Understanding the Architecture of Voice Assistants: A Technical Deep Dive
DOI:
https://doi.org/10.32628/CSEIT25112398Keywords:
Voice Assistant Architecture, Speech Recognition, Natural Language Understanding, Error Handling Mechanisms, System IntegrationAbstract
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.
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