Speech recognition method based on neural network model

Abstract

The invention discloses a speech recognition method based on a neural network model. The speech recognition method comprises the steps of: acquiring a training sample set, extracting first feature parameters of the training sample set, acquiring the neural network model which can be used for recognition, and establishing a template library; and acquiring a prediction sample set, inputting the prediction sample set into the neural network model, extracting to obtain second feature parameters, and performing matching prediction on the second feature parameters and the first feature parameters inthe template library to obtain an identification result, wherein a neural network comprises a convolutional neural network and a recurrent neural network which are arranged in sequence. Compared withthe prior art, the speech recognition method provided by the invention has the advantages that the convolutional neural network and the recurrent neural network are effectively combined and connected, so that the overall learning efficiency and robustness of the network can be improved and the speech recognition performance can be improved while the speech recognition accuracy rate is ensured.

Description

technical field [0001] The invention relates to the field of speech recognition, in particular to a speech recognition method based on a neural network model. Background technique [0002] People in today's world have already used and relied on machines to an extremely high level. On this basis, people have also begun to desire more intuitive and easier operations on machines to achieve their goals. If they can directly use sound transmission In the form of direct control of the machine to help you accomplish what you want to do, many things will get twice the result with half the effort, so the operation of speech recognition technology was born. The essence of speech recognition technology is to process and classify the information contained in the sound. People can use speech recognition to make the machine obtain the information contained in the sound. The birth of this technology simplifies some operating commands to the machine, liberates human hands, and greatly faci...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the poor performance of neural network speech recognition in the prior art, and provides a speech recognition method based on neural network models, which effectively combines convolutional neural networks and cyclic neural networks to ensure that While increasing the accuracy of speech recognition, it increases the overall learning efficiency and robustness of the network, and improves speech recognition performance

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