Technologies developed to externalize speech from laryngeal vibration, surface electromyography (sEMG), and neural decoding were initially designed to assist individuals unable to articulate speech orally. This paper examines whether the same technological foundation—bio-signal capture, digital signal processing, and adaptive machine learning—can be extended to assist individuals with partial or complete hearing loss. The analysis evaluates feasibility across conductive hearing loss, sensorineural hearing loss, and profound deafness. It distinguishes between acoustic amplification, neural stimulation (e.g., cochlear implants), and bioelectronic sensory substitution systems. The central conclusion is that while laryngeal-signal-based technologies cannot directly restore hearing, their signal-processing and adaptive modeling frameworks can be integrated into multimodal sensory substitution and enhanced cochlear implant systems. Such integration could improve speech clarity perception, reduce cognitive load, and facilitate two-way communication for individuals with combined speech and hearing impairments. The paper maintains strict scientific boundaries and avoids speculative neuroengineering claims.