A re-implementation of the Wavelets package using Cython to improve the speed.
Audio denoising in real-time powered by artificial intelligence Python-friendly. Cross-platform. Check ROADMAP!
B.tech Major project
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
DeepXi with Flask Server
基于深度学习的语音增强工具(Speech Enhancement Tools Based on Deep Learning)
Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique
Python based audio denoiser 🔉
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…
Code to train a custom time-domain autoencoder to dereverb audio
DeepSuppressor: A deep learning-based approach to speech denoising
Machine and Reinforcement Learning at Lunds University
Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)
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.
Simple PyTorch Denoisers for Waveform Audio
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.
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