Stars
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
Production First and Production Ready End-to-End Speech Recognition Toolkit
Code and hyperparameters for the paper "Generative Adversarial Networks"
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…
Self-Supervised Speech Pre-training and Representation Learning Toolkit
Speech Enhancement Generative Adversarial Network in TensorFlow
A neural network for end-to-end speech denoising
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
Speech Enhancement Generative Adversarial Network in PyTorch
deep learning based speech enhancement using keras or pytorch, make it easy to use
Real-time GCC-NMF Blind Speech Separation and Enhancement
Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.
Speech Denoising with Deep Feature Losses
Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
Training a neural network to predict the outcome of a football match using fifa ratings
Samples for Multi GPUs in TensorFlow
本项目使用中文人声的数据集,在Speech Denoising with Deep Feature Losses网络的基础上fine-tune,得到对中文音频有更好去噪效果的结果
Include some core functions and model to handle speech separation