hangxiu Goto Github PK

adsv_voting

algorithm_analysis_practice

algorithm analysis practice

asv-subtools

An Open Source Tools for Speaker Recognition

bjfuthesis

北京林业大学 LaTeX 学位论文模板 LaTeX Thesis Template for Beijing Forestry University

blogmanger

book

个人认为对技术提升很不错的书

cat

A CRF-based ASR Toolkit

crawler

a simple crawler by java

customermanagement

a simple customer management system using MVC model with development ducumentation :bowtie:

d-vector-language-recognition

d-vector based language identification using pytorch

demo_gmm-ubm_alize3.0

demo gmm alize

dnf

A Pytorch implementations of DNF for author's article "Deep normalization for speaker vectors"

eer_and_mindcf

calculate EER and minDCF

ilid

automatic spoken language identification

lidbox

End-to-end spoken language identification with TensorFlow 2

machine-learning

2019假期学习过程

maskbased_speech_enhancement

mce2018

An implementation of an open-set speaker recognition system for the 1st Multi-target speaker detection and identification Challenge Evaluation (MCE 2018)

meta-sr

Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)

metricembeddingnet

A collection of my research on metric loss learning, speaker embedding, identification, diarisation and more. Visit lucvanwyk.wixsite.com/website for details.

mfcc-gmm-python2.7

参照ITM大学本科毕业设计使用自制数据集实现动物种类语音识别，但样本集过小欠拟合，识别正确率80%

mmam_loss

mmam loss for language identification

netvlad-in-speech

An end-to-end framework using NetVLAD for language identification and speaker recognition.

opentransformer

A No-Recurrence Sequence-to-Sequence Model for Speech Recognition

pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

python_speech_features

This library provides common speech features for ASR including MFCCs and filterbank energies.

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

se_relative_loss

(tensorflow) speech enhancement using relative loss

speaker-embedding-with-phonetic-information

The code for the Interspeech paper "Speaker Embedding Extraction with Phonetic Information"

speakerrecognition_tutorial

Simple d-vector based Speaker Recognition (verification and identification) using Pytorch