Narrating and Illustrating Early American Literature with Generative AI to Engage Students
Program Type
Event
Start Date and Time
11-5-2026 8:00 AM
Program Description
This talk will demonstrate how Articulate’s AI text to speech voices can narrate an open textbook. This experiment was undertaken to help students engage with the older, text heavy literary content. It will look at the voices available and will present one professional narrator voice that was used to narrate The Religious Experience and Journal of Mrs. Jarena Lee. It will discuss modifications to the text symbols entered within the dialogue box of the tool to help it pronounce the text within the book correctly. The presentation will also show how CoPilot (via DALL-E 3) was chosen, as opposed to Adobe’s AI image generation tool, to create illustrations for this early American literature. It will critique how well Articulate’s third generation model of their AI text to speech functionality is able to convey tone and emotion in text excerpts from early American literature. Articulate’s narrative voices will be compared to the sound of other AI text to speech voices, such as those found in Microsoft. Learning outcomes: The participants will be able to: —Identify generative AI tools to narrate and illustrate open textbooks. —Recognize limitations of the AI text to speech generator in Articulate and how to get around some of these. —Evaluate which tools are best for their needs
Narrating and Illustrating Early American Literature with Generative AI to Engage Students
This talk will demonstrate how Articulate’s AI text to speech voices can narrate an open textbook. This experiment was undertaken to help students engage with the older, text heavy literary content. It will look at the voices available and will present one professional narrator voice that was used to narrate The Religious Experience and Journal of Mrs. Jarena Lee. It will discuss modifications to the text symbols entered within the dialogue box of the tool to help it pronounce the text within the book correctly. The presentation will also show how CoPilot (via DALL-E 3) was chosen, as opposed to Adobe’s AI image generation tool, to create illustrations for this early American literature. It will critique how well Articulate’s third generation model of their AI text to speech functionality is able to convey tone and emotion in text excerpts from early American literature. Articulate’s narrative voices will be compared to the sound of other AI text to speech voices, such as those found in Microsoft. Learning outcomes: The participants will be able to: —Identify generative AI tools to narrate and illustrate open textbooks. —Recognize limitations of the AI text to speech generator in Articulate and how to get around some of these. —Evaluate which tools are best for their needs
