{"id":2557,"date":"2026-08-06T16:10:56","date_gmt":"2026-08-06T16:10:56","guid":{"rendered":"https:\/\/thehive.ai\/blog\/?p=2557"},"modified":"2026-08-06T16:11:41","modified_gmt":"2026-08-06T16:11:41","slug":"introducing-celebrity-voice-detection-model","status":"publish","type":"post","link":"https:\/\/thehive.ai\/blog\/introducing-celebrity-voice-detection-model","title":{"rendered":"Introducing Celebrity Voice Detection Model"},"content":{"rendered":"\n<p>Voice is one of the most personal and recognizable parts of a public figure\u2019s identity, and generative AI has made it easier to capture and replicate. As generative tools become more accessible, platforms face a growing challenge: identifying when media uses, imitates, or is generated from a recognizable person\u2019s voice before it misleads audiences, violates consent, or creates reputational and safety risks. With voice, the harm can be immediate. A realistic clone can make it sound like a celebrity, politician, athlete, or other public figure said something they never actually said.<\/p>\n\n\n\n<p>That\u2019s why we\u2019re excited to launch <strong>Celebrity Voice Detection,<\/strong> a new AI model that is part of our broader IP &amp; Publicity Detection suite, built to help generative AI companies and digital platforms identify when audio includes or recreates the voice of a well-known public figure.<\/p>\n\n\n\n<p><strong>How content moves through Celebrity Voice Detection<\/strong><\/p>\n\n\n\n<p>Powered by our AI technology, Celebrity Voice Detection detects over 500 celebrities, politicians, and other well-known public figures. Comparing voices detected in content against our regularly updated celebrity index, Celebrity Voice Detection returns each identified match and associated confidence scores.<\/p>\n\n\n\n<p>Additionally, Celebrity Voice Detection returns an attribute category, which describes what type of famous figure the recognized individual is. The available categories are: film, music, media, politics, business, and sports. This granular metadata can be applied across audio generation and content review workflows, helping platforms review uploaded content and generated clips before they are published.<\/p>\n\n\n\n<p>Together, these capabilities provide platforms with stronger safeguards against potentially unauthorized celebrity voice replicas, while preserving space for policy-compliant AI voice creation.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"405\" src=\"https:\/\/staticblog.thehive.ai\/uploads\/2026\/08\/Celeb-Voice-Asset-1024x405.png\" alt=\"\" class=\"wp-image-2558\" srcset=\"https:\/\/staticblog.thehive.ai\/uploads\/2026\/08\/Celeb-Voice-Asset-1024x405.png 1024w, https:\/\/staticblog.thehive.ai\/uploads\/2026\/08\/Celeb-Voice-Asset-300x119.png 300w, https:\/\/staticblog.thehive.ai\/uploads\/2026\/08\/Celeb-Voice-Asset-768x304.png 768w, https:\/\/staticblog.thehive.ai\/uploads\/2026\/08\/Celeb-Voice-Asset-1536x608.png 1536w, https:\/\/staticblog.thehive.ai\/uploads\/2026\/08\/Celeb-Voice-Asset.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>AI-generated audio is spreading fast<\/strong><\/p>\n\n\n\n<p>While our industry-leading <a href=\"https:\/\/docs.thehive.ai\/docs\/ai-generated-audio-detection\">AI-Generated Audio Detection Model<\/a> determines whether audio was generated or manipulated by AI, platforms increasingly need to identify if audio contains the vocal likeness of public figures.&nbsp;<\/p>\n\n\n\n<p>Synthetic audio is making voice impersonation harder for platforms to ignore. When AI-generated voices replicate people like <a href=\"https:\/\/www.sfchronicle.com\/entertainment\/article\/morgan-freeman-artificial-intelligence-21194800.php\">Morgan Freeman<\/a>, <a href=\"https:\/\/www.forbes.com\/sites\/legalentertainment\/2026\/05\/08\/taylor-swift--matthew-mcconaughey-can-trademarks-combat-ai-misuse\/\">Matthew McConaughey<\/a>, <a href=\"https:\/\/www.npr.org\/2024\/05\/20\/1252495087\/openai-pulls-ai-voice-that-was-compared-to-scarlett-johansson-in-the-movie-her\">Scarlett Johansson<\/a>, or <a href=\"https:\/\/www.bbc.com\/news\/articles\/c5y0g79xevxo\">Martin Luther King Jr.<\/a>, the issue is no longer just whether the audio is real, but whether someone\u2019s actual voice or vocal likeness are being replicated without consent. Proposed legislation like the <a href=\"https:\/\/www.blackburn.senate.gov\/2026\/5\/technology\/blackburn-coons-salazar-dean-colleagues-introduce-revised-version-of-no-fakes-act\">NO FAKES Act<\/a>, which Hive has endorsed, reflects this broader shift toward protecting individuals from unauthorized AI-generated replicas.&nbsp;<\/p>\n\n\n\n<p>We have paid close attention to what companies need in this environment, which is why we created our Celebrity Voice Detection model. Paired with our AI-Generated Audio Detection Model, platforms can add a more targeted layer of review to AI voice generation. Not only can platforms detect whether a clip is synthetic, but teams can now prioritize higher-risk content that contains a public figure\u2019s voice.<\/p>\n\n\n\n<p><strong>Get started with Celebrity Voice Detection<\/strong><\/p>\n\n\n\n<p>To learn more about how Celebrity Voice Detection works, explore the <a href=\"https:\/\/docs.thehive.ai\/docs\/celebrity-voice-detection\">technical documentation.<\/a> If you\u2019d like to test the model, please reach out to sales@thehive.ai or contact our sales team and our team can share API keys and credentials for your new endpoints.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Voice is one of the most personal and recognizable parts of a public figure\u2019s identity, and generative AI has made it easier to capture and replicate. As generative tools become more accessible, platforms face a growing challenge: identifying when media uses, imitates, or is generated from a recognizable person\u2019s voice before it misleads audiences, violates [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":2559,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"kia_subtitle":""},"categories":[16,8,6,11,10],"tags":[],"_links":{"self":[{"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/posts\/2557"}],"collection":[{"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/comments?post=2557"}],"version-history":[{"count":4,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/posts\/2557\/revisions"}],"predecessor-version":[{"id":2575,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/posts\/2557\/revisions\/2575"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/media\/2559"}],"wp:attachment":[{"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/media?parent=2557"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/categories?post=2557"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/tags?post=2557"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}