{"id":1156,"date":"2026-08-25T01:30:28","date_gmt":"2026-08-24T16:30:28","guid":{"rendered":"https:\/\/itexplore.org\/jp\/columns\/lg-nvidia-ai-robotics-inherent-ai-research-clearvoice-tts-app\/"},"modified":"2026-08-25T01:30:28","modified_gmt":"2026-08-24T16:30:28","slug":"lg-nvidia-ai-robotics-inherent-ai-research-clearvoice-tts-app","status":"publish","type":"post","link":"https:\/\/itexplore.org\/jp\/columns\/lg-nvidia-ai-robotics-inherent-ai-research-clearvoice-tts-app\/","title":{"rendered":"LG\u3068Nvidia\u306eAI\u30ed\u30dc\u30c3\u30c8\u3001DeepMind\u51fa\u8eab\u4f01\u696d\u306eAI\u7814\u7a76\u518d\u73fe\u3001ClearVoice TTS\u30a2\u30d7\u30ea"},"content":{"rendered":"<p>\u672c\u65e5\u306e\u6ce8\u76eeAI\u30fb\u30c6\u30c3\u30af\u30cb\u30e5\u30fc\u30b9\u3092\u3001\u5c02\u9580\u7684\u306a\u5206\u6790\u3068\u5171\u306b\u304a\u5c4a\u3051\u3057\u307e\u3059\u3002<\/p>\n<div class=\"wp-block-vk-blocks-alert vk_alert alert alert-warning has-alert-icon\">\n<div class=\"vk_alert_icon\">\n<div class=\"vk_alert_icon_icon\"><i class=\"fa-solid fa-triangle-exclamation\" aria-hidden=\"true\"><\/i><\/div>\n<div class=\"vk_alert_icon_text\"><span>Warning<\/span><\/div>\n<\/div>\n<div class=\"vk_alert_content\">\n<p>\u3053\u306e\u8a18\u4e8b\u306fAI\u306b\u3088\u3063\u3066\u81ea\u52d5\u751f\u6210\u30fb\u5206\u6790\u3055\u308c\u305f\u3082\u306e\u3067\u3059\u3002AI\u306e\u6027\u8cea\u4e0a\u3001\u4e8b\u5b9f\u8aa4\u8a8d\u304c\u542b\u307e\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u91cd\u8981\u306a\u5224\u65ad\u3092\u4e0b\u3059\u969b\u306f\u5fc5\u305a\u30ea\u30f3\u30af\u5148\u306e\u4e00\u6b21\u30bd\u30fc\u30b9\u3092\u3054\u78ba\u8a8d\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">LG\u3068Nvidia\u306e\u65b0\u305f\u306a\u8a08\u753b\uff1a\u6d17\u6fef\u6a5f\u304b\u3089\u59cb\u307e\u308a\u3001\u4eba\u578b\u30ed\u30dc\u30c3\u30c8\u3067\u7d42\u308f\u308b<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> LG and Nvidia's new plan starts with washing machines and ends with humanoid robots<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>LG<\/strong>\u3068<strong>Nvidia<\/strong>\u306f\u3001AI\u99c6\u52d5\u578b\u30ed\u30dc\u30c3\u30c8\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30a4\u30f3\u30d5\u30e9\u3001\u304a\u3088\u3073\u81ea\u52d5\u904b\u8ee2\u6280\u8853\u306e\u5171\u540c\u958b\u767a\u306b\u95a2\u3059\u308b\u899a\u66f8\u3092\u7de0\u7d50\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u63d0\u643a\u306f\u30012027\u5e74\u7b2c1\u56db\u534a\u671f\u306b\u767a\u8868\u3055\u308c\u308b\u4e88\u5b9a\u306e<strong>LG<\/strong>\u88fd\u4eba\u578b\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a\u3092\u8996\u91ce\u306b\u5165\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30ed\u30dc\u30c3\u30c8\u306f\u3001<strong>LG<\/strong>\u304c\u88fd\u9020\u3057\u3001<strong>Nvidia<\/strong>\u306e<strong>Isaac GR00T<\/strong>\u30e2\u30c7\u30eb\u3068<strong>Jetson Thor<\/strong>\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3092\u300c\u8133\u300d\u3068\u3057\u3066\u6d3b\u7528\u3057\u3001\u30ab\u30e1\u30e9\u3084\u30bb\u30f3\u30b5\u30fc\u304b\u3089\u306e\u60c5\u5831\u3092\u51e6\u7406\u3057\u3066\u7269\u7406\u7684\u306a\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n<p>\u4eba\u578b\u30ed\u30dc\u30c3\u30c8\u306e\u524d\u306b\u3001<strong>LG Electronics<\/strong>\u306e\u30c6\u30cd\u30b7\u30fc\u5dde\u306e\u6d17\u6fef\u6a5f\u5de5\u5834\u3067\u3001<strong>CLOiD<\/strong>\u3068\u3044\u3046\u8eca\u8f2a\u578b\u30ed\u30dc\u30c3\u30c8\u304c2026\u5e74\u672b\u307e\u3067\u306b\u5c0e\u5165\u3055\u308c\u3001\u5b9f\u969b\u306e\u7523\u696d\u74b0\u5883\u3067\u306e\u6027\u80fd\u30c7\u30fc\u30bf\u304c\u53ce\u96c6\u3055\u308c\u307e\u3059\u3002\u3053\u306e\u30c7\u30fc\u30bf\u306f\u3001\u3088\u308a\u8907\u96d1\u306a\u4eba\u578b\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a\u306b\u5f79\u7acb\u3066\u3089\u308c\u307e\u3059\u3002<\/p>\n<p>\u3055\u3089\u306b\u3001\u3053\u306e\u5408\u610f\u306b\u306f\u3001AI\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u5b9f\u884c\u306b\u7279\u5316\u3057\u305f2\u3064\u306e\u5927\u898f\u6a21\u306a\u300cAI\u5de5\u5834\u300d\u306e\u5efa\u8a2d\u3082\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002\u6700\u521d\u306e\u65bd\u8a2d\u306f2027\u5e74\u521d\u982d\u306b<strong>Nvidia<\/strong>\u306e<strong>Vera