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copytranslator

Foreign language reading and translation assistant based on copy and translate.

digital-image-processing

My A specialty course called Digital Image processing , including code and notes

foldericontool

One tool for Windows folder icon batch modify. | 一个批量修改 Windows 文件夹图标的小工具。

gmm_baseline

未来杯语音赛道说话人识别的baseline

graduation-project

Text-Independent Speaker Recognition Using Gaussian Mixture Models

ivector_python

lda

An implementation of Linear Discriminant Analysis on multi-class speaker recognition.

master-voice_prints

This Repository includes four different implementations of the Speaker Verification task including the GMM_UBM, Ivector, Deep-Speaker, and voice-vector

plda

An LDA/PLDA estimator using KALDI in python for speaker verification tasks

speaker-recognition

This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1

speaker-recognition-py3

Base on MFCC and GMM(基于MFCC和高斯混合模型的语音识别)

speaker-recognition-system-using-gmm

System for identifying speaker from given speech signal using MFCC,LPC features and Gaussian Mixture Models

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: [email protected]

xyplorer_help

XYplorer使用教程-原创

zhihu-spider

简易的爬虫工具