{"id":12102,"date":"2026-06-18T10:32:04","date_gmt":"2026-06-18T08:32:04","guid":{"rendered":"https:\/\/musicainfo.blog\/?p=12102"},"modified":"2026-06-18T10:34:14","modified_gmt":"2026-06-18T08:34:14","slug":"the-use-of-artificial-intelligence-in-the-creation-of-analytical-texts-on-musicinfonet","status":"publish","type":"post","link":"https:\/\/musicainfo.blog\/en\/the-use-of-artificial-intelligence-in-the-creation-of-analytical-texts-on-musicinfonet\/","title":{"rendered":"The Use of Artificial Intelligence in the Creation of Analytical Texts on musicainfo.net"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>musicainfo.net uses artificial intelligence (AI) to efficiently generate analytical texts. Nearly <a href=\"https:\/\/en.musicainfo.net\/ergebnis.php?kat=2&amp;vol=musicainfo.net%20(KI)\">10,000 works<\/a> have already been processed and analyzed. The AI does not handle the entire text-generation process; rather, it functions as an intelligent research and processing tool. First, the AI gathers relevant information from various sources, including composer biographies, publisher texts, and score analyses prepared by experts, which form the basis for the depth of content. Our staff then systematically compares and synthesizes this data. After corrections and additions, the AI generates a precise, well-structured text of approximately 5,000 characters.      This process ensures an objective and professionally sound presentation that meets the high standards of conductors, music teachers, and active musicians. <\/strong><\/p>\n\n<p class=\"wp-block-paragraph\"><strong>AI-Powered Internet Research in Wind Music: Opportunities and Limitations<\/strong><\/p>\n\n<p class=\"wp-block-paragraph\">The quality of the research findings depends on the specific parameters of the underlying work\u2019s subject matter. What ideas of the composer underlie the work? How were these influenced by the composer\u2019s environment or the political climate of the time? How does the composition compare to similar works by other composers? etc.    <\/p>\n\n<p class=\"wp-block-paragraph\">AI-powered research is revolutionizing information gathering by quickly analyzing large amounts of data and providing precise answers. AI saves time, delivers accurate and up-to-date results, and organizes information by topic. All references used in the preparation of the text can be found at the end of each analytical section.  <\/p>\n\n<p class=\"wp-block-paragraph\"><strong>Work Analyses and Score Reviews<\/strong><\/p>\n\n<p class=\"wp-block-paragraph\">Scores contain a wealth of information that is of great importance to musicians. This includes the compositional structure, which describes the framework of a piece; movement labels, which identify musical sections such as the exposition or recapitulation; and performance instructions, which specify tempo, dynamics, and articulation. This data is systematically extracted from the scores by experts and converted into text that AI can process. The AI analyzes this information and generates precise text modules from it. We then review, correct, expand, or shorten this text to provide you with an informative and comprehensive report.    <\/p>\n\n<p class=\"wp-block-paragraph\"><strong>Labeling AI-generated texts: EU requirements and their implementation on musicainfo.net<\/strong><\/p>\n\n<p class=\"wp-block-paragraph\">As part of the AI Act and the Digital Services Act (DSA), the EU has introduced regulations requiring transparency regarding AI-generated content. These requirements aim to clearly inform users whether they are interacting with machine-generated text, images, or other media. A key aspect of these regulations is the transparency requirement: platforms and providers must make it clear whether content has been generated entirely or partially by AI. This applies in particular to texts intended for the public, such as blog articles, product descriptions, or social media posts.   <\/p>\n\n<p class=\"wp-block-paragraph\">The labeling is intended to prevent users from mistakenly believing that AI-generated content was created by humans. This is particularly relevant in fields such as journalism, education, and specialized music information, where precision and in-depth knowledge are crucial. At musicainfo.net, we consistently adhere to EU guidelines. All texts created with the assistance of AI are marked with the abbreviation (AI). This applies to specialist articles and work reviews where AI assists, for example, in the creation of analyses, score notes, or musical recommendations. AI-generated descriptions or additions are also marked accordingly in our extensive database for musicians. Furthermore, this labeling applies to service texts such as newsletters, blog articles, FAQs, or help sections\u2014wherever AI is used, the notation (AI) will appear.      <\/p>\n\n<p class=\"wp-block-paragraph\"><strong>AI Generators: Technology and Applications in the Music Industry<\/strong><\/p>\n\n<p class=\"wp-block-paragraph\">AI generators have become increasingly important in recent years. They enable the automated creation of text, images, music, and other content. These technologies are based on complex algorithms and machine learning, which allow them to produce human-like results. AI generators are opening up new possibilities, particularly in the music industry\u2014from composition to the analysis of musical works.   <\/p>\n\n<p class=\"wp-block-paragraph\">Unlike global providers, European AI generators often prioritize data protection and compliance with the GDPR. For these reasons, we at musicainfo.net use a European version to provide expert and data-secure content for musicians, conductors, and music teachers. This ensures not only high-quality generated content but also compliance with European data protection standards.  <\/p>\n\n<p class=\"wp-block-paragraph\"><strong>Errors, additions, experiences<\/strong><\/p>\n\n<p class=\"wp-block-paragraph\">Despite our best efforts and thorough checks, the texts may contain errors. Perhaps your experience with a particular work has been different? Perhaps the information is incomplete? Perhaps our research was flawed, leading us to a misleading conclusion? Whatever the case may be: immediately following the texts, you will find a link labeled &#8220;Report a correction in the text or an error in the data record.&#8221; Here, you can report anything you would like to have changed.     <\/p>\n\n<p class=\"wp-block-paragraph\">Text: (\u00a9) Helmut Schwaiger (AI)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>musicainfo.net uses artificial intelligence (AI) to efficiently generate analytical texts. Nearly 10,000 works have already been processed and analyzed. The AI does not handle the entire text-generation process; rather, it functions as an intelligent research and processing tool. First, the AI gathers relevant information from various sources, including composer biographies, publisher texts, and score analyses [&hellip;]<\/p>\n","protected":false},"author":512,"featured_media":12109,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","footnotes":""},"categories":[149,1717,1105,152,1102,1623],"tags":[],"class_list":["post-12102","post","type-post","status-publish","format-standard","has-post-thumbnail","category-behind-the-scenes","category-featured","category-highlight-selected","category-highlights-behind-the-scenes","category-selected","category-technology"],"uagb_featured_image_src":{"full":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki.png",1200,600,false],"thumbnail":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-150x150.png",150,150,true],"medium":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-300x150.png",300,150,true],"medium_large":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-768x384.png",696,348,true],"large":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-1024x512.png",696,348,true],"1536x1536":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki.png",1200,600,false],"2048x2048":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki.png",1200,600,false],"td_0x420":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-840x420.png",840,420,true],"td_80x60":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-80x60.png",80,60,true],"td_150x0":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-150x75.png",150,75,true],"td_218x150":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-218x150.png",218,150,true],"td_300x0":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-300x150.png",300,150,true],"td_324x400":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-324x400.png",324,400,true],"td_485x360":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-485x360.png",485,360,true],"td_696x0":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-696x348.png",696,348,true],"td_1068x0":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki-1068x534.png",1068,534,true],"td_1920x0":["https:\/\/musicainfo.blog\/wp-content\/uploads\/2026\/06\/musicainfo_ki.png",1200,600,false]},"uagb_author_info":{"display_name":"Helmut Schwaiger","author_link":"https:\/\/musicainfo.blog\/en\/author\/heli\/"},"uagb_comment_info":0,"uagb_excerpt":"musicainfo.net uses artificial intelligence (AI) to efficiently generate analytical texts. Nearly 10,000 works have already been processed and analyzed. The AI does not handle the entire text-generation process; rather, it functions as an intelligent research and processing tool. First, the AI gathers relevant information from various sources, including composer biographies, publisher texts, and score analyses&hellip;","_links":{"self":[{"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/posts\/12102","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/users\/512"}],"replies":[{"embeddable":true,"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/comments?post=12102"}],"version-history":[{"count":2,"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/posts\/12102\/revisions"}],"predecessor-version":[{"id":12111,"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/posts\/12102\/revisions\/12111"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/media\/12109"}],"wp:attachment":[{"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/media?parent=12102"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/categories?post=12102"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/musicainfo.blog\/en\/wp-json\/wp\/v2\/tags?post=12102"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}