Smart Ai Voice Assistant: A Real-time Conversational Agent Using Deep Learning And Natural Language Processing

Abstract

Voice-driven Interfaces Represent One Of The Most Impactful Shifts In Human-computer Interaction Of The Past Decade. This Paper Presents The Design, Implementation, And Evaluation Of A Smart AI Voice Assistant—an End-to-end Conversational System That Integrates Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Dialogue Management, And Speech Synthesis Into A Unified Real-time Pipeline. The System Leverages Transformer-based Language Models For Intent Classification And Entity Extraction, Combined With A Recurrent Dialogue Manager That Maintains Contextual State Across Multiturn Conversations. Evaluated On A Curated Dataset Of Spoken Queries Spanning Ten Functional Domains, The Assistant Achieves A Word Error Rate (WER) Of 6.2Keywords — Voice Assistant, Natural Language Processing, Automatic Speech Recognition, Transformer, Dialogue Management, Deep Learning, Human- Computer Interaction

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