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fullsubnet

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

general-network-architecture-for-sound-event-localization-and-detection

This repository consists of python code to train sound event localization and detection models.

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gftnn

Gated Convolutional F-T-LSTM Neural Network

libbcrypt

bcrypt password hash C library

libsamplerate

An audio Sample Rate Conversion library

limuse

PyTorch implementation of LiMuSE

lstm_pit_speech_separation

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

ml-examples

Arm Machine Learning tutorials and examples

ml-zoo

ms-snsd

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

mtfaa-net

Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement

mtfaa-net-1

An unofficial non-causal Tensorflow implementation of "Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement"

murmur3

Murmur3 hash in C

ne10

An open optimized software library project for the ARM® Architecture

netron

Visualizer for neural network, deep learning, and machine learning models

nnaec-neuralnetworkbasedacousticechocancellation

NNAEC-Neural Network based Acoustic Echo Cancellation

noise_reduction

Using Spectral Noise Gating (SNG) techniques to reduce background noise in streaming microphone input for enhanced vocal recognition

nres

Neural Residual Echo Suppressor

nsnet2-denoiser

NSNet2 Deep Noise Suppression (DNS) package

omlsa-mcra

C++ speech enhancement base on OMLSA-MCRA

omnitone

Spatial Audio Rendering on the web.

onnx

Open standard for machine learning interoperability

onnx-simplifier

Simplify your onnx model

optimizer

Actively maintained ONNX Optimizer

padertorch

A collection of common functionality to simplify the design, training and evaluation of machine learning models based on pytorch with an emphasis on speech processing.

papers

A memorandum of papers

percepnet

(Work In Progress) Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

phasen

A unofficial Pytorch implementation of Microsoft's PHASEN

pidtln

Apply machine learning model DTLN for noise suppression and acoustic echo cancellation on Raspberry Pi