Real-time GCC-NMF Blind Speech Separation and Enhancement

🎤 Microphone sound source localization by SRP-PHAT and others numerical methods.（基于SRP-PHAT的麦克风声源定位）

Multilanguage (C#/Matlab/Rust) library for solving navigation (2D/3D) & geodetic problems: Multilateration (true range), Time-Of-Arrival (TOA), Time-Difference-Of-Arrival (TDOA), Angle-Of-Arrival AOA (Direction-Of-Arrival, DOA); Direct & inverse geodetic problems: Vincenty equations, Haversine formula; Virtual Long Baseline navigation (VLBL) etc.

TDOA based on GCC-PHAT

Matlab Scripts for Evaluation of a TDOA System based on RTL-SDRs

Weighted Spatial Covariance Matrix Estimation for MUSIC based TDOA Estimation of Speech Source

Time difference of arrival (TDoA) multi-lateration

A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer” [TASLP 2024]

Neural Generalized Cross Correlations https://arxiv.org/abs/2208.04654

Modified librtlsdr with switch between two receive frequencies

a Python 2/3 GUI for automated TDoA recording & processing

Timescale processing library

In this repository, we deal with developing different estimators to localize Transvahan - the e-vehicle on IISc Campus using measurements from receivers at four different locations in IISc and implementing and evaluating the performance of the estimators that we have derived.

A gimbal mounted array of microphones that orients itself toward sound

TDOA Localisation using MLE and BLUE.

System for Acoustic Detection and Localization Based on Two Microphones

Pysoundlocalization aims to localize stationary and moving sound sources in polyphonic, noisy environments using sensors placed around the sound source(s). The library offers ready-for-use implementations to support sound source localization based on time difference of arrival (TDoA) and multilateration.

This project's aim is to calculate localized coordinates of a sound source using three ESP32 microcontrollers and digital microphones.

Sensor fusion in vehicle localisation and tracking is a powerful technique that combines multiple data sources for enhanced accuracy. This project applies and compares two TDOA sensor networks and WLS and Kalman Filter based localisation and tracking techniques.

Robotic Voice Assistant equipped with Binaural Audio Project