LocaGen: Sub-Sample Time-Delay Learning for Beam Localization

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kunwar, Ishaan, Cantor, Henry, Rizzo, Tyler, Qayyum, Ayaan
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866917133454147584
author Kunwar, Ishaan
Cantor, Henry
Rizzo, Tyler
Qayyum, Ayaan
author_facet Kunwar, Ishaan
Cantor, Henry
Rizzo, Tyler
Qayyum, Ayaan
contents The goal of LocaGen is to improve the localization performance of audio signals in the 2-D beam localization problem. LocaGen reduces sampling quantization errors through machine learning models trained on realistic synthetic data generated by a simulation. The system increases the accuracy of both direction-of-arrival (DOA) and precise location estimation of an audio beam from an array of three microphones. We demonstrate LocaGen's efficacy on a low-powered embedded system with an increased localization accuracy with a minimal increase in real-time resource usage. LocaGen was demonstrated to reduce DOA error by approximately 67% even with a microphone array of only 10 kHz in audio processing.
format Preprint
id arxiv_https___arxiv_org_abs_2512_07872
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle LocaGen: Sub-Sample Time-Delay Learning for Beam Localization
Kunwar, Ishaan
Cantor, Henry
Rizzo, Tyler
Qayyum, Ayaan
Sound
Audio and Speech Processing
Signal Processing
The goal of LocaGen is to improve the localization performance of audio signals in the 2-D beam localization problem. LocaGen reduces sampling quantization errors through machine learning models trained on realistic synthetic data generated by a simulation. The system increases the accuracy of both direction-of-arrival (DOA) and precise location estimation of an audio beam from an array of three microphones. We demonstrate LocaGen's efficacy on a low-powered embedded system with an increased localization accuracy with a minimal increase in real-time resource usage. LocaGen was demonstrated to reduce DOA error by approximately 67% even with a microphone array of only 10 kHz in audio processing.
title LocaGen: Sub-Sample Time-Delay Learning for Beam Localization
topic Sound
Audio and Speech Processing
Signal Processing
url https://arxiv.org/abs/2512.07872