Journal article Open Access
D'Amario, Sara;
Helena Daffern;
Freya Bailes
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.1241000</identifier> <creators> <creator> <creatorName>D'Amario, Sara</creatorName> <givenName>Sara</givenName> <familyName>D'Amario</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5976-0624</nameIdentifier> <affiliation>Department of Electronic Engineering, University of York</affiliation> </creator> <creator> <creatorName>Helena Daffern</creatorName> <affiliation>Department of Electronic Engineering, University of York</affiliation> </creator> <creator> <creatorName>Freya Bailes</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2723-3579</nameIdentifier> <affiliation>School of Music, University of Leeds</affiliation> </creator> </creators> <titles> <title>A New Method of Onset and Offset Detection in Ensemble Singing</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2018</publicationYear> <contributors> <contributor contributorType="DataManager"> <contributorName>D'Amario, Sara</contributorName> <givenName>Sara</givenName> <familyName>D'Amario</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5976-0624</nameIdentifier> <affiliation>Department of Electronic Engineering, University of York</affiliation> </contributor> <contributor contributorType="ContactPerson"> <contributorName>D'Amario, Sara</contributorName> <givenName>Sara</givenName> <familyName>D'Amario</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5976-0624</nameIdentifier> <affiliation>Department of Electronic Engineering, University of York</affiliation> </contributor> </contributors> <dates> <date dateType="Issued">2018-05-04</date> </dates> <resourceType resourceTypeGeneral="JournalArticle"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1241000</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1240999</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>This repository contains the data set related to the paper &ldquo;A New Method of Onset and Offset Detection in Ensemble Singing&rdquo;, published in Logopedics Phoniatrics Vocology and available at:&nbsp;<a href="https://doi.org/10.1080/14015439.2018.1452977">DOI: 10.1080/14015439.2018.1452977</a>. Specifically, the following data are included: i) details of the randomized order of conditions applied to the study, and ii) the fundamental frequency estimates (in Hertz) and the corresponding timestamps (in s) extracted from the audio and electrolaryngograph (Lx) recordings collected for the study. The audio signals were extracted from the head-mounted microphones. The recordings were performed by two singing duets, named Pilot 1 and Pilot 2 in the data set. Please cite both the paper and&nbsp;dataset if used.</p> <p>-------------</p> <p>Dataset curated by: Sara D&#39;Amario, Audio Lab, Department of Electronic Engineering, University of York.<br> Contact: sda513@york.ac.uk</p></description> </descriptions> </resource>
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