[Purpose/significance]To identify the key core technology themes of intelligent voice quality inspection based on patent data,and to indicate the key core technology direction according to the recognition results.[Method/process]The LDA topic model is constructed to probe into the research hotspot and technological evolution trend of the key core technologies of intelligent voice quality inspection.[Result/conclusion]In this paper,eight core technical topics are identified,among which speech recognition and semantic understanding,natural language processing and voice emotion analysis are the most critical.These topics are in line with national policy orientation and superior resources can be concentrate in a reasonable layout.
NETL
NSTL
维普
万方数据
