https://github.com/tan-openlab/pf-net
공식 코드PF-Net: Personalized Filter for Speaker Recognition from Raw Waveform
Papers with Code 아카이브
Speaker Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 2
Speaker Recognition is the process of identifying or confirming the identity of a person given his speech segments.
Source: Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/taoruijie/avcleanse
공식 코드Speaker recognition with two-step multi-modal deep cleansing
https://github.com/taoruijie/ecapatdnn
공식 코드HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE
https://github.com/taoruijie/loss-gated-learning
공식 코드Self-supervised Speaker Recognition with Loss-gated Learning
https://github.com/tstafylakis/Speaker-Embeddings-Correlation-Pooling
공식 코드https://github.com/underdogliu/household-speaker-recognition
공식 코드https://github.com/usc-sail/gard-adversarial-speaker-id
공식 코드Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems
https://github.com/wenet-e2e/wespeaker
공식 코드Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition
https://github.com/wentaozhu/speechnas
공식 코드https://github.com/wiebket/bt4vt
공식 코드https://github.com/wq2012/SpeakerVerSim
공식 코드https://github.com/wutong18/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition
공식 코드Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/yunyangzeng/taploss
공식 코드TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement
https://github.com/zbang/usef-tse
공식 코드USEF-TSE: Universal Speaker Embedding Free Target Speaker Extraction
https://github.com/008karan/SincNet_demo
https://github.com/1alexandra/speech
Attention-Based Models for Text-Dependent Speaker Verification
https://github.com/592595/TERA
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
https://github.com/AI-Guru/SincNet
https://github.com/AryaAftab/sincnet-tensorflow
https://github.com/Aurora11111/speaker-recognition-pytorch
https://github.com/Aurora11111/voiceprint
https://github.com/Edresson/VoiceSplit
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
https://github.com/FAKEBOB-adversarial-attack/FAKEBOB
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
https://github.com/HHousen/speaker-change-detection
https://github.com/HeliosX7/voice-filter
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
https://github.com/JeongwookUm/TEST_AutoSpeech-master
AutoSpeech: Neural Architecture Search for Speaker Recognition
https://github.com/Livefull/SphereDiar
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/MS-P3/code7/tree/main/wav2vec2
https://github.com/MainRo/deep-speaker
https://github.com/MarvinLvn/voice-type-classifier
https://github.com/MindCode-4/code-13/tree/main/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/MindCode-4/code-5/tree/main/wav2vec2
https://github.com/MindCode-4/code-9/tree/main/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/MindCode-4/code-9/tree/main/Two-Layer-ReLU-Network-Analytically
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/MindSpore-paper-code-2/code400/tree/main/EcapaTDNN
HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE
https://github.com/PaddlePaddle/DeepSpeech
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.