runngezhang Goto Github PK

deep_architecture_genealogy

Deep Learning Architecture Genealogy Project

deep_complex_networks

Implementation related to the Deep Complex Networks

deep_kareoke_source_separation

deep_waveform_dnn

deepspeech-1

End-to-end speech recognition using distributed TensorFlow

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

deepspeechrecognition

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

deepsphinx

deeputils

deepxi

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

deformable-convnets

Deformable Convolutional Networks

degradaudiotest

Gera audios degradados e os testa usando o P.563 e o P.862

dejavu

Audio fingerprinting and recognition in Python

delay-and-sum-tutorial

A tutorial on the delay and sum beamformer for microphone arrays

delta-learning-rule

neural networks

delving-deep-into-gans

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

demixer

(Aborted) Music separation

demo-of-deepcomplexaec

demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

demucs_denoiser

denoise-autoencoder

Denoise audio with convolutional autoencoder

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.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

denoising_autoencoder

densenet

MXNet implementation for DenseNet

densenet-1

DenseNet implementation in Keras

densenet-2

PyTorch Implementation of "Densely Connected Convolutional Networks"

densenet.pytorch

A PyTorch implementation of DenseNet.

depthmaptoolbox

dereverb