Voice control is an important function in many mobile devices, in a smart home, especially in providing people with disabilities a convenient way to communicate with the device. Despite many studies on this problem in the world, there has not been a formal study for the Vietnamese language. In addition, many studies did not offer a solution that can be expanded easily in the future. During this study, a dataset of Vietnamese speech commands is labeled and organized to be shared with community of general language research and Vietnamese language study in particular. This paper provides a speech collection and processing software. This study also designs and evaluates Recurrent Neural Networks to apply it to the data collected. The average recognition accuracy on the set of 15 commands for controlling smart home devices is 98.19%.
This article explores the effects of the COVID- 19 epidemic on Vietnam's labor market, thereby pointing out the advantages and disadvantages facing the labor market. The article uses qualitative methods and analysis, thereby giving results on the impact of the pandemic on Vietnam's labor market. The study results show that the Vietnamese labor market faces many difficulties in both human and financial resources. The closure (total or temporary) of activities has increasingly enhanced job loss. According to a survey by the General Statistics Office (2020), there are 2900 businesses temporarily closed and 30.8 million workers are affected. These impacts both create opportunities for the market but also cause it to face other challenges. The article also offers solutions that the Government implements to help businesses overcome the crisis.
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