Please use this identifier to cite or link to this item:
http://oaps.umac.mo/handle/10692.1/292
Title: | iSpeak |
Authors: | LO, WENG LAM(羅詠霖) |
Department: | Department of Computer and Information Science |
Faculty: | Faculty of Science and Technology |
Issue Date: | May-2023 |
Citation: | Lo, W. L. (2023). iSpeak(Outstanding Academic Papers by Students (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository. |
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. |
Instructor: | Prof. Fai WONG, Derek |
Programme: | Bachelor of Science in Computer Science |
URI: | http://oaps.umac.mo/handle/10692.1/292 |
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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