Pinned Repositories
AEC_DeepModel
基于深度学习的声学回声消除基线代码
audio-super-res
Audio super resolution using neural networks
blog_AEC
博客回声消除文章中的代码和音频
blog_data
放一些博客需要用到的文件
Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
FLGCCRN
FLGCNN: A novel fully convolutional neural network for end-to-end monaural speech enhancement with utterance-based objective functions
perception_scale
Human ear perception scales and feature（mel、bark、ERB、gammatone）
speech-emotion-recognition
Detecting emotions using MFCC features of human speech using Deep Learning
Speech-signal-processing
语音信号处理的基本知识
TCNN
TCNN Temporal convolutional neural network for real-time speech enhancement in the time domain
LXP-Never's Repositories
LXP-Never/AEC_DeepModel
基于深度学习的声学回声消除基线代码
LXP-Never/TCNN
TCNN Temporal convolutional neural network for real-time speech enhancement in the time domain
LXP-Never/Speech-signal-processing
语音信号处理的基本知识
LXP-Never/blog_AEC
博客回声消除文章中的代码和音频
LXP-Never/blog_data
放一些博客需要用到的文件
LXP-Never/perception_scale
Human ear perception scales and feature（mel、bark、ERB、gammatone）
LXP-Never/FLGCCRN
FLGCNN: A novel fully convolutional neural network for end-to-end monaural speech enhancement with utterance-based objective functions
LXP-Never/speech-emotion-recognition
Detecting emotions using MFCC features of human speech using Deep Learning
LXP-Never/audio-super-res
Audio super resolution using neural networks
LXP-Never/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
LXP-Never/TCN_BWE
LXP-Never/Audio-Super-Resolution
Audio Super Resolution in Python3 with Tensorflow 1.5.0 (ref. https://kuleshov.github.io/audio-super-res/)
LXP-Never/bandwidth_extension
LXP-Never/Hierarchical-Recurrent-Neural-Networks-for-Speech-Bandwidth-Extension
Codes of the paper: * Zhen-Hua Ling , Yang Ai, Yu Gu, and Li-Rong Dai, "Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth Extension," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 5, pp. 883-894, 2018.
LXP-Never/PerceptualAudio
Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM
LXP-Never/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
LXP-Never/SkipConvNet
Speech Dereverberation using Fully Convolutional Networks
LXP-Never/tfnet
LXP-Never/voicefixer
General Speech Restoration