2 results about "Proficiency testing" patented technology

This application discloses a question-and-answer spoken language detection method and related devices, electronic devices, and storage media. The method includes: recognizing the spoken response of a target subject to a test question to obtain a first phoneme sequence; selecting a second phoneme sequence as a target phoneme sequence based on the matching results of the first phoneme sequence with each of the second phoneme sequences; obtaining an editing operation sequence that transforms the target phoneme sequence into the first phoneme sequence, and obtaining a key identifier sequence for the target phoneme sequence; wherein the key identifier sequence contains a first identifier for each phoneme in the target phoneme sequence, and the first identifier represents whether the phoneme belongs to a keyword marked in the reference answer to which the target phoneme sequence belongs; and performing detection based on the spoken response, the target phoneme sequence, the editing operation sequence, and the key identifier sequence to obtain the spoken language detection result of the target subject. This scheme can improve the accuracy of question-and-answer spoken language detection.

The application discloses a vocabulary comprehensive ability test method and system combining spelling and pronunciation, and relates to the technical field of data processing. The method comprises the following steps: collecting spelling data, voice data and correction operation data of a user on target vocabulary; calculating bimodal mastery values of each target vocabulary based on the spelling data and the voice data, and calculating correction cost values of each target vocabulary based on the correction operation data; mapping each target vocabulary to a dynamic cognitive state matrix, and marking vocabulary with a bimodal mastery value lower than a first threshold value and a correction cost value higher than a second threshold value as high-risk vocabulary; if the bimodal mastery values of more than a preset proportion of associated vocabulary of the high-risk vocabulary decrease or the correction cost values of the associated vocabulary increase, it is determined that there is a vocabulary network instability risk formed by the high-risk vocabulary and the associated vocabulary; and generating a diagnosis report according to the dynamic cognitive state matrix and the determination result of the vocabulary network instability risk.