Ispeakai: AI-driven development of pronunciation learning bot for deaf speech precision
By: Del Rosario, Spencer Yuki E.; Go, Shekaina V
Language: English Publisher: . . c2025Description: Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025Content type: text Media type: unmediated Carrier type: volumeGenre/Form: academic writingDDC classification: . LOC classification: T10 D45 2025| Item type | Current location | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| Thesis/Dissertation | PLM | PLM Filipiniana Section | Filipiniana-Thesis | T10 D45 2025 (Browse shelf) | Available | FT8768 |
ABSTRACT: 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.
Filipiniana
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