A method and a device for waking up via a speech based on artificial intelligence are provided in the present disclosure. The method includes: clustering phones to select garbage phones for representing the phones; constructing an alternative wake-up word approximate to a preset wake-up word according to the preset wake-up word; constructing a decoding network according to the garbage phones, the alternative wake-up word and the preset wake-up word; and waking up via the speech by using the decoding network. Due to the data size for the garbage phones is significantly smaller than the data size for the garbage words, a problem that the data size occupied is too large by using a garbage word model in the prior art is solved. Meanwhile, as a word is composed of several phones, the garbage phones may be more likely to cover all words than the garbage words. Thus, an accuracy of waking up is improved and a probability of false waking up is reduced.
Method and device for waking up via speech based on artificial intelligence