Training method of hybrid frequency acoustic recognition model, and speech recognition method

Abstract

The invention discloses a training method and a speech recognition method for a mixed frequency acoustic recognition model, which belongs to the technical field of speech recognition. The method comprises: obtaining a first-type speech feature of the first speech signal, and processing the first speech data to obtain corresponding first speech training data (S); obtaining the first-type speech feature of the second speech signal, and processing the second speech data to obtain corresponding second speech training data (S); obtaining a second-type speech feature of the first speech signal according to a power spectrum of the first speech signal, and obtaining the second-type speech feature of the second speech signal according to a power spectrum of the second speech signal (S); performing pre-training according to the first speech signal and the second speech signal, so as to form a preliminary recognition model of the hybrid frequency acoustic recognition model (S); and performing supervised parameter training on the preliminary recognition model according to the first speech training data, the second speech training data and the second-type speech feature, so as to form the hybrid frequency acoustic recognition model (S). The beneficial effects of the above technical solution are: the recognition model has better robustness and generalization.