VOICE STRING THROAT VIBRATION VOICE RECOGNITION SYSTEM FOR ELECTRIC ROTORCRAFT NAVIGATION

• DOI: https://doi.org/10.22533/at.ed.317522503025

• Palavras-chave: Digital Signal Processing, Electric Wheelchair, Tetraplegics, Laryngophone, Urban Mobility.

• Keywords: Digital Signal Processing, Electric Wheelchair, Tetraplegics, Laryngophone, Urban Mobility.

• Abstract:

  Over the last five decades, researchers have devoted efforts to improve voice recognition technology and improve accessibility for people with disabilities. Significant frameworks since the 1950s, such as Amazon's pioneering work in voice-controlled remote systems, have shaped the field. This paper proposes a speech recognition system designed for speech recognition through voice string vibrations to navigate on electric wheel tracks. The system uses a digital signal processor (DSP) and a laryngophone to capture throat vibrations. The prototype was tested and its reliability validated, mainly in environments with high noise levels. The system ensures accuracy in the interpretation of voice commands, focusing on throat vibrations. In addition, an algorithm was developed to link voice commands to the corresponding actions for the electric motor. Our results indicate that this system has higher noise immunity compared to the microphone system, improves the quality of life and autonomy of people with disabilities, while offering wider application opportunities.