A speech database for stress monitoring in the cockpit
Identifieur interne : 000098 ( Main/Merge ); précédent : 000097; suivant : 000099A speech database for stress monitoring in the cockpit
Auteurs : Johannes Luig [Autriche] ; Alois Sontacchi [Autriche]Source :
- Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering [ 0954-4100 ] ; 2014.
English descriptors
- Teeft :
- Adat signal, Aerospace engineering, Airline pilots, Anova comparisons, Anticipatory anxiety, Audio channels, Autonomic balance, Available databases, Certain event, Cmdr, Cockpit communication, Cockpit preparation, Cognitive, Cognitive load, Cognitive stress, Communication channel, Considerable amount, Current mood, Data analysis, Database, Database creation, Electronic music, Emotion recognition, Experimental setup, First officer, Flight programme, Fundamental considerations, Fundamental frequency, Gear crash, General speech database requirements, Generator failure, Global trends, Green elements, Heart rate, Heart rate curves, Heart rate signal, Heart rate trends, Heart rate variability, Heart rates, Human voice, Ight, Ight phases, Ight programme, Ight simulator, Imeche, Johannes luig, Lesson plan, Luig, Maximum degree, Mdmq items, Mdmq results, Measurement device, Measurement technique, Monitoring system, Motion base system, Parameter, Personal statistics, Physiological measures, Proc, Proc imeche part, Programme, Radio communication, Respective event, Respiratory rate, Response capability, Rest period, Same time, Sampling rate, Scenario, Significance matrices, Simulator, Single event, Single utterances, Sontacchi, Speech analysis, Speech commun, Speech data, Speech database, Speech features, Speech parameters, Speech processing, Speech recordings, Speech signal, Speech tempo, Standard deviation, Step size, Strain trajectories, Stress level, Stress monitoring, Stress reactions, Stress recognition, Stress types, Takeo, Task complexity, Task performance, Test design, Test persons, Test subjects, Time windows, Trend values, Universal applicability, Utterance length, Variability, Voice quality measures.
Abstract
This article presents a new database of speech produced under cognitive load for the purpose of non-invasive psychological stress monitoring. The voices and the heart rates of eight airline pilots were recorded while completing an advanced flight simulation programme in a level D full flight simulator. Focusing on real-world applicability, the experiments were designed to yield the maximum degree of realism possible. Evaluation of physiological reference measures in pilots demonstrates that several heart rate variability parameters correlate with speech features derived from the recorded data. The article discusses the evolution of speech monitoring in aviation and proposes that application-orientated research methods can be useful in designing a system for real-world monitoring.
Url:
DOI: 10.1177/0954410012467944
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000945
- to stream Istex, to step Curation: 000895
- to stream Istex, to step Checkpoint: 000005
Links to Exploration step
ISTEX:58DCF03F63E23175CAB36FE2EE2A9D5340A5E1F6Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A speech database for stress monitoring in the cockpit</title>
<author><name sortKey="Luig, Johannes" sort="Luig, Johannes" uniqKey="Luig J" first="Johannes" last="Luig">Johannes Luig</name>
</author>
<author><name sortKey="Sontacchi, Alois" sort="Sontacchi, Alois" uniqKey="Sontacchi A" first="Alois" last="Sontacchi">Alois Sontacchi</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:58DCF03F63E23175CAB36FE2EE2A9D5340A5E1F6</idno>
<date when="2014" year="2014">2014</date>
<idno type="doi">10.1177/0954410012467944</idno>
<idno type="url">https://api.istex.fr/document/58DCF03F63E23175CAB36FE2EE2A9D5340A5E1F6/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000945</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000945</idno>
<idno type="wicri:Area/Istex/Curation">000895</idno>
<idno type="wicri:Area/Istex/Checkpoint">000005</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000005</idno>
<idno type="wicri:doubleKey">0954-4100:2014:Luig J:a:speech:database</idno>
<idno type="wicri:Area/Main/Merge">000098</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A speech database for stress monitoring in the cockpit</title>
<author><name sortKey="Luig, Johannes" sort="Luig, Johannes" uniqKey="Luig J" first="Johannes" last="Luig">Johannes Luig</name>
<affiliation><wicri:noCountry code="syntax">???</wicri:noCountry>
</affiliation>
<affiliation wicri:level="1"><country xml:lang="fr">Autriche</country>
<wicri:regionArea>Institute of Electronic Music and Acoustics, University of Music and Performing Arts, Graz</wicri:regionArea>
<wicri:noRegion>Graz</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Sontacchi, Alois" sort="Sontacchi, Alois" uniqKey="Sontacchi A" first="Alois" last="Sontacchi">Alois Sontacchi</name>
<affiliation><wicri:noCountry code="syntax">???</wicri:noCountry>
</affiliation>
<affiliation wicri:level="1"><country xml:lang="fr">Autriche</country>
<wicri:regionArea>Institute of Electronic Music and Acoustics, University of Music and Performing Arts, Graz</wicri:regionArea>
