Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/73502
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKoh, Jia Xin-
dc.date.accessioned2018-03-22T06:39:33Z-
dc.date.available2018-03-22T06:39:33Z-
dc.date.issued2018-
dc.identifier.urihttp://hdl.handle.net/10356/73502-
dc.description.abstractThis paper looks at automatic speech recognition and its performance on recognizing and transcribing place names of multilingual origins in Singapore English. 90 place names from Malay, Chinese and English origins were tested in an isolated and continuous speech task manner on two commercial ASR systems – Apple’s Siri and Google’s Google Assistant. Results showed that Siri outperformed Google for all trials, and both ASR systems recognized English-origin place names the best, followed by Malay and lastly Chinese.en_US
dc.format.extent40 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Humanitiesen_US
dc.titleInvestigating place names of multilingual origins on the performance of automatic speech recognition systemsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorScott Reid Moisiken_US
dc.contributor.schoolSchool of Humanities and Social Sciencesen_US
dc.description.degreeBachelor of Artsen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:HSS Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
FYP Report Koh Jia Xin.pdf
  Restricted Access
1.33 MBAdobe PDFView/Open

Page view(s)

304
Updated on Nov 3, 2024

Download(s) 50

26
Updated on Nov 3, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.