EMG speech signal detection with feedback

A system comprising:

• a storage device of an electromyograph (EMG) communication device;
• and
• at least one processor of the EMG communication device configured to perform operations comprising:
• accessing one or more blocks of EMG data, the one or more blocks of the EMG data having been generated by a plurality of EMG channels of an EMG communication device based on one or more subthreshold activity (STA) of one or more muscles associated with speech production;
• processing the one or more blocks of the EMG data;
• computing a metric for each block of the one or more blocks of the EMG data that have been processed;
• determining that the metric representing at least one EMG channel of the plurality of EMG channels transgresses a threshold for detection of the STA;
• generating audible or visual feedback to indicate that the metric representing the at least one EMG channel of the plurality of EMG channels transgresses the threshold for detection of the STA, the one or more blocks of the EMG data being generated based on one or more EMG signals received by the EMG communication device comprising a microphone and one or more speakers, the microphone being used to capture the one or more blocks of the EMG data from EMG electrodes responsive to user input, the one or more blocks of the EMG data captured by the EMG electrodes being processed by a machine learning model to generate the audible or visual feedback;
• determining that an additional set of blocks of EMG data is associated with a corresponding metric that fails to transgress the threshold for detection of the STA;
• and
• in response to determining that the additional set of blocks of EMG data is associated with a corresponding metric that fails to transgress the threshold for detection of the STA, generating a notification for a user indicating that inner speech failed to be detected and requesting the user to repeat a word corresponding to the inner speech.

A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

• accessing one or more blocks of electromyograph (EMG) data, the one or more blocks of the EMG data having been generated by a plurality of EMG channels of an EMG communication device based on one or more subthreshold activity (STA) of one or more muscles associated with speech production;
• processing the one or more blocks of the EMG data;
• computing a metric for each block of the one or more blocks of the EMG data that have been processed;
• determining that the metric representing at least one EMG channel of the plurality of EMG channels transgresses a threshold for detection of the STA;
• generating audible or visual feedback to indicate that the metric representing the at least one EMG channel of the plurality of EMG channels transgresses the threshold for detection of the STA, the one or more blocks of the EMG data being generated based on one or more EMG signals received by the EMG communication device comprising a microphone and one or more speakers, the microphone being used to capture the one or more blocks of the EMG data from EMG electrodes responsive to user input, the one or more blocks of the EMG data captured by the EMG electrodes being processed by a machine learning model to generate the audible or visual feedback;
• determining that an additional set of blocks of EMG data is associated with a corresponding metric that fails to transgress the threshold for detection of the STA;
• and
• in response to determining that the additional set of blocks of EMG data is associated with a corresponding metric that fails to transgress the threshold for detection of the STA, generating a notification for a user indicating that inner speech failed to be detected and requesting the user to repeat a word corresponding to the inner speech.