Please use this identifier to cite or link to this item:
http://oaps.umac.mo/handle/10692.1/292
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | LO, WENG LAM(羅詠霖) | - |
dc.date.accessioned | 2023-06-20T03:15:26Z | - |
dc.date.available | 2023-06-20T03:15:26Z | - |
dc.date.issued | 2023-05 | - |
dc.identifier.citation | Lo, W. L. (2023). iSpeak(Outstanding Academic Papers by Students (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository. | en_US |
dc.identifier.uri | http://oaps.umac.mo/handle/10692.1/292 | - |
dc.description.abstract | The proposed Cantonese Text to Speech project aims to address the lack of research and resources available for this underrepresented language. This project seeks to develop a high-quality TTS system for Cantonese that is both linguistically and culturally appropriate. One of the biggest challenges in this project is the lack of open-source data sets for Cantonese. In addition, Cantonese is a tonal and complex language, with a large number of characters and nuances that make it difficult to accurately capture in a speech synthesis system. The successful development of a Cantonese TTS system would have far-reaching benefits, which is crucial for the development in multifaceted fields, such as AI-based product development, voice assistant, etc. | en_US |
dc.language.iso | en | en_US |
dc.title | iSpeak | en_US |
dc.type | OAPS | en_US |
dc.contributor.department | Department of Computer and Information Science | en_US |
dc.description.instructor | Prof. Fai WONG, Derek | en_US |
dc.contributor.faculty | Faculty of Science and Technology | en_US |
dc.description.programme | Bachelor of Science in Computer Science | en_US |
Appears in Collections: | FST OAPS 2023 |
Files in This Item:
File | Description | Size | Format | |
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OAPS_2023_FST_DB926778_Lo WengLam_iSpeak.pdf | 23.52 MB | Adobe PDF | View/Open |
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