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VAD sentence segmentation test method and device, computer equipment and storage medium

A test method and test plan technology, which is applied in speech analysis, speech recognition, instruments, etc., can solve the problems of single test data comparison scene, limited test sample size, and small number of covered scenes, so as to achieve reasonable reuse, comprehensiveness and accuracy The effect of the test

Pending Publication Date: 2021-02-23
KANG JIAN INFORMATION TECH (SHENZHEN) CO LTD
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AI Technical Summary

Problems solved by technology

[0003] The traditional VAD overtime sentence test is verified by real-time voice test or unit test method, which relies on a large number of manual annotations and requires users to perform multiple operations on the terminal. The test sample size is limited, the coverage scene is small, and the test data comparison scene is single. Comprehensive and accurate testing of VAD solutions

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  • VAD sentence segmentation test method and device, computer equipment and storage medium
  • VAD sentence segmentation test method and device, computer equipment and storage medium
  • VAD sentence segmentation test method and device, computer equipment and storage medium

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Embodiment Construction

[0061] 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.

[0062] The VAD sentence sentence test method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. The terminal 102 can capture different audio clips from the server 104. The terminal 102 obtains the voice text corresponding to each audio clip through manual intervention, extracts the preset dimension attributes corresponding to each audio clip, and annotates the audio based on the preset dimension attributes. Fragments, get the marked audio cli...

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Abstract

The invention relates to the technical field of artificial intelligence, and provides a VAD sentence segmentation test method and device for voice recognition, computer equipment and a storage medium.The method comprises the steps: obtaining different audio clips and voice texts corresponding to the audio clips, marking the audio clips based on preset dimension attributes, respectively integrating the audio clips into different VAD test schemes, obtaining an actual recognition text result, obtaining an expected recognition text result based on the obtained voice text and the marked audio clips, and obtaining a VAD sentence segmentation test result through comparative analysis. In the whole process, different audio clips are obtained to ensure the comprehensiveness of data, the audio clipsare labeled based on preset dimension attributes, reasonable reuse of labeled data is achieved, testing, prediction and analysis can be conducted in different VAD testing schemes without complex manual labeling, and comprehensive and accurate testing of VAD sentence segmentation can be achieved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a VAD sentence test method, device, computer equipment and storage medium. Background technique [0002] With the popularization of devices such as smart speakers, smart robots, and smart medicine cabinets, the voice recognition function is used more and more widely. During the voice recognition process, App (Application) judges whether the user has finished speaking through the silence duration detected by VAD (Voice Activity Detection, voice activity detection), and then judges whether to answer based on the result. In this case, if the user has not finished speaking, it is judged that the user has finished speaking and begins to answer, which will cause incomplete semantic understanding and inaccurate answers. If it takes a long time for the user to finish speaking before judging that the recognition is over and starting to answer, the product will b...

Claims

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Application Information

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IPC IPC(8): G10L15/01G10L15/05
CPCG10L15/01G10L15/05
Inventor 侯进标罗锐张云婵
Owner KANG JIAN INFORMATION TECH (SHENZHEN) CO LTD
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