Software System for Assessing Students’ Voice Responses
УДК 519.6:51-77:004.89 519.677
Abstract
The paper discusses an approach to creating software tools for assessing students' voice responses obtained using speech recognition technologies. Intelligent technologies based on speech recognition systems are widely used today in distance learning. Therefore, it is necessary to enhance and improve the tools used for assessing knowledge as a result of educational activities. The paper proposes a software system that allows one to process a student’s voice response and evaluate the recognized response using text analysis algorithms. The freely distributed Vosk speech recognition system is used to convert the student's voice response into a text message. Symbolic and statistical natural language processing algorithms help process the text message and obtain a score that reflects the correctness of the student’s answer. The developed software system has been tested with computational experiment methods. Tests prove that the calculated score points fully correspond to the assessment scale used by a teacher during oral exams. The work results demonstrate good prospects for the developed software system to assess exam answers automatically using a voice assistant in various e-learning environments.
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References
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