Keyword spotting using an evolutionary-based classifier and discriminative features
Keyword spotting (KWS) problem is considered as a binary classification problem. A framework for KWS with feature extraction and classification parts is proposed. Two discriminative features for the feature extraction part are proposed. An evolutionary-based classifier is proposed in the classification part.
keyword spotting discriminative models evolutionary algorithm