20240023893. IN-EAR NONVERBAL AUDIO EVENTS CLASSIFICATION SYSTEM AND METHOD simplified abstract (EERS GLOBAL TECHNOLOGIES INC.)
Contents
IN-EAR NONVERBAL AUDIO EVENTS CLASSIFICATION SYSTEM AND METHOD
Organization Name
Inventor(s)
Hami Montsarrat-chanon of Montreal (CA)
Rachel Bou Serhal of Montreal (CA)
Patrick Cardinal of Kirkland (CA)
Philippe Chabot of Lasalle (CA)
IN-EAR NONVERBAL AUDIO EVENTS CLASSIFICATION SYSTEM AND METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240023893 titled 'IN-EAR NONVERBAL AUDIO EVENTS CLASSIFICATION SYSTEM AND METHOD
Simplified Explanation
The patent application describes a system and method for training a classification module to detect and monitor nonverbal audio events. The method involves capturing an in-ear audio signal from an occluded ear and defining nonverbal audio events associated with the captured signal. Features are then extracted from the audio signal and validated. The extracted features are associated with the nonverbal audio events and used to update the classification module.
- The system and method capture in-ear audio signals from occluded ears.
- Nonverbal audio events associated with the captured signals are defined.
- Features are extracted from the in-ear audio signals.
- The extracted features are validated.
- The validated features are associated with the nonverbal audio events.
- The classification module is updated with the association between features and nonverbal audio events.
Potential applications of this technology:
- Nonverbal audio event monitoring and detection systems.
- Command systems that can be controlled through nonverbal audio events.
Problems solved by this technology:
- Accurate detection and monitoring of nonverbal audio events.
- Training a classification module to associate features with nonverbal audio events.
Benefits of this technology:
- Improved monitoring and detection of nonverbal audio events.
- Enhanced control and interaction with command systems through nonverbal audio events.
Original Abstract Submitted
a system and method for training a classification module of nonverbal audio events and a classification module for use in a variety of nonverbal audio event monitoring, detection and command systems. the method comprises capturing an in-ear audio signal from an occluded ear and defining at least one nonverbal audio event associated to the captured in-ear audio signal. then sampling and extracting features from the in-ear audio signal. once the extracted features are validated, associating the extracted features to the at least one nonverbal audio event and updating the classification module with the association. the nonverbal audio event comprises one or a combination of user-induced or externally-induced nonverbal audio events such as teeth clicking, tongue clicking, blinking, eye closing, teeth grinding, throat clearing, saliva noise, swallowing, coughing, talking, yawning with inspiration, yawning with expiration, respiration, heartbeat and head or body movement, wind, earpiece insertion or removal, degrading parts, etc.
