Precisely Controlled Microphone Acoustic Attenuator with Protective Microphone Enclosure

A cloud-based speech rehabilitation system for mobile and web-based platforms comprising:

• a) a web-based application executable on client devices including mobile and desktop browsers, said application providing a Software-as-a-Service platform for rehabilitating impaired speech audio without rehabilitating the speaker;
• b) a downloadable browser extension installable in Chrome browsers, said extension providing persistent speech rehabilitation capabilities accessible from any website and configured for users with speech disabilities requiring accessibility accommodations;
• c) cloud server infrastructure configured to receive and process impaired speech audio transmitted from client devices over a network, wherein the processing occurs via non-local hardware using artificial intelligence training on user voice samples;
• d) personalized speech rehabilitation models stored in the cloud, each model fine-tuned using machine learning algorithms trained on user-specific speech input recorded during a personalized training phase;
• e) website integration capabilities enabling the extension to detect active text input fields on telehealth platforms, medical documentation systems, and web-based applications, inject rehabilitated speech-to-text transcription directly into said input fields, and operate across diverse platforms including healthcare portals, accessibility tools, and medical record systems;
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• f) real-time processing capabilities that convert impaired speech into both intelligible text and synthesized speech output based on pre-trained user models, enabling accessibility for users with speech impairments in medical and professional environments.

A real-time captioning system providing accessibility for impaired speakers in telehealth and professional environments, the system comprising:

• a) cloud-based Software-as-a-Service architecture configured to receive impaired speech audio from video conferencing platforms selected from Zoom, Microsoft Teams, and Cisco WebEx;
• b) application programming interfaces (APIs) integrated with telehealth platforms and video conferencing systems, said APIs configured to capture audio streams from participants having speech disabilities, accented speech, or aging voice characteristics;
• c) personalized speech rehabilitation models stored on remote cloud servers, each model trained using artificial intelligence algorithms on user-specific voice samples recorded during a personalized training phase, wherein the models rehabilitate speech audio without rehabilitating the speaker;
• d) real-time audio processing capabilities executed on non-local cloud hardware that capture impaired speech audio streams from video conference participants, apply personalized speech rehabilitation models to convert impaired speech into intelligible text, generate both text captions and synthesized speech output based on pre-trained user models, and display live captions within the video conferencing interface within 500 milliseconds;
• e) multi-user support functionality enabling simultaneous speech rehabilitation and captioning for multiple participants with different speech characteristics in medical consultations and professional meetings;
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• f) accessibility features specifically designed for healthcare and telehealth use-cases, enabling users with speech impairments to participate effectively in medical consultations, therapy sessions, and professional communications through rehabilitated speech output.