首页> 外文会议>Proceedings of the IASTED Multiconferences >AUD-SWIPE-P: A PARALLELIZATION OF THE AUD-SWIPE PITCH ESTIMATION ALGORITHM USING MULTIPLE PROCESSES AND THREADS
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AUD-SWIPE-P: A PARALLELIZATION OF THE AUD-SWIPE PITCH ESTIMATION ALGORITHM USING MULTIPLE PROCESSES AND THREADS

机译:AUD-SWIPE-P:使用多个过程和线程的AUD-SWIPE音高估计算法的并行化

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In this work we implement a parallel version of the pitchrnestimation algorithm Aud-SWIPE. The new implementation,rnAud-SWIPE-P produces a remarkable acceleration,rnmaking it usable in applications where it was not efficientrnbefore because of its high computational cost. We parallelizedrnthe algorithm using multiple threads and processesrnto speed up different steps of the algorithm, and take advantagernof different architectures. The goal for Aud-SWIPEP’srnperformance was to achieve an execution time belowrnthe signal duration, opening the possibility to create a realtimernsoftware using Aud-SWIPE as pitch estimation algorithm.rnThe implementation was evaluated running the algorithmrnin different real-world scenarios. The accelerationrnachieved was around 4.4, compared with the sequential versionrnof the algorithm. In sound files with a sampling frequencyrnof 10 kHz or less, the real time execution goal wasrnfully achieved.
机译:在这项工作中,我们实现了音调刺激算法Aud-SWIPE的并行版本。新的实现rnAud-SWIPE-P产生了惊人的加速,使其可用于以前由于其高计算成本而效率不高的应用中。我们使用多个线程和进程对算法进行并行化,以加快算法的不同步骤,并利用不同的体系结构。 Aud-SWIPEP性能的目标是实现低于信号持续时间的执行时间,从而有可能使用Aud-SWIPE作为音高估计算法来创建实时软件。rn该实现在不同的实际场景中通过运行算法进行评估。与该算法的顺序版本相比,实现的加速度约为4.4。在采样频率为10 kHz或更小的声音文件中,实时执行目标得以实现。

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