Ming0818's repositories
audiovision
Real-time Speech Separation, Noise Suppression & Speaker Recognition
Digital-signal-processing-2-Voice-recognition-classification
This project trains a computer program to identify the voice of the speaker. It was a part of the master's degree (Electronic Systems Engineering) at Heilbronn University of Applied Sciences
dVectorSpeakerRecognition
基于dVector的说话人识别keras
interview
Java 笔试、面试 知识整理
JavaPractice-master
IDEA整合
kaldi-timit-sre-ivector
Develop speaker recognition model based on i-vector using TIMIT database
QtExamples
Qt 之 GUI 控件使用 / 网络 / 架构原理 / 运行机制理解；DTK 重绘控件方式的框架解析；IDE 技巧之 Visual Studio / Qt Creator；此为系列文章教程
qtkaifajingyan
自己总结的这十多年做Qt开发以来的经验，以及Qt相关武林秘籍电子书，会一直持续更新增加，欢迎各位留言增加内容或者提出建议，谢谢！
Speaker-Diarization
speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition
Speaker.Recognition.API
speaker verification and identification
Speaker_Recognition-8
Speaker Recognition
Speech-Lab
Labs in Speech and Speaker Recognition 2018
tf-kaldi-speaker
Neural speaker recognition/verification system based on Kaldi and Tensorflow
triplet-loss-train-for-speaker-recognition
It is a complete project of voiceprint recognition or speaker recognition.Before, I upload a very classic VGG based model for speaker recognition . The model simply use softmax-loss to train super-parameters. But during testing stage,we found the model is not very reliable。for example, the model can easily distinguish man-man group, and man-woman group, but difficultly in woman-woman. So, we try another method called triplet-group to retrain our model, of course, we use triplet-loss as the loss for back propagation. The I upload our core code, and training curve for the two training stage. Why, I refer to "two training stage"? That need you to understand the triplet-group method. And very very welcome to my mailbox: primtee_nxg@163.com
unified-embedding
Code and instruction on how to replicate the experiments done in paper: Unified Hypersphere Embedding for Speaker Recognition
VGG-Speaker-Recognition
Utterance-level Aggregation For Speaker Recognition In The Wild
Voiceprint-recognition-Speaker-recognition
It is a complete project of voiceprint recognition or speaker recognition.
ZHAW_deep_voice
Implementation for various speaker recognition approaches developed at ZHAW Datalab using deep learning. See also https://hub.docker.com/r/stdm/zhaw_deep_voice/ for corresponding Docker containers.