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Post-processing method, device and computer equipment for model output

A technology for model output and computer programs, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as long calculation time and large amount of post-processing algorithm calculations, so as to reduce the process of repeated calculations, ensure numerical stability, and speed up The effect of processing speed

Active Publication Date: 2022-04-26
深圳市友杰智新科技有限公司
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Problems solved by technology

[0004] The main purpose of this application is to provide a post-processing method, device and computer equipment for model output, aiming to solve the disadvantages of the existing speech recognition post-processing algorithm, which has a large amount of calculation and takes too long to calculate

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  • Post-processing method, device and computer equipment for model output
  • Post-processing method, device and computer equipment for model output

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[0020] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0021] refer to figure 1 , an embodiment of the present application provides a post-processing method for model output, including:

[0022] S1: Obtain the probability matrix output by the speech recognition model;

[0023] S2: Perform a window search in the probability matrix, during the window search process, perform regular processing on the probability matrix based on a threshold, remove invalid paths in the probability matrix, and the next window interval of the probability matrix The probability calculation is based on the probability results of the previous window ...

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Abstract

The application provides a post-processing method, device, and computer equipment for model output. The recognition system obtains the probability matrix output by the speech recognition model, performs window search in the probability matrix, and performs regular processing on the probability matrix based on thresholds to eliminate the probability matrix. Invalid paths in the matrix, and the probability calculation of the next window interval of the probability matrix is ​​based on the probability result of the previous window interval, and the corresponding probability values ​​of each window interval are calculated respectively. Finally, the command word corresponding to the window interval with the highest probability value is selected as the speech recognition result. In this application, the numerical stability of the probability matrix is ​​effectively guaranteed through threshold-based rule processing. And the method of probability multiplication calculation is used to replace the log domain calculation, thereby reducing the amount of calculation. In the process of window search, the probability calculation of the next window interval is based on the probability result of the previous window interval, thereby reducing the process of repeated calculation, further reducing the amount of calculation, and effectively speeding up the processing speed.

Description

technical field [0001] The present application relates to the technical field of speech recognition, in particular to a post-processing method, device and computer equipment for model output. Background technique [0002] The existing post-processing algorithm of speech recognition is based on the probability matrix output by the neural network, and searches for the optimal path on the basis of the probability matrix. The search for the optimal path is usually obtained by using the probability multiplication algorithm, but due to the consideration of numerical stability, it is generally processed in the form of logsum (first convert the probability value into a log value, and convert the multiplication between the probability values ​​into a log value Addition), and then converted to the original probability value after the calculation is completed. [0003] Although this processing method can bring the benefits of numerical stability, due to the introduction of a large num...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/22
CPCG10L15/22G10L2015/223
Inventor 李杰王广新杨汉丹
Owner 深圳市友杰智新科技有限公司
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