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

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