AuriService: An Intelligent Auditory Assistance Framework for Seamless Customer Interaction and Accessibility
AuriService, auditory AI, voice assistant, customer service automation, speech emotion recognition, conversational AI 1. Introduction Customer service remains a labor-intensive domain, with long wait times and rigid menu-based IVR systems causing user frustration. Meanwhile, individuals with visual impairments or low literacy face significant barriers to accessing digital services. The rise of large language models (LLMs) and speech-to-text technologies offers an opportunity to reimagine auditory interfaces. auriservice
[Your Name] Institution: [Your University/Organization] Date: April 13, 2026 Abstract In an era where user experience and accessibility are paramount, voice-based interfaces have emerged as a critical component of service delivery. This paper introduces AuriService —a novel auditory service system that integrates natural language processing (NLP), speech emotion recognition, and real-time knowledge retrieval to provide intelligent, empathetic, and efficient customer support. Unlike conventional interactive voice response (IVR) systems, AuriService leverages transformer-based models to understand context, detect user sentiment, and execute multi-turn dialogues. We discuss its system architecture, key features, use cases in banking, healthcare, and smart homes, as well as performance benchmarks. Results indicate a 34% reduction in call resolution time and a 41% improvement in user satisfaction compared to traditional systems. The rise of large language models (LLMs) and