA for Speaker Verification
https://github.com/sanphiee/MOT-sGPLDA-SRE14
공식 코드Multiobjective Optimization Training of PLDA for Speaker Verification
https://github.com/shkim816/decomposed_temporal_dynamic_cnn
공식 코드https://github.com/shkim816/temporal_dynamic_cnn
공식 코드https://github.com/shuimove1234/Noise-Invariant-Frame-Selection
공식 코드https://github.com/tayebiarasteh/pathology_asv
공식 코드The effect of speech pathology on automatic speaker verification -- a large-scale study
https://github.com/ychenl/ds-tdnn
공식 코드DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification
https://github.com/Dou-Yu-xuan/speaker-recognition
Text-Independent Speaker Verification Using 3D Convolutional Neural Networks
https://github.com/KrishnaDN/RawNet
https://github.com/Livefull/SphereDiar
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/MindSpore-scientific/code-5/tree/main/RawNet
https://github.com/arthurutnehmer/3D-convolutional-speaker-recognition
Text-Independent Speaker Verification Using 3D Convolutional Neural Networks
https://github.com/astorfi/3D-convolutional-speaker-recognition-pytorch
Text-Independent Speaker Verification Using 3D Convolutional Neural Networks
https://github.com/devmams/rawnet
https://github.com/jackaduma/SpeakerRecognition-ResNet-GhostVLAD
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/jkchen79/netvlad-in-speech
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/jlian2/Masked-Proxy-Loss-for-Text-Indepedent-Speaker-Verification
https://github.com/khassanoff/Speaker_Verification
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/mavceleb/mavceleb_baseline
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/msaadsaeed/FOP
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/msaadsaeed/sbnet
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/shangeth/wavencoder
https://github.com/taylorlu/Speaker-Diarization
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/theolepage/ssl-for-slr
https://github.com/tuananh0305/End2End_SpeakRecognition_SincNet
https://github.com/zabir-nabil/tf2-speaker-recognition
Utterance-level Aggregation For Speaker Recognition In The Wild
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.