A detection method and learning device for dictation results
A device and dictation technology, which is applied to the teaching aids, instruments, computing and other directions of electrical operation, can solve problems such as affecting the recognition and proofreading of dictation answers, adversely affecting the accuracy of dictation detection, and inability to recognize modification marks, etc., and achieve the effect of improving accuracy.
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Embodiment 1
[0072] see figure 1 , figure 1 It is a schematic flowchart of a method for detecting a dictation result disclosed in an embodiment of the present invention. like figure 1 As shown, the detection method of the dictation result may include the following steps:
[0073] 101. The learning device collects handwritten modification marks used by the user during the writing process for modifying the written content.
[0074] In this embodiment of the present invention, the learning device may be a learning tablet, a learning machine, a learning mobile phone, a reading machine, a tutoring machine, a mobile tablet, a Personal Digital Assistant (PDA), a Mobile Internet Device (MID) or Devices such as a television set are not limited in the embodiments of the present invention.
[0075] In this embodiment of the present invention, the learning device can collect a large number of handwritten dictation answers uploaded by users, and collect handwritten modification marks used by the us...
Embodiment 2
[0108] see figure 2 , figure 2 It is a schematic flowchart of another method for detecting a dictation result disclosed in an embodiment of the present invention. like figure 2 As shown, the detection method of the dictation result may include the following steps:
[0109] Steps 201 to 202; wherein, steps 201 to 202 are the same as steps 101 to 102 in the first embodiment, and are not repeated here.
[0110] 203. The learning device acquires environmental sound information around the learning device.
[0111] 204. The learning device determines whether the ambient sound information around the learning device is white noise; if so, go to step 205; if not, end the process.
[0112] 205. The learning device determines whether the decibel value of the white noise is greater than or equal to a preset decibel threshold; if so, go to step 206; if not, end the process.
[0113] 206. The learning device determines that the surrounding environment of the learning device is noisy...
Embodiment 3
[0124] see image 3 , image 3 It is a schematic structural diagram of a learning device disclosed in an embodiment of the present invention. like image 3 As shown, the learning device may include:
[0125] A collection unit 301, configured to collect handwritten modification marks used by the user in the writing process for modifying the writing content;
[0126] The establishment unit 302 is used to establish a matching relationship between a handwritten modification mark and a standard modification mark, and the standard modification mark is a modification symbol for modifying the written content recorded in the standard editing and proofreading data;
[0127] The first determining unit 303 is configured to, according to the matching relationship, determine the target standard modification mark corresponding to the target handwritten modification mark in the dictation answer uploaded by the user in the standard modification mark;
[0128] A modification unit 304, confi...
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