Techniques for language independent wake-up word detection

Abstract

A user device configured to perform wake-up word detection in a target language. The user device comprises at least one microphone () configured to obtain acoustic information from the environment of the user device, at least one computer readable medium () storing an acoustic model () trained on a corpus of training data () in a source language different than the target language, and storing a first sequence of speech units obtained by providing acoustic features () derived from audio comprising the user speaking a wake-up word in the target language to the acoustic model (), and at least one processor () coupled to the at least one computer readable medium () and programmed to perform receiving, from the at least one microphone (), acoustic input from the user speaking in the target language while the user device is operating in a low-power mode, applying acoustic features derived from the acoustic input to the acoustic model () to obtain a second sequence of speech units corresponding to the acoustic input, determining if the user spoke the wake-up word at least in part by comparing the first sequence of speech units to the second sequence of speech units, and exiting the low-power mode if it is determined that the user spoke the wake-up word.