Wenwan Chen's repositories
3D-convolutional-speaker-recognition
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
AlgorithmsPart-I-Coursera
My programming assignments to the Algorithms, Part I course by Kevin Wayne and Robert Sedgewick of the Princeton University.
AMICorpusXML
Extracts Transcript and Summary (Abstractive and Extractive) from the AMI Meeting Corpus
audio-SNR
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
awesome-python-scientific-audio
Curated list of python software and packages related to scientific research in audio
Backends-for-SRE19
This repository will illustrate the use of some different backends on NIST SRE 2019.
CountNet
Deep Neural Network for Speaker Count Estimation
deep-clustering
deep clustering method for single-channel speech separation
Deep_Speaker-speaker_recognition_system
Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)
kaldi
This is the official location of the Kaldi project.
kaldi-io-for-python
Python functions for reading kaldi data formats. Useful for rapid prototyping with python.
LMDS
A multidimensional scaling (MDS) and landmark multidimensional scaling (LMDS) implementation
machine_learning_beginner
机器学习初学者公众号作品
multi-task-kaldi
An example directory for running Multi-Task Learning training on Kaldi neural networks. In Kaldi-speak, this is an egs dir for nnet3 training.
NeuralPlda
Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)
pretty-print-confusion-matrix
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding
pyannote-metrics
A toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems
pykaldi
A Python wrapper for Kaldi
pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
pytorch-kaldi-neural-speaker-embeddings
A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.
redbud-tree-depression
scripts to model depression in speech and text
SMA2
Sorce code of Apkinson: android app to monitor the motor symptoms of Parkinson's patients
tf-kaldi-speaker
Neural speaker recognition/verification system based on Kaldi and Tensorflow
voicemap
Identifying people from small audio fragments
x-vector-kaldi-tf
Tensorflow implementation of x-vector topology on top of Kaldi recipe
zhihu-crawler-people
A simple distributed crawler for zhihu && data analysis