可本地部署的AI语音工具箱 | A user-friendly audio toolkit for voice recognition, voice transcription, voice conversion etc.

Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoisi…

Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique

基于深度学习的语音增强工具(Speech Enhancement Tools Based on Deep Learning)

Simple PyTorch Denoisers for Waveform Audio

Uses machine learning to denoise audio containing speech

logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.

Python based audio denoiser 🔉

A re-implementation of the Wavelets package using Cython to improve the speed.

DeepSuppressor: A deep learning-based approach to speech denoising

Paper Name: Complex Convolution Neural Network model (Complex DeepLab v3) on STFT time-varying frequency components for audio denoising Creating a Complex Deep Lab v3 model for audio denoising using STFT complex mask Dataset from: https://datashare.is.ed.ac.uk/handle/10283/2791

A CNN-based audio denoiser

Code to train a custom time-domain autoencoder to dereverb audio

Audio denoising in real-time powered by artificial intelligence Python-friendly. Cross-platform. Check ROADMAP!

DeepXi with Flask Server

B.tech Major project

Тестовое задание audio denoising

An attempt to run DTLN with mostly C code.

Machine and Reinforcement Learning at Lunds University