A longitudinal database of Irish political speech with annotations of speaker ability.
This paper presents the Irish Political Speech Database, an English-language database collected from Irish political recordings. The database is collected with automated indexing and content retrieval in mind, and thus is gathered from real-world recordings (such as television interviews and electio...
| Published in: | Language Resources & Evaluation Vol. 52; no. 2; pp. 401 - 433 |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Published: |
Springer Nature
Jun2018
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=129593484&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 129593484 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Jun2018 vid: 52 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 129593484 10.1007/s10579-017-9401-z ppf: 401 ppct: 32 formats: fmt: – @attributes: type: T – @attributes: type: P size: 899KB tig: atl: A longitudinal database of Irish political speech with annotations of speaker ability. aug: au: Cullen, Ailbhe Harte, Naomi affil: Sigmedia, ADAPT Centre, School of Engineering, Trinity College, Dublin, Ireland su: Political oratory English language Paralinguistics Affective computing Machine learning sug: subj: Political oratory English language Paralinguistics Affective computing Machine learning keyword: Charisma Computational paralinguistics Political speech Speaker ability ab: This paper presents the Irish Political Speech Database, an English-language database collected from Irish political recordings. The database is collected with automated indexing and content retrieval in mind, and thus is gathered from real-world recordings (such as television interviews and election rallies) which represent the nature and quality of recordings which will be encountered in practical applications. The database is labelled for six speaker attributes: boring; charismatic; enthusiastic; inspiring; likeable; and persuasive. Each of these traits is linked to the perceived ability or appeal of the speaker, and as such are relevant to a range of content retrieval and speech analysis tasks. The six base attributes are combined to form a metric of Overall Speaker Appeal. A set of baseline experiments is presented, which demonstrate the potential of this database for affective computing studies. Classification accuracies of up to 76% are achieved, with little feature or system optimisation. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2018. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
|---|