DeepAI AI Chat
Log In Sign Up

A Bayesian binary algorithm for RMS-based acoustic signal segmentation

02/17/2019
by   Paulo Hubert, et al.
0

Changepoint analysis (also known as segmentation analysis) aims at analyzing an ordered, one-dimensional vector, in order to find locations where some characteristic of the data changes. Many models and algorithms have been studied under this theme, including models for changes in mean and / or variance, changes in linear regression parameters, etc. In this work, we are interested in an algorithm for the segmentation of long duration acoustic signals; the segmentation is based on the change of the RMS power of the signal. We investigate a Bayesian model with two possible parameterizations, and propose a binary algorithm in two versions, using non-informative or informative priors. We apply our algorithm to the segmentation of annotated acoustic signals from the Alcatrazes marine preservation park in Brazil.

READ FULL TEXT

page 15

page 16

01/24/2022

Microphone Utility Estimation in Acoustic Sensor Networks using Single-Channel Signal Features

In multichannel signal processing with distributed sensors, choosing the...
08/23/2022

cpop: Detecting changes in piecewise-linear signals

Changepoint detection is an important problem with applications across m...
07/15/2022

Data Segmentation for Time Series Based on a General Moving Sum Approach

In this paper we propose new methodology for the data segmentation, also...
08/13/2019

Estimating Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling

The advance of technology for transmitting Data-over-Sound in various Io...
12/03/2019

Design of an algorithm for acoustic signal detection of moving vehicles

The precise detection and counting of vehicles is fundamental to know th...
10/26/2016

Automatic measurement of vowel duration via structured prediction

A key barrier to making phonetic studies scalable and replicable is the ...
03/05/2018

Fast Implementation of a Bayesian Unsupervised Segmentation Algorithm

In a recent paper, we have proposed an unsupervised algorithm for audio ...