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.

building blocks to create voice interface applications

A high-resolution direction-of-arrival finding algorithm relying on finite rate of innovation sampling with a robust reconstruction algorithm.

Project for finding beacon location using Angle of Arrival (AoA) signal. The Direction of Arrival estimation is based on the MUltiple SIgnal Classification (MUSIC) algorithm here.

Examples to use ReSpeaker series Mic Arrays on Raspberry Pi

Parametric analysis of MUSIC algorithm for Angle of Arrival estimation in Python

DOA etimation algorithms implemented in Python for ULA, UCA and broadband/wideband DOA estimation

Performed Sound Source Localization in a Reverberant Environment

48-Channel Anechoic Audio Recordings of 3D Sources

Online Indoor Localization Using DOA of Wireless Signals

This project develops an autonomous hexapod robot using auditory scene analysis for navigation. It integrates sound source localization (DOA) and beamforming via ODAS with a circular microphone array for precise spatial detection. A machine learning-based Keyword Spotting (KWS) module enables voice command recognition for human-robot interaction.

Speaker localization algorithms in the meeting context

Sofi - Final report and presentation

building blocks to create voice interface applications