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DeepRIRNet is a PyTorch framework for generating and predicting room impulse responses (RIRs) with deep recurrent neural networks, physics-inspired regularizers, and transfer learning capabilities …
This repository contains code for the generation of binaural Room Impulse Responses using the Paraspax method and implementing a 6 DoF environment using optical tracking.
Writing AI Conference Papers: A Handbook for Beginners
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LeetCode, Important Pattern, NeetCode, Blind75, Free Premium Books: DSA
Blind 75 is a set of 75 problems from Leetcode to prepare for interviews
Acoustic impulse response generation using diffusion models
Machine Learning applied to sound
Automation Tool Scripts to get notification when Vac Dates are Available in US Visa Portal . Email Notifier will notifiy when interview Dates are Available. Stack Used : Puppeteer,Node js,Chron Job…
US VISA (usvisa-info) appointment re-scheduler bot with python.
Real Acoustic Fields An Audio-Visual Room Acoustics Dataset and Benchmark
thomasdeppisch / sfs-matlab
Forked from sfstoolbox/sfs-matlabSFS Toolbox for Matlab/Octave
Collection of Summer 2026 tech internships!
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
MetaBalance algorithm for multi-task learning
[TASLP 2025] The pytorch implementation of BERP: A Blind Estimator of Room Parameters
A curated list of awesome Machine Learning frameworks, libraries and software.
Room Impulse Response reconstruction with Physics Informed Neural Networks
Deep generative models for extending the bandwidth of reconstructed room impulse responses corrupted by undersampling.
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
The End-to-End Magnitude Least Squares Binaural Renderer for Spherical Microphone Array Signals
Direct and Residual Subspace Decomposition of Spatial Room Impulse Responses
A collection of audio signals accompanied by corresponding subjective scores of perceived quality. Everything under permissive licenses.