Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/73502
Title: Investigating place names of multilingual origins on the performance of automatic speech recognition systems
Authors: Koh, Jia Xin
Keywords: DRNTU::Humanities
Issue Date: 2018
Abstract: This 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.
URI: http://hdl.handle.net/10356/73502
Schools: School of Humanities and Social Sciences 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With 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)

291
Updated on Oct 8, 2024

Download(s) 50

26
Updated on Oct 8, 2024

Google ScholarTM

Check

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