Investigating place names of multilingual origins on the performance of automatic speech recognition systems
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 sys...
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| Format: | Final Year Project |
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2018
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| Online Access: | http://hdl.handle.net/10356/73502 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-735022019-12-10T11:52:38Z Investigating place names of multilingual origins on the performance of automatic speech recognition systems Koh, Jia Xin Scott Reid Moisik School of Humanities and Social Sciences DRNTU::Humanities 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. Bachelor of Arts 2018-03-22T06:39:33Z 2018-03-22T06:39:33Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/73502 en Nanyang Technological University 40 p. application/pdf |
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Nanyang Technological University |
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NTU Library |
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Singapore |
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English |
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DRNTU::Humanities |
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DRNTU::Humanities Koh, Jia Xin Investigating place names of multilingual origins on the performance of automatic speech recognition systems |
| description |
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. |
| author2 |
Scott Reid Moisik |
| author_facet |
Scott Reid Moisik Koh, Jia Xin |
| format |
Final Year Project |
| author |
Koh, Jia Xin |
| author_sort |
Koh, Jia Xin |
| title |
Investigating place names of multilingual origins on the performance of automatic speech recognition systems |
| title_short |
Investigating place names of multilingual origins on the performance of automatic speech recognition systems |
| title_full |
Investigating place names of multilingual origins on the performance of automatic speech recognition systems |
| title_fullStr |
Investigating place names of multilingual origins on the performance of automatic speech recognition systems |
| title_full_unstemmed |
Investigating place names of multilingual origins on the performance of automatic speech recognition systems |
| title_sort |
investigating place names of multilingual origins on the performance of automatic speech recognition systems |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10356/73502 |
| _version_ |
1681039446182461440 |