Picture for Alberto N. Escalante-B.

Alberto N. Escalante-B.

DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement

Add code
May 14, 2023
Viaarxiv icon

Deep Multi-Frame Filtering for Hearing Aids

Add code
May 14, 2023
Viaarxiv icon

DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio

Add code
May 11, 2022
Figure 1 for DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio
Figure 2 for DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio
Figure 3 for DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio
Figure 4 for DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio
Viaarxiv icon

DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering

Add code
Oct 11, 2021
Figure 1 for DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
Figure 2 for DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
Figure 3 for DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
Figure 4 for DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
Viaarxiv icon

Measuring the Data Efficiency of Deep Learning Methods

Add code
Jul 03, 2019
Figure 1 for Measuring the Data Efficiency of Deep Learning Methods
Figure 2 for Measuring the Data Efficiency of Deep Learning Methods
Figure 3 for Measuring the Data Efficiency of Deep Learning Methods
Figure 4 for Measuring the Data Efficiency of Deep Learning Methods
Viaarxiv icon

Improved graph-based SFA: Information preservation complements the slowness principle

Add code
Jan 15, 2016
Figure 1 for Improved graph-based SFA: Information preservation complements the slowness principle
Figure 2 for Improved graph-based SFA: Information preservation complements the slowness principle
Figure 3 for Improved graph-based SFA: Information preservation complements the slowness principle
Figure 4 for Improved graph-based SFA: Information preservation complements the slowness principle
Viaarxiv icon

Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs

Add code
Sep 28, 2015
Figure 1 for Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs
Figure 2 for Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs
Figure 3 for Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs
Figure 4 for Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs
Viaarxiv icon