Track: Communications Quality and Reliability |
| Towards Frictionless Dialogue: Real-Time Communication for Voice AI Agents |
| The rise of voice-to-voice agentic AI systems is redefining how humans interact with technology. Unlike text-based chatbots, these systems demand real-time speech recognition, response generation, and speech synthesis, while preserving the natural flow of conversation. Achieving seamless communication requires overcoming strict constraints on latency, reliability, and quality. This session examines the core bottlenecks of real-time communication in speech-driven AI: limitations of Automatic Speech Recognition (ASR) across accents and noisy environments, synchronization challenges in streaming pipelines, and maintaining conversational context under low-latency conditions. Architectural approaches for building efficient pipelines that integrate ASR, natural language understanding, and speech synthesis are discussed, along with the role of RTC protocols in ensuring robustness and user experience. The talk also highlights techniques such as adaptive buffering, edge deployment, and multimodal alignment as pathways to reduce delay and enhance communication quality. Finally, it outlines emerging opportunities where quantum-inspired methods could contribute to optimizing real-time signal processing and secure transmission, pointing towards the next generation of seamless, voice-driven AI systems. |
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Real Time Communications Conference & Expo at Illinois Tech
IEEE International Conference
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