US 12,346,500 B1
EMG speech signal detection
Mark Kliger, Modiin-Macabim-Reut (IL); Meir Meshulam, Princeton, NJ (US); and Assif Ziv, Beit Yitzhak-Sha'ar Hefer (IL)
Assigned to Snap Inc., Santa Monica, CA (US)
Filed by Snap Inc., Santa Monica, CA (US)
Filed on Apr. 17, 2023, as Appl. No. 18/135,305.
Int. Cl. G06F 3/01 (2006.01); G06T 19/00 (2011.01)
CPC G06F 3/015 (2013.01) [G06T 19/006 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
collecting, by an electromyograph (EMG) communication device used by a user, a first set of EMG signals over a first time interval;
generating a first plurality of features based on the first set of EMG signals;
generating a first probability associated with presence of inner speech by processing the first plurality of features with a machine learning (ML) model;
comparing the first probability generated by the ML model to a specified threshold; and
detecting presence of the inner speech of the user in response to determining that the first probability generated by the ML model transgresses the specified threshold.