Training, inference, and evaluate of the speaker identification and verification model are carried out, and evasion attacks (FGSM, PGD) are performed.
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Updated
Aug 29, 2021 - Python
Training, inference, and evaluate of the speaker identification and verification model are carried out, and evasion attacks (FGSM, PGD) are performed.
说话人识别仓库-说话人表征-ResNet/VGGVox || a ready-to-use repo for Speaker Verification / Speaker Embedding with xvector
A collection of academic publications resources.
A Speaker Verification Workspace with Pytorch
Solution Code for Signal Processing Cup - 2024 by Team EigenSharks
Diarizing Legal Proceedings with d-vectors.
Graduation project pipeline for Auto Speaker Verification system
Official implementation of the ICASSP 2024 paper: Emphasized Non-Target Speaker Knowledge in Knowledge Distillation for Speaker Verification
A simple probability calibration demo
AudioSpeakerVerification: FastAPI-based API for Speaker Matching and Verification using SpeechBrain. Compare and verify speaker identities from audio files.
Graduation project web demo for Auto Speaker Verification system
In defence of metric learning for speaker recognition, test on voxceleb1 eer=2.21%
DTDY-CNN for text-independent speaker verification
Siamese Networks + general Encoder networks project
[FG 2024] "Audio-Visual Person Verification based on Recursive Fusion of Joint Cross-Attention"
The Additive Margin MobileNet1D is a new light weight deep learning model for Speaker Recognition which is based on the MobileNetV2 architecture and the Additive Margin Softmax (AM-Softmax) loss function.)
In this repository, the wavLM model is used for quality and poor quality data for speaker verification task, and the PyCM library is used for evaluation.
Gradient Frequency Attention: Tell Neural Networks where speaker information is.
A Tensorflow-2 Implementation of DNN based Speech Recognition/Speaker Verification Models
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