Autor: |
Di Carlo, Diego, Deleforge, Antoine, Bertin, Nancy |
Rok vydání: |
2019 |
Předmět: |
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Zdroj: |
International Conferenze on Acoustic, Speech Signal Processing - ICASSP 2019, May 2019, Calgary, United Kingdom |
Druh dokumentu: |
Working Paper |
Popis: |
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. |
Databáze: |
arXiv |
Externí odkaz: |
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