The information about Coronavirus disease 2019 (COVID-19), especially about infected cases in every country is very urgent. In this paper, an algorithm to analyze the COVID-19 infected case reports is introduced. Fifty-two (52) reported cases from LuatVietnam -a reputable Vietnamese online newspaper -were taken as input. The retrieved data were analyzed and classified. The analysis output was saved into a CSV file showing the essential extracted information about infected cases. Each output row contains Patient ID, Gender, Age, Address and Status. Based on the tested results, the algorithm achieved the accuracy of 86.67% with the average processing time per patient of 0.103 milliseconds.
Nowadays, people use speech recognition services for many purposes in their daily lives, such as learning foreign languages, communicating, etc. Therefore, they need to decide which ones to use. High accuracy and short processing time speech recognition service will help improve the work effectively as the time to recheck output results and the delay time between recognition tasks. For Vietnamese speech recognition, Web Speech API and FPT.AI API are popular. Web Speech API supports multiple languages, while FPT.AI API focuses on Vietnamese as FPT.AI's products are developed exclusively for the Vietnamese market. In order to assist people in choosing a suitable Vietnamese speech recognition service, in this paper, the speech recognizing accuracy and processing time between Web Speech API and FPT.AI API has been compared. 307 audio files containing Vietnamese speeches which are obtained from FPT Open Speech Dataset were chosen to test the accuracy and the processing time of both APIs. For the accuracy test, FPT.AI API was 0.57% more precise than Web Speech API. However, in the processing time test, Web Speech API was 50.99% faster than FPT.AI API. For Web Speech API, it was mostly accurate to process 12-14-second-long audio files, while FPT.AI API did best when process 2-4-second-long audio files. The audio files with duration values between 2 and 8 seconds are optimal for both APIs to proceed with STT conversions.
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