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Yunzhe Hao's Projects

denoiser icon 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.

dual-path-rnns-dprnns-based-speech-separation icon dual-path-rnns-dprnns-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

espnet icon espnet

End-to-End Speech Processing Toolkit

fftnet icon fftnet

A PyTorch implementation of the FFTNet: a Real-Time Speaker-Dependent Neural Vocoder

listen-attend-spell icon listen-attend-spell

A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.

neurst icon neurst

Neural end-to-end Speech Translation Toolkit

noise2noise icon noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

performer-pytorch icon performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

pycontrast icon pycontrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

pytorch-cifar100 icon 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)

pytorch-qrnn icon pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

pytorch-ssd icon pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

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