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Understanding the Architecture of Voice Assistants: A Technical Deep Dive

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  • Venkatesh Sriram

Abstract

This comprehensive article explores the evolution of voice assistant technologies and their current state, examining their architectural components, performance metrics, and integration challenges. The article investigates various aspects, including speech recognition systems, natural language understanding capabilities, dialogue management, and system integration frameworks. The article synthesizes findings from multiple studies to provide insights into user adoption patterns, technical performance benchmarks, and the effectiveness of error-handling mechanisms. The article encompasses controlled environment testing and real-world applications, offering a holistic view of voice assistant capabilities across different operational contexts and use cases.

Suggested Citation

  • Venkatesh Sriram, 2025. "Understanding the Architecture of Voice Assistants: A Technical Deep Dive," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 587-595, March.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1129
    DOI: 10.32628/CSEIT25112398
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112398
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