The Art of Storytelling: Multi-Agent Generative AI for Dynamic Multimodal Narratives

Samee Arif, Taimoor Arif, Aamina Jamal Khan, Muhammad Saad Haroon, Agha Ali Raza, Awais Athar
{"title":"The Art of Storytelling: Multi-Agent Generative AI for Dynamic Multimodal Narratives","authors":"Samee Arif, Taimoor Arif, Aamina Jamal Khan, Muhammad Saad Haroon, Agha Ali Raza, Awais Athar","doi":"arxiv-2409.11261","DOIUrl":null,"url":null,"abstract":"This paper introduces the concept of an education tool that utilizes\nGenerative Artificial Intelligence (GenAI) to enhance storytelling for\nchildren. The system combines GenAI-driven narrative co-creation,\ntext-to-speech conversion, and text-to-video generation to produce an engaging\nexperience for learners. We describe the co-creation process, the adaptation of\nnarratives into spoken words using text-to-speech models, and the\ntransformation of these narratives into contextually relevant visuals through\ntext-to-video technology. Our evaluation covers the linguistics of the\ngenerated stories, the text-to-speech conversion quality, and the accuracy of\nthe generated visuals.","PeriodicalId":501030,"journal":{"name":"arXiv - CS - Computation and Language","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computation and Language","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper introduces the concept of an education tool that utilizes Generative Artificial Intelligence (GenAI) to enhance storytelling for children. The system combines GenAI-driven narrative co-creation, text-to-speech conversion, and text-to-video generation to produce an engaging experience for learners. We describe the co-creation process, the adaptation of narratives into spoken words using text-to-speech models, and the transformation of these narratives into contextually relevant visuals through text-to-video technology. Our evaluation covers the linguistics of the generated stories, the text-to-speech conversion quality, and the accuracy of the generated visuals.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
讲故事的艺术:用于动态多模态叙事的多代理生成式人工智能
本文介绍了一种教育工具的概念,该工具利用生成人工智能(GenAI)来增强儿童讲故事的能力。该系统结合了 GenAI 驱动的叙事共创、文本到语音的转换以及文本到视频的生成,为学习者带来了引人入胜的体验。我们描述了共同创作过程、使用文本到语音模型将叙述改编成口语,以及通过文本到视频技术将这些叙述转换成与上下文相关的视觉效果。我们的评估包括生成故事的语言学、文本到语音的转换质量以及生成视觉效果的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
LLMs + Persona-Plug = Personalized LLMs MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources Human-like Affective Cognition in Foundation Models
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1