18277213. METHODS AND SYSTEMS FOR PROCESSING VOICE AUDIO TO SEGREGATE PERSONAL HEALTH INFORMATION simplified abstract (KONINKLIJKE PHILIPS N.V.)

METHODS AND SYSTEMS FOR PROCESSING VOICE AUDIO TO SEGREGATE PERSONAL HEALTH INFORMATION

Organization Name

KONINKLIJKE PHILIPS N.V.

Inventor(s)

Sahar Bin Hairalah of Sammamish WA (US)

Aravind Gundumane of Bangalore (IN)

METHODS AND SYSTEMS FOR PROCESSING VOICE AUDIO TO SEGREGATE PERSONAL HEALTH INFORMATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18277213 titled 'METHODS AND SYSTEMS FOR PROCESSING VOICE AUDIO TO SEGREGATE PERSONAL HEALTH INFORMATION

Simplified Explanation

The system described in the patent application is a voice audio processing system that includes both a local device and a remote personal health data ecosystem. The local device is equipped with a speech-to-text transcriber, NLP, and ML classifier to process voice audio spoken by a user and classify it as either personal health or non-personal health related. The remote personal health data ecosystem includes a speech-to-text transcriber, NLP, text response generator, and text-to-speech translator to generate responses based on personal health spoken phrases.

• Local device with speech-to-text transcriber, NLP, and ML classifier
• Remote personal health data ecosystem with speech-to-text transcriber, NLP, text response generator, and text-to-speech translator

Potential Applications

This technology could be applied in healthcare settings for remote patient monitoring and telemedicine services.

Problems Solved

This technology helps in efficiently processing voice audio and extracting relevant personal health information for further analysis and response generation.

Benefits

The system allows for quick and accurate processing of personal health voice audio, enabling timely responses and interventions in healthcare scenarios.

Potential Commercial Applications

One potential commercial application of this technology could be in developing telehealth platforms for virtual consultations and remote patient monitoring services.

Possible Prior Art

Prior art in this field may include existing voice recognition and transcription systems used in healthcare for medical dictation and documentation purposes.

How does the system ensure the security and privacy of personal health data processed through voice audio?

The patent application does not provide details on the security measures implemented to protect personal health data during processing and transmission.

What is the accuracy rate of the ML classifier in classifying voice audio as personal health or non-personal health related?

The patent application does not mention the specific accuracy rate of the ML classifier in distinguishing between personal health and non-personal health voice audio.

Original Abstract Submitted

A system for processing voice audio includes a local device and a remote personal health data ecosystem. The local device includes (1) a local speech-to-text transcriber configured to generate voice text based on voice audio spoken by a user; (2) a local NLP configured to extract spoken phrases from the voice text; and (3) an ML classifier configured to classify the voice audio as either personal health or non-personal health voice audio. The remote personal health data ecosystem includes (1) a remote speech-to-text transcriber configured to generate personal health voice text based on the personal health voice audio; (2) a remote NLP configured to extract personal health spoken phrases from the personal health voice text; (3) a text response generator configured to generate a text response based on the personal health spoken phrases; (4) a text-to-speech translator configured to generate a voice response based on the text response.