# Mirage: 2D Source Localization Using Microphone Pair Augmentation with Echoes

arXiv: https://arxiv.org/abs/1906.08968 · HTML: https://mlsanity.com/paper/1906.08968/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Jun 2019.

## Built on by (most cited first, 3 of 3)

- [Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings](https://mlsanity.com/paper/2107.13832/) (2021)
- [Audio scene monitoring using redundant ad-hoc microphone array networks](https://mlsanity.com/paper/2103.01830/) (2021)
- [SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generation](https://mlsanity.com/paper/2106.12992/) (2021)

## Abstract (arXiv)

It is commonly observed that acoustic echoes hurt performance of sound source localization (SSL) methods. We introduce the concept of microphone array augmentation with echoes (MIRAGE) and show how estimation of early-echo characteristics can in fact benefit SSL. We propose a learning-based scheme for echo estimation combined with a physics-based scheme for echo aggregation. In a simple scenario involving 2 microphones close to a reflective surface and one source, we show using simulated data that the proposed approach performs similarly to a correlation-based method in azimuth estimation while retrieving elevation as well from 2 microphones only, an impossible task in anechoic settings.