> For the complete documentation index, see [llms.txt](https://docs.coreterminal.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coreterminal.ai/product/key-features/advanced-ai-capabilities/voice-recognition-and-synthesis.md). # Voice Recognition and Synthesis The platform offers advanced voice recognition and synthesis capabilities, enabling users to develop applications that can understand and generate human speech. This is particularly valuable for industries such as customer service, where voice-based interactions are crucial. The Core Terminal’s voice recognition technology can be used to create intelligent virtual assistants, automated customer support systems, and voice-controlled applications, enhancing user experience and operational efficiency. The platform’s voice synthesis capabilities allow developers to generate natural-sounding speech, enabling the creation of lifelike virtual characters and personalized audio content. These features open up new possibilities for innovation in areas such as entertainment, education, and accessibility, making advanced voice technologies accessible to a broader range of users. --- # 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://docs.coreterminal.ai/product/key-features/advanced-ai-capabilities/voice-recognition-and-synthesis.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.