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This GitHub repo is a powerhouse collection of scraping APIs for developers that you can start using immediately to build everything from simple automations to full-scale applications.
PyTorch implementation of the Perceptual Evaluation of Speech Quality for wideband audio
A high-level toolbox for using complex valued neural networks in PyTorch
Supporting PyTorch models with the Google AI Edge TFLite runtime.
Two conversational AI agents switching from English to sound-level protocol after confirming they are both AI agents
On-device AI across mobile, embedded and edge for PyTorch
PyTorch native quantization and sparsity for training and inference
Flops counter for neural networks in pytorch framework
Code for the paper Hybrid Spectrogram and Waveform Source Separation
This repository contains some material of speech enhancement and dereverberation. On the one hand, I summarize this work for my further understanding. On the other hand, I hope that all beginners o…
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
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 ca…
Causal depthwise conv1d in CUDA, with a PyTorch interface
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
Experimenting with Lapped Transforms Jupyter Notebook
Speech Enhancement Generative Adversarial Network in PyTorch
Speech Enhancement Generative Adversarial Network in TensorFlow