Broadcast News Segmentation Using Automatic Speech Recognition System Combination With Rescoring And Noun Unification
Siaran berita memaklumkan perkembangan terbaru, peristiwa dan isu-isu terkini yang berlaku di dunia kepada penonton. Pada masa kini, berita yang disiarkan boleh diakses dengan mudah atas talian. Broadcast news keeps viewers informed about the latest developments, events and issues occurring in th...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2015
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| الوصول للمادة أونلاين: | http://eprints.usm.my/30448/1/ZAINAB_ALI_KHALAF.pdf |
| الوسوم: |
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my-usm-ep.304482019-04-12T05:25:42Z Broadcast News Segmentation Using Automatic Speech Recognition System Combination With Rescoring And Noun Unification 2015-07 Ali Khalaf, Zainab QA76.575 Multimedia systems and Internet Siaran berita memaklumkan perkembangan terbaru, peristiwa dan isu-isu terkini yang berlaku di dunia kepada penonton. Pada masa kini, berita yang disiarkan boleh diakses dengan mudah atas talian. Broadcast news keeps viewers informed about the latest developments, events and issues occurring in the world. Nowadays, broadcast news can be easily accessed online. 2015-07 Thesis http://eprints.usm.my/30448/ http://eprints.usm.my/30448/1/ZAINAB_ALI_KHALAF.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer ((School of Computer Sciences) |
| institution |
Universiti Sains Malaysia |
| collection |
USM Institutional Repository |
| language |
English |
| topic |
QA76.575 Multimedia systems and Internet |
| spellingShingle |
QA76.575 Multimedia systems and Internet Ali Khalaf, Zainab Broadcast News Segmentation Using Automatic Speech Recognition System Combination With Rescoring And Noun Unification |
| description |
Siaran berita memaklumkan perkembangan terbaru, peristiwa dan isu-isu terkini yang berlaku di dunia kepada penonton. Pada masa kini, berita yang disiarkan boleh diakses dengan mudah atas talian.
Broadcast news keeps viewers informed about the latest developments, events and issues occurring in the world. Nowadays, broadcast news can be easily accessed online. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Ali Khalaf, Zainab |
| author_facet |
Ali Khalaf, Zainab |
| author_sort |
Ali Khalaf, Zainab |
| title |
Broadcast News Segmentation Using Automatic Speech Recognition System Combination With Rescoring And Noun Unification |
| title_short |
Broadcast News Segmentation Using Automatic Speech Recognition System Combination With Rescoring And Noun Unification |
| title_full |
Broadcast News Segmentation Using Automatic Speech Recognition System Combination With Rescoring And Noun Unification |
| title_fullStr |
Broadcast News Segmentation Using Automatic Speech Recognition System Combination With Rescoring And Noun Unification |
| title_full_unstemmed |
Broadcast News Segmentation Using Automatic Speech Recognition System Combination With Rescoring And Noun Unification |
| title_sort |
broadcast news segmentation using automatic speech recognition system combination with rescoring and noun unification |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Sains Komputer ((School of Computer Sciences) |
| publishDate |
2015 |
| url |
http://eprints.usm.my/30448/1/ZAINAB_ALI_KHALAF.pdf |
| _version_ |
1747820338141462528 |