Speakece: raspberry pi based wearable augmentation device for speech disordered individuals using cnn based models and real-time audio speech recognition/
Geronimo, Sean Iverson G.
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.
Bachelor's thesis
College Of Engineering.--
Includes bibliographic references and index.
Speech disorders significantly impact an individual’s ability to communicate
effectively, often leading to social and emotional challenges. Assistive technologies can
bridge this gap, but many existing solutions are expensive, bulky, or lack real-time
capabilities. SpeakECE, a wearable augmentation device designed to help individuals with
speech impairments communicate more effectively. Built on a Raspberry Pi platform, the
system leverages Convolutional Neural Network (CNN), particularly the Whisper OpenAI
model for real-time audio speech recognition and processing. By translating impaired
speech and converting it into clear, intelligible output, SpeakECE provides a cost-effective,
portable, and user-friendly solution. This research study explores the development,
implementation, and validation of the device, contributing to accessible and affordable
assistive technology innovations.
Speech disorders
Assistive technology
Wearable device
BTH TK 870 / G47 2025
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.
Bachelor's thesis
College Of Engineering.--
Includes bibliographic references and index.
Speech disorders significantly impact an individual’s ability to communicate
effectively, often leading to social and emotional challenges. Assistive technologies can
bridge this gap, but many existing solutions are expensive, bulky, or lack real-time
capabilities. SpeakECE, a wearable augmentation device designed to help individuals with
speech impairments communicate more effectively. Built on a Raspberry Pi platform, the
system leverages Convolutional Neural Network (CNN), particularly the Whisper OpenAI
model for real-time audio speech recognition and processing. By translating impaired
speech and converting it into clear, intelligible output, SpeakECE provides a cost-effective,
portable, and user-friendly solution. This research study explores the development,
implementation, and validation of the device, contributing to accessible and affordable
assistive technology innovations.
Speech disorders
Assistive technology
Wearable device
BTH TK 870 / G47 2025