Method and device for acquiring testing sample

Abstract

The invention discloses a method and device for acquiring a testing sample. The method comprises the following steps: determining a total-content testing sample according to a standard testing sampleof a to-be-tested speech recognition system, a historic testing sample and at least one preset application scene testing sample; determining the testing weights of the standard testing sample, the historic testing sample and at least one preset application scene testing sample according to the application scene and the application scene testing parameters of the to-be-tested speech recognition system; and then determining a target testing sample in the total-content testing sample. The method disclosed by the invention takes both the total-content testing sample of different application scenetesting samples and the target testing sample into consideration, so that the method is more scientific and comprehensive; the testing weights of the standard testing sample, the historic testing sample and at least one preset application scene testing sample are determined based on the application scene and the application scene testing parameters, and then the determined target testing sample has the pertinency for different application scenes.

Description

technical field [0001] The invention relates to the technical field of software testing, in particular to a method and device for acquiring test samples. Background technique [0002] This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Software testing is a process used to promote the correctness, integrity, security and quality of software identification, and it is a process of review or comparison between actual output and expected output. The classic definition of software testing is: the process of operating the program under specified conditions to find program errors, measure software quality, and evaluate whether it can meet the design requirements. Software testing of speech recognition systems is an important application scenario. [0004] In the testing process of the speech recognition system, a ...

AI Technical Summary

Problems solved by technology

However, the speech recognition system has a large number of different application scenarios. When selecting the test samples of the speech recognition system, it is necessary to select test samples in different application scenarios, and the standard test samples and historical test samples do not take into account the different application scenarios. At the same time, the standard test samples and historical test samples are not comprehensive enough, resulting in the target test samples of the speech recognition system not being scientific and comprehensive, and not pertinent to different application scenarios

[0005] Therefore, the existing target test samples for obtaining speech recognition systems are not scientific and comprehensive enough, and do not have the pertinence to different application scenarios.

Images