University of Utah Research Foundation (20240347036). PSEUDOTELEPATHY HEADSET simplified abstract

PSEUDOTELEPATHY HEADSET

Organization Name

University of Utah Research Foundation

Inventor(s)

Nicholas S. Witham of Salt Lake City UT (US)

Juan Pablo Botero Torres of Salt Lake City UT (US)

Colleen Chemerka of Salt Lake City UT (US)

Tanner Krone of Salt Lake City UT (US)

Rami Shorti of Salt Lake City UT (US)

Thomas Odell of Salt Lake City UT (US)

PSEUDOTELEPATHY HEADSET - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240347036 titled 'PSEUDOTELEPATHY HEADSET

The abstract describes a system that converts speech pantomimes of a user into synthesized speech using an artificial intelligence network.

• The system includes a headset with distance measurement devices, a microphone, and a speaker.
• Data from the distance measuring devices and microphone are used to train the artificial intelligence network to correlate speech pantomimes with phonemes.
• The system outputs synthesized speech generated from the phonemes through the speaker.

Potential Applications: - Assistive communication for individuals with speech impairments. - Language learning and pronunciation practice. - Virtual reality and gaming applications.

Problems Solved: - Providing a communication solution for those who cannot speak. - Enhancing speech recognition technology. - Improving user interaction in virtual environments.

Benefits: - Increased accessibility for individuals with speech disabilities. - Enhanced learning and communication experiences. - Seamless integration of speech and gesture in technology.

Commercial Applications: Title: "Innovative Speech Synthesis System for Diverse Applications" This technology can be used in healthcare for patients with speech disorders, educational settings for language learning, and entertainment industries for immersive experiences.

Prior Art: Researchers can explore existing patents related to speech recognition, gesture recognition, and artificial intelligence in communication technologies.

Frequently Updated Research: Stay informed about advancements in artificial intelligence for speech recognition and gesture analysis to enhance the system's performance.

Questions about the technology: 1. How does the system differentiate between different speech pantomimes? The system uses data from distance measurement devices and audio data to train the artificial intelligence network to recognize unique patterns in speech pantomimes.

2. Can the system adapt to different accents and languages? The system can be trained with diverse datasets to recognize various accents and languages, improving its adaptability and accuracy.

Original Abstract Submitted

a system for enabling conversion of speech pantomimes of a user into synthesized speech includes a headset connected to an artificial intelligence network hosted on a computing device. the headset can include an array of distance measurement devices distributed adjacent facial regions of the user associated with speech. the system can further include a microphone and a speaker. sensor data captured by the distance measuring devices and audio data captured by the microphone are used to train the artificial intelligence network to correlate speech pantomimes of the user with phonemes. the system can output synthesized speech generated from the phonemes through the speaker.