Voice keyword identification method and apparatus based on deep neural network

Abstract

The invention provides a voice keyword identification method and apparatus based on a deep neural network. The method comprises the steps: framing the voice to be identified to obtain a plurality of voice frames; extracting features from each voice frame, and obtaining a Mel frequency cepstral coefficient MFCC sequence for each voice frame; inputting the MFCC sequence for each voice frame into a preset deep neural network model in parallel; respectively calculating the posterior probability under each neural unit of the output layer in the preset deep neural network model, for the MFCC sequence for each voice frame; forming posterior probability sequences corresponding to the plurality of voice frames through the posterior probability under each neural unit of the output layer; monitoring the posterior probability sequence under each neural unit of the output layer; and according to the comparative result between the posterior probability sequence and the probability sequence of the preset threshold, determining the keywords of the voice to be identified, and utilizing the pre-trained deep neural network to perform voice keywords identification. Therefore, the voice keyword identification method and apparatus based on a deep neural network can improve the identification speed and alleviate the problem of identification delay.

Description

technical field

[0001] The present invention relates to the technical field of speech keyword recognition, in particular, to a speech keyword recognition method and device based on a deep neural network. Background technique

[0002] At present, with the wide application of intelligent products, the improvement of the performance and capacity of storage devices, and the vigorous development of networks and communications, voice has become a powerful carrier of information, so voice processing and application technologies have attracted more and more attention. Among them, speech keyword recognition technology refers to identifying a given keyword in a given speech and indicating its location. Speech keyword recognition technology is an important branch of speech recognition technology, which is to process natural speech and realize human-machine speech Effective solution for interaction. Voice keyword recognition is widely used in many application scenarios, such as voice q...

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