English
Abstract Silent speech interfaces are systems designed to decode speech intention when ordinary voice communication is impossible, inconvenient, unsafe, or undesirable [1]. These systems may use optical sensing, acoustic sensing, motion sensing, muscle-signal sensing, or a combination of several methods. Artificial intelligence then identifies patterns in these signals and translates them into words, device commands, or audible synthetic speech [2]. This technology has strong potential in accessibility, privacy, noisy environments, wearable electronics, professional communication, and assistive healthcare. However, it still faces technical and ethical challenges, including accuracy, user comfort, real-world reliability, data security, and informed consent [3] (see Table 1).
Sign in with your free account to read, download EPUBs or listen.
Gamal E.O. Elhag-Idris · CC BY-NC-ND 4.0