Application of Voice Recognition Technology in Japanese Natural Language Processing Systems
Voice recognition,as an important interface for human-computer interaction,plays an important role in natural language processing systems.Based on this,analyze the principles and characteristics of voice recognition technology,and propose a natural language processing system architecture for Japanese speech recognition.The system adopts deep learning methods,constructs acoustic models,language models,and semantic understanding models,and conducts experimental verification on Japanese speech datasets,providing new ideas for intelligent speech interaction.
voice recognitionJapanesenatural language processingdeep learning
NETL
NSTL
万方数据
