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Speaker Recognition
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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/khassanoff/Speaker_Verification
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/kooBH/VFWS
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
https://github.com/liyongze/lstm_speaker_verification
Attention-Based Models for Text-Dependent Speaker Verification
https://github.com/maum-ai/voicefilter
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
https://github.com/mavceleb/mavceleb_baseline
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/meiyor/SincNet-for-Autism-EEG-based-Emotion-Recognition
Speech and Speaker Recognition from Raw Waveform with SincNet
https://github.com/mpariente/asteroid
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/muqiaoy/PAAP
TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement
https://github.com/philipperemy/deep-speaker
https://github.com/pirxus/personalVAD
https://github.com/pkwww/SincNet_MLP
https://github.com/prajual/Deep_Speaker
https://github.com/pwc-1/Paper-9/tree/main/1/wav2vec2_with_lm
https://github.com/pwc-1/Paper-9/tree/main/3/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/pwc-1/Paper-9/tree/main/4/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/qqueing/DeepSpeaker-pytorch
https://github.com/rperi/speaker-embeddings-UAI-inference
Robust speaker recognition using unsupervised adversarial invariance
https://github.com/sajabdoli/UAP
https://github.com/samirsahoo007/Audio-and-Speech-Processing
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
https://github.com/shangeth/wavencoder
https://github.com/smallflyingpig/universal_adversarial_perturbation_generative_network_for_speaker_recognition
Universal Adversarial Perturbations Generative Network for Speaker Recognition
https://github.com/speakerguard/speakerguard
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition
https://github.com/taoruijie/ecapa-tdnn
HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE
https://github.com/taylorlu/Speaker-Diarization
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/theolepage/sslsv
Delving into VoxCeleb: environment invariant speaker recognition
https://github.com/tuananh0305/End2End_SpeakRecognition_SincNet
https://github.com/vohoaiviet/voice-vector
https://github.com/voice-privacy-challenge/voice-privacy-challenge-2024
https://github.com/wangleiai/dVectorSpeakerRecognition
https://github.com/zabir-nabil/tf2-speaker-recognition
Utterance-level Aggregation For Speaker Recognition In The Wild
https://github.com/zhaoyi2/xvector-cnceleb
https://github.com/zhudu/LOL-Recongnition-by-Deep-Speaker
https://github.com/zzmtsvv/snzs
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