Topic: speech-denoising Goto Github
Some thing interesting about speech-denoising
Some thing interesting about speech-denoising
speech-denoising,This repository contains a PyTorch implementation of U-Net applied on mel-spectograms of audio files for speech denoising.
User: 1rsh
speech-denoising,Unofficial implementation of ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
User: adibian
speech-denoising,Time-Frequency Regularized Overlapping Group Shrinkage
User: alexanderepstein
speech-denoising,NNSE (Neural Network Speech Enhancement) is a speech-denoiser optimized to run on Ambiq's low power platform
Organization: ambiqai
speech-denoising,Machine Learning, Neural Nets, Deep Learning basics
User: ashenoy95
speech-denoising,About Implementation and training of a deep neural network for speech denoising tasks.
User: aubin-tchoi
speech-denoising,Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
User: breizhn
speech-denoising,logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
User: crlandsc
speech-denoising,A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.
User: cyrta
Home Page: http://cyrta.com/awesome-speech-enhancement/
speech-denoising,A neural network for end-to-end speech denoising
User: drethage
speech-denoising,A statistical model-based Speech Enhancement Using MMSE-STSA
User: eesungkim
speech-denoising,Official repository of Spiking-FullSubNet, the Intel N-DNS Challenge Algorithmic Track Winner.
User: haoxiangsnr
Home Page: https://haoxiangsnr.github.io/spiking-fullsubnet/
speech-denoising,A self-supervised speech denoising strategy named Only-Noisy Training (ONT), which solves the speech denoising problem with only noisy audio signals in audio space for the first time.
User: liqingchunnnn
speech-denoising,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 denoising networks using only noisy speech samples.
User: madhavmk
speech-denoising,Official PyTorch Implementation of CleanUNet (ICASSP 2022)
Organization: nvidia
speech-denoising,Deep Recurrent Neural Networks for Source Separation
User: posenhuang
speech-denoising,AI powered speech denoising and enhancement
Organization: resemble-ai
Home Page: https://huggingface.co/spaces/ResembleAI/resemble-enhance
speech-denoising,Removing noise from speech using 1-D & 2-D Convolutional Neural Network (CNN)
User: santoshd97
speech-denoising,A solution of "Bandai Namco Data Science Challenge." The task is to estimate clean mel-spectrogram by removing noise from artificially contaminated noisy one.
User: taro-masuda
Home Page: https://athletix.run/challenges/czaMEOxQG
speech-denoising,An implementation of the paper MetricGAN (ICML 2019) in pytorch with some changes.
User: testzer0
speech-denoising,Speech Denoising using RNNs in Tensorflow
User: varunagarwal97
speech-denoising,
User: vigneshramk
speech-denoising,Denoising speech audio using different types of CNN's combined with MFCC's.
User: wouterbesse
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