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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Forensic phonetics and automatic speaker recognition Watt, Dominic; Brown, Georgina. - : Routledge, 2020 BASE Show details 2 General Northern English. Exploring regional variation in the North of England with machine learning Strycharczuk, Patrycja; Lopez-Ibanez, Manu; Brown, Georgina. - 2020 BASE Show details 3 General Northern English. Exploring Regional Variation in the North of England With Machine Learning Strycharczuk, Patrycja; López-Ibáñez, Manuel; Brown, Georgina... In: Front Artif Intell (2020) BASE Show details 4 Investigating the FOOT-STRUT distinction in Northern Englishes using crowdsourced data. Strycharczuk, Patrycja; Brown, Georgina; Leemann, Adrian. - 2019 BASE Show details 5 Investigating the FOOT-STRUT distinction in Northern Englishes using crowdsourced data Brown, Georgina; Strycharczuk, Patjcia; Britain, David... In: Strycharczuk, Patjcia; Brown, Georgina; Leemann, Adrian; Britain, David (2019). Investigating the FOOT-STRUT distinction in Northern Englishes using crowdsourced data. In: 19th International Congress of Phonetic Sciences, Melbourne, Australia, 5 August 2019 - 9 August 2019, 1337-1341. (2019) BASE Show details 6 Segmental Content Effects on Text-dependent Automatic Accent Recognition Brown, Georgina. - : ISCA, 2018 BASE Show details 7 Automatic Sociophonetics:Exploring corpora using a forensic accent recognition system Brown, Georgina; Wormald, Jessica. - 2017 BASE Show details 8 Considering Accent Recognition Technology for Forensic Applications Brown, Georgina. - : University of York, 2017. : Language and Linguistic Science (York), 2017 BASE Show details 9 Automatic recognition of geographically-proximate accents using content-controlled and content-mismatched speech data Brown, Georgina. - : University of Glasgow, 2015 BASE Show details 10 Y-ACCDIST: An Automatic Accent Recognition System for Forensic Applications Brown, Georgina. - : University of York, 2014. : Language and Linguistic Science (York), 2014 Abstract: This thesis introduces and explores the performance of the Y-ACCDIST system (the York ACCDIST automatic accent recognition system). Based on the ACCDIST metric (Huckvale, 2004), it is a newly developed accent recognition system intended for forensic applications. Accent has received a lot of research attention within speech technology as it is often to blame for automatic speech recognition errors. A lot of research has therefore targeted automatic accent recognition while taking the automatic speech recognition application into account. Little has been done, however, to research automatically recognising speakers' accents for forensic purposes. Such a task might involve identifying speaker properties (e.g. geographical origin) if no suspect is in the frame for making an incriminating telephone call. The Y-ACCDIST system is applied to the forensic context in two main ways. Firstly, it is applied to geographically-proximate accents, where a predicted increase in similarity between varieties exists. This accent recognition task is therefore expected to be more difficult than tasks in previous studies. Secondly, the model is adapted in such a way which makes it possible to process spontaneous speech, instead of just highly comparable speech content (i.e. read prompts). The present these shows accent recognition results, distinguishing between four geographically-proximate accents, of up to 90%. Accent recognition results of spontaneous speech are lower (up to 59.3%). However, light is shed on clear research directions aiming to improve this result. URL: http://etheses.whiterose.ac.uk/7603/ http://etheses.whiterose.ac.uk/7603/1/__userfs_gab514_w2k_Desktop_Masters_thesis19.pdf BASE Hide details

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