Derek Allan Boman
AI systems developer and inventor building ChannelRoute AI.
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An experimental speaker-recognition benchmark exploring how AI models perform under real-world telephony conditions. The project evaluates clean audio versus telephone-quality audio, channel adaptation, normalization methods, and confidence scoring to improve identity resolution in AI communication systems.
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An interactive prototype demonstrating AI-assisted outbound communication workflows. The demo illustrates multi-channel dialing, live-human detection, call intelligence, answer classification, and identity-aware communication concepts, providing a visual representation of how ChannelRoute AI can improve outbound calling efficiency.
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This technical overview explains ChannelRoute AI as a patent-based call intelligence system. It focuses on communication-channel management, live-human detection, speaker recognition, outbound-call intelligence, and the practical problem of reaching the right person faster. It connects my patent work with the broader idea that AI communication systems should make better routing and identity decisions, not just automate more calls.
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This work explores what I call the "right person problem" in conversational AI. Instead of assuming that the person who answers a call is the intended recipient, I argue that AI systems should recognize uncertainty, gather evidence through conversation, and determine whether they are speaking to the correct individual before making decisions. The goal is to build communication systems that are not only more automated, but also more accurate, trustworthy, and context-aware.
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