WAS Science Nature (WASSN) ISSN: 2766-7715 http://worldascience.com/journals/index.php/wassn <p><strong style="font-size: 0.875rem;">WAS Science Nature (WASSN) (<a class="is_text" href="https://portal.issn.org/resource/ISSN/2766-7715#">ISSN: 2766-7715</a>) </strong><span style="font-size: 0.875rem;"> is a comprehensive <strong>PEER-REVIEWED</strong> journal aiming to proceed science-society interactions. <strong>The open access</strong> strategy offers increased vulnerability of the research and help in dissemination of research results, as well. We believe that all accurate scientific results have to be published and disseminated by being freely accessible to all.</span></p> <h3><span style="color: #0000ff;">AIMS &amp; SCOPE</span></h3> <p>WAS Science Nature (WASSN) journal publishes multidisciplinary and interdisciplinary <strong>peer-reviewed</strong> research. WASSN accepts research in all subject areas of science, medicine, engineering, technology, social sciences and humanities. The submitted manuscripts are evaluated on the basis of high ethical standards, accurate methodology, scientific and perceived novelty.</p> <h3><span style="color: #0000ff;">Types of articles: </span></h3> <p><em><strong>Original research</strong></em> that contributes to the base of scientific knowledge, including interdisciplinary, replication studies, and negative or null results.<br /><em><strong>Systematic reviews</strong></em> whose methods ensure the comprehensive and unbiased sampling of existing literature.<br /><em><strong>Qualitative research</strong></em> that adheres to appropriate study design and reporting guidelines.<br /><em><strong>Other submissions </strong></em>that describes methods, software, databases, or other tools that if they follow the appropriate reporting guidelines.</p> <h3><span style="color: #0000ff;">Open Access Statement</span></h3> <p>WASSN is a peer-reviewed open-access journal. This implies that every content is available for free. Without previous permission from the author or publisher, users or institutions may read, download, copy, distribute, print, search, or link to the full texts of the articles or use them for any other legal purpose. </p> <p> </p> World Advanced Science LLC. en-US WAS Science Nature (WASSN) ISSN: 2766-7715 2766-7715 CAN AI GENERATE EFFICIENT AND ACCEPTED SPEECH? http://worldascience.com/journals/index.php/wassn/article/view/42 <p>AI has changed many human tasks, including speech preparation. This research paper examines AI's numerous applications in speech generation and delivery. It also examines AI's impact on content research, writing, language development, practice, audience analysis, translation, voice synthesis, visual aids, customization, and accessibility. This paper evaluates AI technologies like advanced natural language processing (NLP) models that produce and revise text and voice recognition systems that provide delicate feedback on delivery during rehearsal. We also examine AI's capacity to personalize speeches to varied audiences by evaluating demographic and psychographic data, improving public speaking engagement and effect. The study synthesizes AI's application in real-world speech preparation situations, emphasizes its efficiency, and critically evaluates the limits and ethical issues of using AI for such a human function. The article provides a detailed assessment of existing technology, new trends, and future approaches to integrate AI into speechwriting while keeping authenticity and emotional resonance. Also, AI-powered tools can decrease the time needed for research and composition by a huge amount while also improving the quality of the speech content. AI's role in practice and feedback will also, we think, lead to measured gains in delivery, such as less use of filler words and better pace. The paper investigates the possibility of AI-generated speech and reviews the AI-based algorithms used for the same purpose. It also studies the acceptability and efficiency of the generated speeches.</p> Rabie A. Ramadan Kamal Aldin Yousif Copyright (c) 2024 WAS Science Nature (WASSN) ISSN: 2766-7715 https://creativecommons.org/licenses/by-nc/4.0 2024-03-16 2024-03-16 6 1