# Fast and Robust 3-D Sound Source Localization with DSVD-PHAT

arXiv: https://arxiv.org/abs/1907.12621 · HTML: https://mlsanity.com/paper/1907.12621/

## Key facts

- Cited by 1 papers in the map (data through 19 Oct 2026).
- First posted on arXiv 29 Jul 2019.

## Built on by (most cited first, 1 of 1)

- [Spatial Speech Perception Systems: A Survey of Sound Source Localization, Directional Enhancement, and Speech Recognition](https://mlsanity.com/paper/2607.02296/) (2026)

## Abstract (arXiv)

This paper introduces a variant of the Singular Value Decomposition with Phase Transform (SVD-PHAT), named Difference SVD-PHAT (DSVD-PHAT), to achieve robust Sound Source Localization (SSL) in noisy conditions. Experiments are performed on a Baxter robot with a four-microphone planar array mounted on its head. Results show that this method offers similar robustness to noise as the state-of-the-art Multiple Signal Classification based on Generalized Singular Value Decomposition (GSVD-MUSIC) method, and considerably reduces the computational load by a factor of 250. This performance gain thus makes DSVD-PHAT appealing for real-time application on robots with limited on-board computing power.