@conference {395, title = {AUD-SWIPE-P: A Parallelization of the AUD-SWIPE Pitch Estimation Algorithm Using Multiple Processes and Threads}, booktitle = {Parallel and Distributed Computing and Networks - PDCN 2013}, year = {2013}, address = {Innsbruck, Austria}, abstract = {

In this work we implement a parallel version of the pitch\ estimation algorithm Aud-SWIPE. The new implementa-tion, Aud-SWIPE-P produces a remarkable acceleration,\ making it usable in applications where it was not efficient\ before because of its high computational cost. We paral-lelized the algorithm using multiple threads and processes\ to speed up different steps of the algorithm, and take advan-tage of different architectures. The goal for Aud-SWIPE-P{\textquoteright}s performance was to achieve an execution time below\ the signal duration, opening the possibility to create a real-time software using Aud-SWIPE as pitch estimation algo-rithm. The implementation was evaluated running the al-gorithm in different real-world scenarios. The acceleration\ achievedwas around 4.4, comparedwith the sequential ver-sion of the algorithm. In sound files with a sampling fre-quency of 10 kHz or less, the real time execution goal was\ fully achieved.

}, keywords = {MPI-2, multiple processes, multiple threads, Pitch detection}, doi = {10.2316/P.2013.795-013}, author = {Calder{\'o}n, Sa{\'u}l and Alvarado, Gabriel and Camacho, Arturo} }