Journal of Advances in Developmental Research

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A Real Time Speech To Text Conversational Agents For Hands Free Virtual Machine

Author(s) Nishanth. R, Ms. P. Anuja
Country India
Abstract The increasing demand for contactless and natural human-computer interaction has intensified research in real-time conversational artificial intelligence systems. Speech-driven virtual assistants enable seamless hands-free control across diverse application domains, including healthcare, smart environments,
automotive systems, and assistive technologies. This paper presents the design and implementation of a real-time speech-to-text conversational framework that integrates streaming Automatic Speech Recognition (ASR), contextual Natural Language Understanding (NLU), dialogue state tracking, and neural Text-to-speech (TTS) synthesis. The proposed architecture emphasizes low-latency inference, optimized model deployment, and contextual continuity in multi-turn conversations. Experimental evaluation demonstrates significant improvements in Word Error Rate (WER), intent detection accuracy, and response latency
compared to conventional cloud-dependent systems. The proposed system contributes toward scalable, privacy-aware, and efficient hands-free virtual assistance platforms.
Keywords Automatic Speech Recognition, Conversational AI, Natural Language Processing, Hands-Free Systems, Real-Time Inference, Dialogue Systems.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-05-31
Cite This A Real Time Speech To Text Conversational Agents For Hands Free Virtual Machine - Nishanth. R, Ms. P. Anuja - IJAIDR Volume 17, Issue 1, January-June 2026.
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