Deep neural network based speech enhancement toolkit

Different implementations of "Weighted Prediction Error" for speech dereverberation

A high-quality speech analysis, manipulation and synthesis system

ODAS: Open embeddeD Audition System

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

Model Fusion Based Prosody Prediction

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

Complete Assignments for Spring 2017 CS231n: Convolutional Neural Networks for Visual Recognition

Deep Learning Specialization by Andrew Ng on Coursera.

Neural network supported GEV beamformer

斯坦福 cs231n 作业代码实践

Implement of CGMM-MVDR beamforming

speech recognition based on tensorflow 1.0.0

Weighted Spatial Covariance Matrix Estimation for MUSIC based TDOA Estimation of Speech Source

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

This repo contains all of my TensorFlow tutorials

Matlab Particle Filtering and Smoothing Example Code

Tensorflow tutorial from basic to hard

Generating Sensor Signals in Isotropic Noise Fields

Implementation of Newest RNN and Seq2Seq Features

Universal Deep neural network based speech enhancement demo and tools, well pre-trained DNN model

Tensorflow tutorial of building different dynamic recurrent neural network

Matlab-based deep learning toolkit that supports arbitrary directed acyclic graphs (DAG). Support DNN, LSTM, CNN layers and many signal processing layers. Include recipes/examples of using the tool…

Matlab files for various types of beamforming

Recurrent neural network training for noise reduction in robust automatic speech recognition