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Fast Implementation of a Bayesian Unsupervised Segmentation Algorithm
[article]
2018
arXiv
pre-print
In a recent paper, we have proposed an unsupervised algorithm for audio signal segmentation entirely based on Bayesian methods. In its first implementation, however, the method showed poor computational performance. In this paper we address this question by describing a fast parallel implementation using the Cython library for Python; we use open GSL methods for standard mathematical functions, and the OpenMP framework for parallelization. We also offer a detailed analysis on the sensibility of
arXiv:1803.01801v2
fatcat:3yb447oodrdq7fdetrfoya74mq