Method and system for classifying a user of an electronic device

A computer-implemented method for training a machine-learning algorithm (MLA) to determine a user class of a user producing a user utterance, the method being executable on a server including a processor, the method comprising:

• receiving, by the processor, a training audio signal representative of a training user utterance,
• the training user utterance having been produced by a training user;
• soliciting, by the processor, a plurality of assessor-generated labels for the training audio signal,
• a given one of the plurality of assessor-generated labels having been generated by a respective one of a plurality of human assessors;
• the given one of the plurality of assessor-generated labels being indicative of whether the training user is perceived, by a respective human assessor, to be one of a first user class and a second user class;
• generating, by the processor, an amalgamated assessor-generated label for the training audio signal,
• the amalgamated assessor-generated label being indicative of a label distribution of the plurality of assessor-generated labels between the first user class and the second user class;
• generating, by the processor, a training set of data including the training audio signal and the amalgamated assessor-generated label;
• training, by the processor, based on the training set of data, the MLA to determine the user class of the user producing an in-use user utterance.