Parallel SRP-PHAT for GPUs
- Authors
- Lee, Taewoo; Chang, Sukmoon; Yook, Dongsuk
- Issue Date
- 1월-2016
- Publisher
- ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
- Keywords
- Sound source localization; SRP-PHAT; GPUs
- Citation
- COMPUTER SPEECH AND LANGUAGE, v.35, pp.1 - 13
- Indexed
- SCIE
SCOPUS
- Journal Title
- COMPUTER SPEECH AND LANGUAGE
- Volume
- 35
- Start Page
- 1
- End Page
- 13
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/89954
- DOI
- 10.1016/j.csl.2015.05.002
- ISSN
- 0885-2308
- Abstract
- The steered response power phase transform (SRP-PHAT) is one of the widely used algorithms for sound source localization. Since it must examine a large number of candidate sound source locations, conventional SRP-PHAT approaches may not be used in real time. To overcome this problem, an effort was made previously to parallelize the SRP-PHAT on graphics processing units (GPUs). However, the full capacities of the GPU were not exploited since on-chip memory usage was not addressed. In this paper, we propose GPU-based parallel algorithms of the SRP-PHAT both in the frequency domain and time domain. The proposed methods optimize the memory access patterns of the SRP-PHAT and efficiently use the on-chip memory. As a result, the proposed methods demonstrate a speedup of 1276 times in the frequency domain and 80 times in the time domain compared to CPU-based algorithms, and 1.5 times in the frequency domain and 6 times in the time domain compared to conventional GPU-based methods. (C) 2015 Elsevier Ltd. All rights reserved.
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