000			01844nam a22002417a 4500
003			FT8768
005			20251106135708.0
008			251106b ||||| |||| 00| 0 eng d
041			_aengtag
050			_aT10 D45 2025
082			_a.
100	1		_a Del Rosario, Spencer Yuki E.; Go, Shekaina V.
245			_aIspeakai: AI-driven development of pronunciation learning bot for deaf speech precision
264		1	_a. _b. _cc2025
300			_bCapstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025
336			_2text _atext _btext
337			_2unmediated _aunmediated _bunmediated
338			_2 volume _a volume _b volume
505			_aABSTRACT: This study presents iSpeakAI, an AI-driven pronunciation learning bot aimed at improving speech precision among individuals who are deaf or hard of hearing. Recognizing the unique challenges these leaners face in acquiring spoken language, iSpeakAI employs advanced machine learning algorithms to assess and analyze speech patterns. The bot offers personalized feedback and adaptive learning paths, enhancing the effectiveness of pronunciation practice. The integration of visual and substantial feedback mechanisms ensures an inclusive and engaging learning experience. This presentation will discuss the development process, key findings from user studies, and the potential impact of iSpeakAI on speech therapy practices. By showcasing the capabilities of AI in adapting effective communication, this highlights the transformative role of technology in creating equitable learning opportunities for demoted populations. This research points out the importance of innovative educational tools in bridging communication gaps and promoting inclusivity in diverse settings.
526			_aF
655			_aacademic writing
942			_2lcc _cMS
999			_c37045 _d37045