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deep_complex_networks

Implementation related to the Deep Complex Networks

deep_lip_reading

Code and models for evaluating a state-of-the-art lip reading network

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningc

Simple program to learn CNN (LeNet-5) in pure C

deeplearningsourceseparation

Deep Recurrent Neural Networks for Source Separation

deepspeaker_rawnet_ge2e

分别在VCTK、AISHELL1 和 VoxCeleb1 三个标准公开数据集上对三种端到端声纹模型框架（Deep Speaker, RawNet, GE2E）进行实验比较。

deeptcn

deepxi

Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.

denoise-1

Convert audio files to STFT and use conv1D, LSTM, and GRU models to reduce noise

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

denoiser-1

An AI model to remove noise from the input audio using deep learning model which predicts the type of noise present and filter it out from the audio to give noise-free results.

denoising-autoencoder

Denoising autoencoder with attention to eliminate noise in the soil moisture content recorded at different locations in the United States

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet-keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

dereverberation-and-denoising

MATLAB codes for estimating the room impulse response (RIR) and exemplar weights for speech dereverberation in noisy environments using the NMF and NMD -based techniques

dereverberation-toolkit-for-reverb-challenge

Deep Learning Based Monaural Speech Dereverberation Models: Hope We Can Get Better Performance of Dereverberation

dfsmn-based-lightweight-speech-enhancement

Deep Feedforward sequential memory networks(FSMN)

dilated_res_attention_lstm

Simple implement dilated LSTM, residual LSTM and Attention LSTM (follow the corresponding papers).

dirent

C/C++ library for retrieving information on files and directories

distant_speech_recognition

spatial signal processing toolkit a.k.a beamforming toolkit 2.0 (BTK2.0)

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dlib_face_recognition_from_camera

Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别

dnn-for-speech-enhancement

DNN-for-speech-enhancement

dnn-speechenhancement

DNN-based speech enhancement using Tensorflow by Haoyu Li (Tokyo univ.)

dnn_aec_data_process

pre-process script for timit data for dnn-aec works

dnn_localization_and_separation

Speech Localization and Separation using DNNs

dnn_wpe

dnnforspeechenhancementbycplus

A Speech Enhancement Model based on Deep Neural Networks.

dns-challenge

This repo contains the scripts, models, and required files for the ICASSP 2021 Deep Noise Suppression (DNS) Challenge.

doa

DOA