{"id":5090,"date":"2024-01-26T14:49:39","date_gmt":"2024-01-26T14:49:39","guid":{"rendered":"https:\/\/seyboldpublications.com\/?page_id=5090"},"modified":"2024-02-06T09:54:38","modified_gmt":"2024-02-06T09:54:38","slug":"rani","status":"publish","type":"page","link":"https:\/\/seyboldpublications.com\/index.php\/rani\/","title":{"rendered":"Rani"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"5090\" class=\"elementor elementor-5090\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-176d42e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"176d42e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c29144c\" data-id=\"c29144c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1c6ce36 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1c6ce36\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-020f933\" data-id=\"020f933\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-16bdbc1 elementor-widget elementor-widget-text-editor\" data-id=\"16bdbc1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.18.0 - 20-12-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h5><strong>TITLE:\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<\/strong><\/h5><p><a href=\"https:\/\/seyboldpublications.com\/\"><strong>A Comprehensive Analysis on Speech to Image Translation using Deep Learning Models<\/strong><\/a><\/p><p><strong>AUTHORS:\u00a0 \u00a0 \u00a0<\/strong><\/p><p><strong>Chandan Rani S R, <\/strong><strong>Kavya N P<\/strong><\/p><p><strong>DOI<\/strong>:\u00a0 <a href=\"https:\/\/doi-ojs.org\/10-5110-77-1103\/\">10.5110\/77. 1103\u00a0<\/a> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<strong>Page:\u00a0 \u00a0165-182<\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<strong>\u00a0Vol:<\/strong> 19\u00a0 \u00a0 <strong>Issue:<\/strong> 01\u00a0 \u00a0<strong>Year:<\/strong> 2024<\/p><p><img decoding=\"async\" class=\"alignnone wp-image-3235\" src=\"https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/10\/creative-commons-cc-character-785334-300x300.png\" alt=\"creative commons, cc, character-785334.jpg\" width=\"26\" height=\"26\" srcset=\"https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/10\/creative-commons-cc-character-785334-300x300.png 300w, https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/10\/creative-commons-cc-character-785334-1022x1024.png 1022w, https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/10\/creative-commons-cc-character-785334-150x150.png 150w, https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/10\/creative-commons-cc-character-785334-768x769.png 768w, https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/10\/creative-commons-cc-character-785334.png 1278w\" sizes=\"(max-width: 26px) 100vw, 26px\" \/>\u00a0 \u00a0<img decoding=\"async\" class=\"alignnone size-medium wp-image-1242\" src=\"https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/06\/kjk-e1687889230616-300x14.png\" alt=\"\" width=\"300\" height=\"14\" srcset=\"https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/06\/kjk-e1687889230616-300x14.png 300w, https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/06\/kjk-e1687889230616-768x36.png 768w, https:\/\/seyboldpublications.com\/wp-content\/uploads\/2023\/06\/kjk-e1687889230616.png 900w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p><p><strong>ABSTRACT<\/strong><\/p><p>In the past, the primary means of conveying visual information relied on text-based explanations or visual cues. However, these approaches are not accessible to individuals with visual impairments or those who do not understand the language used for visual information. To address this communication barrier, the concept of speech-to-image translation was introduced, leveraging machine learning and deep learning techniques. This study focuses on the introduction of a speech-to-image translation method using machine learning and deep learning. A dataset was collected containing speech samples paired with corresponding images. The speech data was converted into text using Automatic Speech Recognition (ASR) techniques. Globally, a comprehensive analysis of classification-based deep learning models for image translation is developed and conducted by various researchers. This analysis covered their performance, datasets used, and feature extraction methods. The utilization of deep learning for speech-to-image translation presents several challenges, which are also discussed. Finally, potential areas for future research in this field are identified and presented alongside the listed challenges. In summary, this abstract highlight the introduction of a speech-to-image translation method using machine learning and deep learning. It outlines the dataset collection process, conversion of speech to text, and the analysis of existing deep learning models for image translation. The challenges associated with deep learning-based speech-to-image translation are acknowledged, and potential future research directions are identified.<\/p><p><strong>Keywords:<\/strong><\/p><p>Automated Speech Recognition, Deep learning, Machine learning, Speech-to-image translation, Visual Information.<\/p><p><a href=\"#\"><strong>Received<\/strong>:<\/a> 06 January 2024<\/p><p><a href=\"#\"><strong>Accepted:<\/strong><\/a> 22 January 2024<\/p><p><a href=\"#\"> <strong>Published:<\/strong><\/a> 29 January 2024<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9f362b1 elementor-widget elementor-widget-button\" data-id=\"9f362b1\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/seyboldpublications.com\/wp-content\/uploads\/2024\/02\/Rani29rev.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon elementor-align-icon-left\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-pdf\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t<span class=\"elementor-button-text\">PDF<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>TITLE:\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 A Comprehensive Analysis on Speech to Image Translation using Deep Learning Models AUTHORS:\u00a0 \u00a0 \u00a0 Chandan Rani S R, Kavya N P DOI:\u00a0 10.5110\/77. 1103\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Page:\u00a0 \u00a0165-182\u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\u00a0Vol: 19\u00a0 \u00a0 Issue: 01\u00a0 \u00a0Year: 2024 \u00a0 \u00a0 ABSTRACT In &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/seyboldpublications.com\/index.php\/rani\/\"> <span class=\"screen-reader-text\">Rani<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"class_list":["post-5090","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.7 - 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