> For the complete documentation index, see [llms.txt](https://channelroute-ai.gitbook.io/channelroute-ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://channelroute-ai.gitbook.io/channelroute-ai-docs/speaker-recognition/speaker-recognition.md). # Speaker Recognition ## Speaker Recognition Speaker recognition is one of the technical areas connected to ChannelRoute AI. In outbound communication, reaching a live human is only part of the problem. A system may still need to determine whether the person speaking is the intended contact, a gatekeeper, an assistant, a family member, or someone else. ChannelRoute AI treats speaker recognition as part of a broader identity-aware communication workflow. The practical question is: Did the system reach the right person, and how confident is that conclusion? This public documentation is a high-level overview. It does not disclose proprietary source code, confidential system logic, credentials, private datasets, voice models, or production infrastructure. ChannelRoute AI was developed by Derek Allan Boman, an AI systems developer and inventor focused on communication systems, call intelligence, outbound workflow optimization, and AI-assisted communication workflows. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://channelroute-ai.gitbook.io/channelroute-ai-docs/speaker-recognition/speaker-recognition.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.