Please use this identifier to cite or link to this item: http://oaps.umac.mo/handle/10692.1/292
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dc.contributor.authorLO, WENG LAM(羅詠霖)-
dc.date.accessioned2023-06-20T03:15:26Z-
dc.date.available2023-06-20T03:15:26Z-
dc.date.issued2023-05-
dc.identifier.citationLo, 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.urihttp://oaps.umac.mo/handle/10692.1/292-
dc.description.abstractThe 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.isoenen_US
dc.titleiSpeaken_US
dc.typeOAPSen_US
dc.contributor.departmentDepartment of Computer and Information Scienceen_US
dc.description.instructorProf. Fai WONG, Dereken_US
dc.contributor.facultyFaculty of Science and Technologyen_US
dc.description.programmeBachelor of Science in Computer Scienceen_US
Appears in Collections:FST OAPS 2023

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