GitHub - Akella17/speaker-embedding: A deep neural network for finding text-independent speaker embedding written in tensorflow and tensorpack
GitHub - zycv/OpenSpeaker: OpenSpeaker is a completely independent and open source speaker recognition project. It provides the entire process of speaker recognition including multi-platform deployment and model optimization.
Illustration of speaker identification versus speaker verification | Download Scientific Diagram
Speaker Verification using Gaussian Mixture Model (GMM-UBM) -
speaker-diarization · GitHub Topics · GitHub
GitHub - CorentinJ/Real-Time-Voice-Cloning: Clone a voice in 5 seconds to generate arbitrary speech in real-time
GitHub - 943274923/Speaker-Recognition: This is a Speaker Recognition and Verification project using SideKit-1.3.1
EER is very high in speaker verification (using my own model and default pretrain model) · Issue #1023 · speechbrain/speechbrain · GitHub
voice-verification · GitHub Topics · GitHub
GitHub - KrishnaDN/Deep-Learning-based-Speaker-Identification-and-Speaker- Verification-Papers: This repo will give all the papers related to speaker recognition and speaker verification based on neural networks and short video explanation of each paper.
NuGet Gallery | Speaker.Recognition.API 1.0.0
speech · GitHub Topics · GitHub
How to Run Speaker Recognition Recipe using SpeechBrain | A PyTorch Powered Speech Toolkit - YouTube
GitHub - wangziqi000/automatic-speaker-verification: Automatic Speaker Identification using MATLAB
Speaker Verification using Gaussian Mixture Model (GMM-UBM) -
voice-activity-detection · GitHub Topics · GitHub
google-speech-to-text · GitHub Topics · GitHub
speaker-recognition · GitHub Topics · GitHub
GitHub - Speaker-Identification/You-Only-Speak-Once: Deep Learning - one shot learning for speaker recognition using Filter Banks
identity-verification · GitHub Topics · GitHub
Day 95 – Speaker Voice Verification Using SpeechBrain
GitHub - jymsuper/SpeakerRecognition_tutorial: Simple d-vector based Speaker Recognition (verification and identification) using Pytorch