摘要
结合虚拟数字人技术,设计了一套具有语音识别、语义理解、对话管理及语音合成等功能的智能语音客服系统.该系统采用预训练模型、知识图谱、变分自编码器等技术,提升了语音交互的准确性和个性化服务能力.具体模块包括语音识别与理解、对话管理与逻辑处理、语音合成与输出.实验结果显示,系统在语音识别准确率、意图识别、对话任务完成率及语音自然度方面表现优异,并在真实场景下显著提升了用户满意度和问题解决效率,展示了广阔的应用前景.
Abstract
Combined with virtual digital human technology,an intelligent voice customer service system with speech recognition,semantic understanding,dialogue management and speech synthesis is designed. It employs pre-trained models,knowledge graphs,and variational autoencoders. These technologies improve voice interaction accuracy and personalized service. The system has modules for speech recognition,dialogue management,and speech synthesis. Experiments show that the system excels in speech recognition,intent recognition,task completion,and speech naturalness. In real-world use,it improves user satisfaction and problem resolution,showing great potential.
维普
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