Speech Enhancement Generative Adversarial Network Based on Asymmetric AutoEncoder

Related tags

Deep Learningpytorchdeeplearningspeech-processingspeechenhancement
Overview

ASEGAN: Speech Enhancement Generative Adversarial Network Based on Asymmetric AutoEncoder

中文版简介
Readme with English Version

介绍

基于SEGAN模型的改进版本，使用自主设计的非对称自编码结构替换原有的全卷积结构，使得模型在保持原有性能的条件下更加轻量化。
（本模型未在任何期刊发布）

软件架构

structure

安装教程

  1. 安装必要库
    Anaconda
    cuda
    cudnn
  2. 创建python环境
    conda create -n ASEGAN python=3.8
    conda activate ASEGAN
  3. 安装必要环境
    pip install -r requirements.txt
    或者conda install --yes --file requirements.txt

使用说明

使用前检查config/config.yaml中参数配置是否正确，数据集文件结构参考data文件夹中结构
  1. 数据预处理
    python data_preprocess.py
  2. 模型训练
    python train.py
  3. 模型测试
    python test.py

预训练模型下载

百度网盘，提取码6793
GoogleDrive
预训练模型命名方式为‘数据集-训练周期-数据量.pkl’

Owner
Nitin
Nitin
GitHub Repository
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