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 | Size | Format | |
---|---|---|---|---|
FYP Report Koh Jia Xin.pdf Restricted Access | 1.33 MB | Adobe PDF | View/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.