earthjade96 Goto Github PK

beamformers

Easy to use Beamformers for multi-channel speech separation/enhancement

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

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.

hello-word

hello-world

magenta

Magenta: Music and Art Generation with Machine Intelligence

onsets-and-frames

A Pytorch implementation of Onsets and Frames (Hawthorne 2018)

sednn

deep learning based speech enhancement using keras or pytorch, make it easy to use

segan

Speech Enhancement Generative Adversarial Network in TensorFlow

speech-denoising-wavenet

A neural network for end-to-end speech denoising

speech-enhancement

Deep learning for audio denoising

speech_enhancement_dnn_nmf

Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF

speechalgorithms

Code of my WeChat Offical Account