A0707
Title: Exploring the evolution law of intelligent voice technology using text mining
Authors: Rui Huang - Communication University of China (China)
Junjiang Liu - Communication University of China (China)
Huiwen Deng - Communication University of China (China)
Jinluan Ren - Communication University of China (China) [presenting]
Bo Li - Communication University of China (China)
Abstract: Intelligent voice technology (IVT), as a 'main artery' for advancing human-computer interaction, has a profound impact on the development of artificial intelligence technology. Studying the competitive advantages and development trends of IVT and summarizing its evolutionary law has theoretical significance for clarifying the development trends of IVT and exploring strategies to advance its development. Several methods are comprehensively used to lock the IVT keyword set, ultimately identifying 22,355 patents related to IVT. Moreover, this research employs the economic fitness-complexity (EFC) method to calculate national fitness and technological complexity and analyze the global evolution patterns of IVT. It is found that the leapfrog development of IVT occurred between 2011 and 2020, and the development of IVT subfields has its own characteristics. A country with high adaptability holds an absolute dominant position in the IVT field. If there is no significant technological barrier in the development of IVT, then it is possible for relatively lagging countries to achieve leapfrogging in the field of IVT.
