Research on Scheduling Speech Intelligent Recognition Based on Language Model

Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (2) : 55-59.

TECHNOLOGY REVIEW

Du Fan, Zhang Min, Shan Zuzhi, Yang Zaihe

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Abstract

Aiming at the problem of poor accuracy of word graph generated by single pass decoding word graph generation algorithm in the process of scheduling speech recognition, a scheduling speech intelligent recognition method based on language model is studied.A scheduling speech intelligent recognition model composed of training process and recognition process is constructed.In the training process, the model extracts the speech vector sequence of speech data to construct the phonological sub model, and uses the language sub model to train the text data to construct the speech word map.In the recognition process, the phonological sub model, speech word map and pronunciation dictionary are decoded and searched to obtain the optimal word sequence.Scheduling speech intelligent recognition is completed based on the optimal word sequence.The test results show that the word graph generated by the research method has high accuracy and can accurately recognize the scheduling speech.

Key words

language model / speech recognition / speech decoding / word map generation

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Du Fan, Zhang Min, Shan Zuzhi, Yang Zaihe. Research on Scheduling Speech Intelligent Recognition Based on Language Model[J]. Integrated Circuits and Embedded Systems. 2022, 22(2): 55-59

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