From 5e0a61b66814369da9051e1b2685553547f42355 Mon Sep 17 00:00:00 2001 From: mkachlicka <55088056+mkachlicka@users.noreply.github.com> Date: Fri, 29 Dec 2023 23:31:15 +0000 Subject: [PATCH] update --- about.html | 121 ++++++++++++++++++++++++++++++++++++++++++++++++++ dataset.html | 65 +++++++++++++++++---------- index.html | 4 +- research.html | 22 +-------- 4 files changed, 167 insertions(+), 45 deletions(-) create mode 100644 about.html diff --git a/about.html b/about.html new file mode 100644 index 0000000..43ba8ad --- /dev/null +++ b/about.html @@ -0,0 +1,121 @@ + + + + + +About + + + + + + + + + + + + + + +
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About

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The EnviSounds dataset aims to remedy the shortcomings of the existing resources. It comprises a comprehensive selection of 530 environmental sounds covering categories at different levels of complexity and different sounds produced by the same sound source. Complemented by the additional insight about sounds’ acoustic variability and norms from behavioural studies, it enables researchers to select items for experiments based on the desired categories or specific criteria across a range of acoustic features. The dataset can be used for specifying training sets with individual sound sources, defining the boundaries of various categories or providing additional variables to building prediction models. Our dataset allows for exploring long-neglected issues of within-class variability and between-class confusion by providing multiple exemplars of each class and a selection of acoustic descriptors and normative data. We believe it will be a valuable resource for behavioural and neuroimaging research.

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For more information or specific inquiries please contact Magdalena Kachlicka at m.kachlicka@bbk.ac.uk

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Uses of EnviSounds

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TBC

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Please get in touch if you would like to add sounds, features or have new ideas on how to expand or use the dataset.

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Last modified 2023/12/29

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Designed by @mkachlicka

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About

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Introduction

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TBC.

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Sounds

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TBC.

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Acoustics

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The EnviSounds dataset aims to remedy the shortcomings of the existing resources. It comprises a comprehensive selection of 530 environmental sounds covering categories at different levels of complexity and different sounds produced by the same sound source. Complemented by the additional insight about sounds’ acoustic variability and norms from behavioural studies, it enables researchers to select items for experiments based on the desired categories or specific criteria across a range of acoustic features. The dataset can be used for specifying training sets with individual sound sources, defining the boundaries of various categories or providing additional variables to building prediction models. Our dataset allows for exploring long-neglected issues of within-class variability and between-class confusion by providing multiple exemplars of each class and a selection of acoustic descriptors and normative data. We believe it will be a valuable resource for behavioural and neuroimaging research.

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Selection of the acoustic features was inspired by previous research in audio content analysis (Lerch, 2012), with emphasis on the applications in environmental sound recognition and classification (e.g., Keller & Berger, 2001; Peltonen et al., 2002; Cai et al., 2006; Muhammad & Alghatabar, 2009; Leaver & Rauschecker, 2010; Velero & Alias, 2010; for review see: Alias, Socoro, & Sevillano, 2016; Serizel, Bisot, Essid, & Richard, 2017). We included features which were shown to perform well in describing and parameterising environmental sounds. The list of selected features is not exhaustive, but based on the usefulness of those features in previous research it should provide a good starting point for considering variability in the acoustic structure of environmental sounds.

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Semantics

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TBC.

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Norms

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TBC.

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Explore

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TBC.

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    Morbi Bibendum

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    Last modified 2023/12/04

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    Last modified 2023/12/29

    Designed by @mkachlicka

    diff --git a/research.html b/research.html index bb03c35..7aac19e 100644 --- a/research.html +++ b/research.html @@ -6,29 +6,11 @@ Publications - - - - -