Ecole De Technologie Superieure

Eers Global Technologies Inc.

Patrick Cardinal

Jeremie Voix

Hami Monsarrat-Chanon

Hami Montsarrat-Chanon

Philippe Chabot

Gilles Boulianne

Rachel Bou Serhal

Vishwa Gupta

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.

In-ear nonverbal audio events classification system and method

Growing community of inventors

Kirkland, Canada

Patrick Cardinal