Voice Assistant Project
-
Updated
May 22, 2019 - Python
Voice Assistant Project
Host application for RWLT underwater acoustic tracking system
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.
Orthogonal Codes for Acoustic Underwater Localization
Robotic Voice Assistant equipped with Binaural Audio Project
This project's aim is to calculate localized coordinates of a sound source using three ESP32 microcontrollers and digital microphones.
TDOA Localisation using MLE and BLUE.
System for Acoustic Detection and Localization Based on Two Microphones
A gimbal mounted array of microphones that orients itself toward sound
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.
Timescale processing library
Neural Generalized Cross Correlations https://arxiv.org/abs/2208.04654
A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer” [TASLP 2024]
Time difference of arrival (TDoA) multi-lateration
Matlab Scripts for Evaluation of a TDOA System based on RTL-SDRs
Add a description, image, and links to the tdoa topic page so that developers can more easily learn about it.
To associate your repository with the tdoa topic, visit your repo's landing page and select "manage topics."