Geronimo, Sean Iverson G. <br/><br/>
Speakece:   raspberry pi based wearable augmentation device for speech disordered individuals using cnn based models and real-time audio speech recognition/ 
Sean Iverson G. Geronimo, Rica Mae B. Pedemonte, Angelica A. Perez, Edward Miguel M. Saringan, and Paul Patrick W. Villarin.-- 
 - Manila:	  Technological University of the Philippines,	  2025. 
 - xiii, 132pages:  29cm. 
<br/><br/> Bachelor's thesis<br/> 
<br/><br/>College Of Engineering.--<br/> 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> Speech disorders significantly impact an individual’s ability to communicate<br/>effectively, often leading to social and emotional challenges. Assistive technologies can<br/>bridge this gap, but many existing solutions are expensive, bulky, or lack real-time<br/>capabilities. SpeakECE, a wearable augmentation device designed to help individuals with<br/>speech impairments communicate more effectively. Built on a Raspberry Pi platform, the<br/>system leverages Convolutional Neural Network (CNN), particularly the Whisper OpenAI<br/>model for real-time audio speech recognition and processing. By translating impaired<br/>speech and converting it into clear, intelligible output, SpeakECE provides a cost-effective,<br/>portable, and user-friendly solution. This research study explores the development,<br/>implementation, and validation of the device, contributing to accessible and affordable<br/>assistive technology innovations. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Speech disorders<br/>Assistive technology<br/>Wearable device
<br/><br/><label>LC Class. No.: </label>BTH TK 870  / G47 2025