🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
Tensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"
Contrastive Predictive Coding for Automatic Speaker Verification
Speaker embedding(verification and recognition) using Pytorch
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
Implementation of state of the art d-vector approach for speaker verification
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
Text Independent Speaker Verification Using GE2E Loss
🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
SE-Resnet+AMSoftmax for Speaker Verification
Automatic Audio Labeler for Speaker Verification
Pytorch implementation of Backdoor Attack against Speaker Verification
Simple d-vector based Speaker Recognition (verification and identification) using Pytorch
Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"
VGGVox models for Speaker Identification and Verification trained on the VoxCeleb (1 & 2) datasets
Keras + pyTorch implimentation of "Deep Learning & 3D Convolutional Neural Networks for Speaker Verification"
This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding