声音识别技术在日语自然语言处理系统中的应用

Application of Voice Recognition Technology in Japanese Natural Language Processing Systems

声音识别作为人机交互的重要手段,在自然语言处理系统中扮演着重要角色。基于此,分析声音识别技术的原理和特点,提出一种面向日语的声音识别自然语言处理系统架构。该系统采用深度学习方法,构建了声学模型、语言模型及语义理解模型,并在日语语音数据集上进行了实验验证,为智能语音交互提供了新思路。

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.