Intelligent Voice Assistant Interaction Design in Virtual Reality Environments
Jing Xie · 2024
Virtual reality intelligent voice assistants represent an emerging interaction paradigm that has garnered substantial interest in terms of technical implementation and performance optimization. This study explores innovative applications of speech recognition model optimization, acoustic model adaptation, 3D audio algorithms, and real-time speech synthesis technology in virtual reality environments. Through comprehensive multi-dimensional performance evaluation, the system demonstrates significant advancements in key indicators including recognition accuracy, synthesis naturalness, and response time. The research introduces novel approaches to latency optimization and cross-platform compatibility design, further enhancing user experience. Experimental results reveal marked improvements in speech recognition word error rates, synthesis mean opinion scores, and end-to-end system latency. This work provides crucial technical support for natural language interaction in virtual reality, potentially accelerating development across various application domains such as gaming, education, and social interaction.