Speech recognition method and device, computer readable storage medium and computer device

Abstract

The invention relates to a speech recognition method and device, a computer readable storage medium and a computer device. The method comprises steps of acquiring multiple word sequences obtained by decoding the speech data and first scores corresponding t the first word sequences; extracting preset quantity of word sequences whose first scores rank highly from the word sequences to serve as candidate word sequences; recognizing the field where the candidate word sequences are located; according to the field where the candidate word sequences are located, inputting the candidate word sequencesto a neural network corresponding to the field; carrying out re-scoring on the candidate word sequences through the neural network so as to obtain a second score corresponding to each candidate wordsequence; according to the first scores and the second scores corresponding to the candidate word sequences, obtaining the final scores of the candidate word sequences; and using the candidate word sequence with the highest final score as a speech recognition result of the speech data. In this way, the time for training the neural network of a special field is greatly shortened; and efficiency ofthe speech recognition is further improved.

Description

technical field [0001] The present application relates to the technical field of speech recognition, in particular to a speech recognition method, device, computer-readable storage medium and computer equipment. Background technique [0002] With the rapid development of computer technology, the technology in the field of speech recognition is also becoming more and more mature. [0003] In traditional technology, the technical solution of speech recognition is usually divided into two parts: front-end decoding and back-end processing. The front-end is mainly responsible for receiving input voice data and decoding the voice data to obtain multiple possible sentences. One of the sentences among the multiple possibilities obtained by the front end is determined as the final recognition result. In traditional technology, the backend can input multiple possible sentences into the neural network to determine the final recognition result. However, in this way, a large amount of t...

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a speech recognition method, device, computer-readable storage medium and computer equipment capable of improving speech recognition efficiency in view of the above-mentioned technical problem of low speech recognition efficiency

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