{"id":26886,"date":"2026-11-09T06:55:37","date_gmt":"2026-11-09T06:55:37","guid":{"rendered":"https:\/\/interspacemusic.com\/blog\/la-atribucion-musical-de-ai-enfrenta-interrogantes-sobre-escala-derechos-y-pagos\/"},"modified":"2026-11-09T06:55:37","modified_gmt":"2026-11-09T06:55:37","slug":"la-atribucion-musical-de-ai-enfrenta-interrogantes-sobre-escala-derechos-y-pagos","status":"publish","type":"post","link":"https:\/\/interspacemusic.com\/blog\/es\/la-atribucion-musical-de-ai-enfrenta-interrogantes-sobre-escala-derechos-y-pagos\/","title":{"rendered":"La atribuci\u00f3n musical de AI enfrenta interrogantes sobre escala, derechos y pagos"},"content":{"rendered":"<p>La <strong>atribuci\u00f3n musical de AI<\/strong> busca identificar las grabaciones y composiciones que influyeron en una canci\u00f3n generada. Sus hallazgos podr\u00edan orientar las licencias y los pagos, pero identificar una influencia no establece permisos ni determina cu\u00e1nto se le debe a un creador.<\/p>\n<h2>Qu\u00e9 puede mostrar la atribuci\u00f3n<\/h2>\n<p>Varias herramientas relacionadas responden preguntas distintas. La huella digital de audio busca una coincidencia exacta o reconocible, la detecci\u00f3n de AI eval\u00faa si la m\u00fasica fue generada por AI y la procedencia registra el origen y los cambios de un archivo. La divulgaci\u00f3n de conjuntos de datos identifica el material de entrenamiento. La atribuci\u00f3n intenta estimar qu\u00e9 ejemplos influyeron en un resultado y en qu\u00e9 medida.<\/p>\n<p>La atribuci\u00f3n puede examinar el proceso de entrenamiento o una generaci\u00f3n espec\u00edfica. Un sistema podr\u00eda documentar una grabaci\u00f3n de referencia, una pista cargada o un modelo de artista con licencia proporcionado para un resultado espec\u00edfico. Rastrear la influencia del material de entrenamiento es m\u00e1s dif\u00edcil porque un modelo puede haber aprendido de cientos de miles o millones de ejemplos, y los m\u00e9todos pueden arrojar resultados distintos.<\/p>\n<p>Investigadores, entre ellos Choi y sus colegas, y Morreale y sus colegas, han propuesto m\u00e9todos para rastrear la influencia del entrenamiento. No existe un m\u00e9todo de la industria aceptado universalmente que produzca resultados consistentes entre distintos modelos.<\/p>\n<p><strong><a href=\"https:\/\/www.wmg.com\">Warner Music Group<\/a><\/strong> acord\u00f3 adquirir <strong>Sureel AI<\/strong> en 2026. Warner dijo que el registro de Sureel contiene millones de activos musicales y puede rastrear el uso de componentes de una obra en sistemas de AI. Ese seguimiento podr\u00eda aportar pruebas de uso, pero el permiso requiere una licencia, mientras que el pago depende de un contrato o de la ley.<\/p>\n<h2>Escala y contabilidad<\/h2>\n<p><strong><a href=\"https:\/\/about.meta.com\">Meta<\/a><\/strong> revel\u00f3 que su modelo de investigaci\u00f3n MusicGen fue entrenado con aproximadamente <strong>400,000 grabaciones<\/strong>, que representan unas <strong>20,000 horas<\/strong> de m\u00fasica propiedad de Meta o licenciada para el proyecto. Muchos servicios comerciales de AI no publican un registro completo del entrenamiento, la cantidad de versiones de modelos que han creado ni los totales de generaciones de sus usuarios.<\/p>\n<p>En abril de 2026, <strong>Deezer<\/strong> inform\u00f3 que recib\u00eda casi <strong>75,000 pistas generadas completamente por AI al d\u00eda<\/strong>, m\u00e1s de dos millones al mes y aproximadamente el 44 por ciento de sus cargas diarias. Dijo que esas pistas representaban solo del 1 al 3 por ciento de las reproducciones y que hasta el 85 por ciento de esas reproducciones eran fraudulentas. Las cifras corresponden a un servicio de streaming y excluyen las generaciones que permanecen dentro de plataformas de AI, se descartan, se revisan o se usan en privado.<\/p>\n<p>Cualquier propuesta de pago debe tener en cuenta tanto la cantidad de obras utilizadas en el entrenamiento como la cantidad de resultados que produce un modelo. Un porcentaje propuesto por s\u00ed solo no indica cu\u00e1nto recibir\u00eda un creador individual.<\/p>\n<h2>Derechos separados en una canci\u00f3n<\/h2>\n<p>Una canci\u00f3n grabada suele contener al menos dos obras protegidas por derechos de autor: la <a href=\"https:\/\/interspacemusic.com\/blog\/you-wrote-the-music-who-gets-the-value\/\">composici\u00f3n musical<\/a>, que abarca la m\u00fasica y la letra, y la grabaci\u00f3n sonora, que abarca la interpretaci\u00f3n grabada y la producci\u00f3n. La <strong><a href=\"https:\/\/www.copyright.gov\">U.S. Copyright Office<\/a><\/strong> las trata por separado, por lo que el permiso para una no cubre autom\u00e1ticamente la otra.<\/p>\n<p>Las grabaciones y composiciones pueden tener varios titulares de derechos, con porcentajes de propiedad que var\u00edan seg\u00fan el territorio o que pueden seguir en disputa o sin identificar. Un modelo tambi\u00e9n puede aprender de la fraseo de un cantante, el sonido de un instrumento, las decisiones de producci\u00f3n o el timbre de una grabaci\u00f3n. La voz, el nombre y la imagen pueden involucrar derechos ajenos a las licencias de composici\u00f3n y grabaci\u00f3n sonora.<\/p>\n","protected":false},"excerpt":{"rendered":"La atribuci\u00f3n musical de AI puede identificar influencias en canciones generadas, pero por s\u00ed sola no establece permisos, tasas de regal\u00edas ni pagos.","protected":false},"author":1,"featured_media":26877,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"csco_display_header_overlay":false,"csco_singular_sidebar":"","csco_page_header_type":"","csco_page_load_nextpost":"","csco_post_video_location":[],"csco_post_video_location_hash":"","csco_post_video_url":"","csco_post_video_bg_start_time":0,"csco_post_video_bg_end_time":0,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[6566],"tags":[],"class_list":["post-26886","post","type-post","status-publish","format-standard","has-post-thumbnail","category-industry-news-es","cs-entry","cs-video-wrap"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>La atribuci\u00f3n musical de AI enfrenta interrogantes sobre escala, derechos y pagos<\/title>\n<meta name=\"description\" content=\"La atribuci\u00f3n musical de AI busca identificar las grabaciones y composiciones que influyeron en una canci\u00f3n generada. 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