Information masking removal evaluation method and system based on closed set text short sentence test
A short-sentence, masking sound technology, applied in the field of data analysis, can solve problems such as the lack of strict control of factors affecting the evaluation results and the information masking effect, and achieve the effect of a reliable auditory perception evaluation method.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0031] Such as figure 1 As shown, the embodiment of the present application provides a method for de-information masking evaluation based on closed-text phrase test, the method comprising:
[0032] Step S100 obtains test phrase information;
[0033]Further, said obtaining test short sentence information includes: obtaining a preset test vocabulary database, said preset test vocabulary database including preset type word information; obtaining a preset sentence structure, said preset sentence structure and words Corresponding to the preset type of information; according to the preset type, word extraction is carried out from the preset test word bank; the word information extracted and the preset sentence structure are input into the sentence construction model to obtain the test short sentence information.
[0034] Specifically, different types of test words are set to build a preset test word library, which includes words of various parts of speech, such as nouns, verbs, ad...
Embodiment 2
[0066] Based on the same inventive idea as the method of de-information masking evaluation based on the test of closed Chinese short sentences in the foregoing embodiment, the present invention also provides a kind of de-information masking evaluation system based on closed Chinese short sentence test, such as figure 2 As shown, the system includes:
[0067] The first obtaining unit 11, the first obtaining unit 11 is used to obtain test phrase information;
[0068] A second obtaining unit 12, the second obtaining unit 12 is used to obtain a masking sound information type set, and the masking sound information type set includes steady-state background noise, dynamic noise, speech spectrum noise, and multi-person speaking noise;
[0069] A third obtaining unit 13, the third obtaining unit 13 is configured to obtain first masker sound information according to the set of types of masker sound information;
[0070] A fourth obtaining unit 14, the fourth obtaining unit 14 is confi...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