<wicri:noRegion>Graz</wicri:noRegion>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering</title>
<idno type="ISSN">0954-4100</idno>
<idno type="eISSN">2041-3025</idno>
<imprint><publisher>SAGE Publications</publisher>
<pubPlace>Sage UK: London, England</pubPlace>
<date type="published" when="2014">2014</date>
<biblScope unit="volume">228</biblScope>
<biblScope unit="issue">2</biblScope>
<biblScope unit="page" from="284">284</biblScope>
<biblScope unit="page" to="296">296</biblScope>
</imprint>
<idno type="ISSN">0954-4100</idno>
</series>
<idno type="istex">58DCF03F63E23175CAB36FE2EE2A9D5340A5E1F6</idno>
<idno type="DOI">10.1177/0954410012467944</idno>
<idno type="ArticleID">10.1177_0954410012467944</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0954-4100</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="Teeft" xml:lang="en"><term>Adat signal</term>
<term>Aerospace engineering</term>
<term>Airline pilots</term>
<term>Anova comparisons</term>
<term>Anticipatory anxiety</term>
<term>Audio channels</term>
<term>Autonomic balance</term>
<term>Available databases</term>
<term>Certain event</term>
<term>Cmdr</term>
<term>Cockpit communication</term>
<term>Cockpit preparation</term>
<term>Cognitive</term>
<term>Cognitive load</term>
<term>Cognitive stress</term>
<term>Communication channel</term>
<term>Considerable amount</term>
<term>Current mood</term>
<term>Data analysis</term>
<term>Database</term>
<term>Database creation</term>
<term>Electronic music</term>
<term>Emotion recognition</term>
<term>Experimental setup</term>
<term>First officer</term>
<term>Flight programme</term>
<term>Fundamental considerations</term>
<term>Fundamental frequency</term>
<term>Gear crash</term>
<term>General speech database requirements</term>
<term>Generator failure</term>
<term>Global trends</term>
<term>Green elements</term>
<term>Heart rate</term>
<term>Heart rate curves</term>
<term>Heart rate signal</term>
<term>Heart rate trends</term>
<term>Heart rate variability</term>
<term>Heart rates</term>
<term>Human voice</term>
<term>Ight</term>
<term>Ight phases</term>
<term>Ight programme</term>
<term>Ight simulator</term>
<term>Imeche</term>
<term>Johannes luig</term>
<term>Lesson plan</term>
<term>Luig</term>
<term>Maximum degree</term>
<term>Mdmq items</term>
<term>Mdmq results</term>
<term>Measurement device</term>
<term>Measurement technique</term>
<term>Monitoring system</term>
<term>Motion base system</term>
<term>Parameter</term>
<term>Personal statistics</term>
<term>Physiological measures</term>
<term>Proc</term>
<term>Proc imeche part</term>
<term>Programme</term>
<term>Radio communication</term>
<term>Respective event</term>
<term>Respiratory rate</term>
<term>Response capability</term>
<term>Rest period</term>
<term>Same time</term>
<term>Sampling rate</term>
<term>Scenario</term>
<term>Significance matrices</term>
<term>Simulator</term>
<term>Single event</term>
<term>Single utterances</term>
<term>Sontacchi</term>
<term>Speech analysis</term>
<term>Speech commun</term>
<term>Speech data</term>
<term>Speech database</term>
<term>Speech features</term>
<term>Speech parameters</term>
<term>Speech processing</term>
<term>Speech recordings</term>
<term>Speech signal</term>
<term>Speech tempo</term>
<term>Standard deviation</term>
<term>Step size</term>
<term>Strain trajectories</term>
<term>Stress level</term>
<term>Stress monitoring</term>
<term>Stress reactions</term>
<term>Stress recognition</term>
<term>Stress types</term>
<term>Takeo</term>
<term>Task complexity</term>
<term>Task performance</term>
<term>Test design</term>
<term>Test persons</term>
<term>Test subjects</term>
<term>Time windows</term>
<term>Trend values</term>
<term>Universal applicability</term>
<term>Utterance length</term>
<term>Variability</term>
<term>Voice quality measures</term>
</keywords>
</textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">This article presents a new database of speech produced under cognitive load for the purpose of non-invasive psychological stress monitoring. The voices and the heart rates of eight airline pilots were recorded while completing an advanced flight simulation programme in a level D full flight simulator. Focusing on real-world applicability, the experiments were designed to yield the maximum degree of realism possible. Evaluation of physiological reference measures in pilots demonstrates that several heart rate variability parameters correlate with speech features derived from the recorded data. The article discusses the evolution of speech monitoring in aviation and proposes that application-orientated research methods can be useful in designing a system for real-world monitoring.</div>
</front>
</TEI>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sarre/explor/MusicSarreV3/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000098 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 000098 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Sarre |area= MusicSarreV3 |flux= Main |étape= Merge |type= RBID |clé= ISTEX:58DCF03F63E23175CAB36FE2EE2A9D5340A5E1F6 |texte= A speech database for stress monitoring in the cockpit }}
This area was generated with Dilib version V0.6.33. |