Rubin<\/strong>\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3092\u4f7f\u7528\u3057\u3066\u7a3c\u50cd\u3092\u958b\u59cb\u3057\u30012028\u5e74\u524d\u534a\u306b\u306f\u97d3\u56fd\u306e\u5929\u5b89\u306b80\u30e1\u30ac\u30ef\u30c3\u30c8\u306e\u3088\u308a\u5927\u898f\u6a21\u306a\u65bd\u8a2d\u304c\u5b8c\u6210\u3059\u308b\u4e88\u5b9a\u3067\u3059\u3002<\/p>\n<p>\u3053\u306e\u63d0\u643a\u306b\u3088\u308a\u3001<strong>LG<\/strong>\u306f<strong>Tesla<\/strong>\u306e<strong>Optimus<\/strong>\u3084<strong>Figure<\/strong>\u306a\u3069\u304c\u7af6\u5408\u3059\u308b\u4eba\u578b\u30ed\u30dc\u30c3\u30c8\u5e02\u5834\u306b\u53c2\u5165\u3057\u307e\u3059\u3002<strong>LG<\/strong>\u306f\u81ea\u793e\u306e\u5e83\u7bc4\u306a\u7523\u696d\u30a4\u30f3\u30d5\u30e9\u3092\u30ed\u30dc\u30c3\u30c8\u306e\u30c6\u30b9\u30c8\u30d9\u30c3\u30c9\u3068\u3057\u3066\u6d3b\u7528\u3057\u3001\u6700\u7d42\u7684\u306b\u306f\u5de5\u5834\u3001\u5bb6\u5ead\u3001\u305d\u306e\u4ed6\u306e\u7269\u7406\u7a7a\u9593\u306b\u7d71\u5408\u3067\u304d\u308b\u3001\u74b0\u5883\u3092\u7406\u89e3\u3057\u5b66\u7fd2\u3059\u308b\u30ed\u30dc\u30c3\u30c8\u306e\u69cb\u7bc9\u3092\u76ee\u6307\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/es.gizmodo.com\/el-nuevo-plan-de-lg-y-nvidia-empieza-con-lavadoras-y-termina-con-robots-humanoides-2000253168\" target=\"_blank\" rel=\"noopener\">Gizmodo en Espa\u00f1ol \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> LG and Nvidia are collaborating on AI-powered humanoid robots, starting with industrial applications, and building dedicated AI data centers, leveraging Nvidia's AI platforms and LG's manufacturing expertise.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Thomas Handley<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>LG<\/strong> and <strong>Nvidia<\/strong> have signed a memorandum of understanding to jointly develop AI-powered robots, computing infrastructure, and autonomous vehicle technologies. This partnership aims to culminate in an <strong>LG<\/strong>-manufactured humanoid robot, expected to be unveiled in the first quarter of 2027. The robot will be built by <strong>LG<\/strong> and powered by <strong>Nvidia's Isaac GR00T<\/strong> model and <strong>Jetson Thor<\/strong> platform, acting as its 'brain' to process information from cameras and sensors for physical tasks.<\/p>\n<p>Before the humanoid debut, wheeled robots named <strong>CLOiD<\/strong>, initially designed for domestic use, will be deployed in <strong>LG Electronics'<\/strong> washing machine factory in Tennessee by late 2026. This deployment will gather real-world performance data in an industrial setting, informing the development of more complex humanoid machines.<\/p>\n<p>The agreement also includes the construction of two large-scale 'AI factories' dedicated to training and executing AI models. The first facility is set to begin operations in early 2027 using <strong>Nvidia's Vera Rubin<\/strong> platform, followed by a significantly larger 80-megawatt installation in Cheonan, South Korea, slated for completion in the first half of 2028.<\/p>\n<p>With this move, <strong>LG<\/strong> enters the competitive humanoid robot market, joining companies like <strong>Tesla<\/strong> with its <strong>Optimus<\/strong>. <strong>LG<\/strong> plans to leverage its extensive industrial infrastructure as a testing ground for its robots, with the ultimate goal of creating robots that understand their environment, learn new tasks, and can be integrated into factories, homes, and other physical spaces.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">DeepMind\u51fa\u8eab\u8005\u304c\u8a2d\u7acb\u3057\u305fInherent\u3001AI\u300c\u30c1\u30fc\u30e0\u30e1\u30a4\u30c8\u300d\u304c\u7814\u7a76\u518d\u73fe\u3067Anthropic\u3068OpenAI\u3092\u51cc\u99d5\u3057\u305f\u3068\u767a\u8868<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Inherent, founded by DeepMind alumni, says its AI 'teammate' just outperformed Anthropic and OpenAI at replicating research<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>DeepMind<\/strong>\u306e\u5143\u30e1\u30f3\u30d0\u30fc\u306b\u3088\u3063\u3066\u8a2d\u7acb\u3055\u308c\u305f\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7<strong>Inherent<\/strong>\u306f\u3001\u540c\u793e\u306e<strong>AI\u300c\u30c1\u30fc\u30e0\u30e1\u30a4\u30c8\u300d<\/strong>\u304c\u3001\u7814\u7a76\u306e\u518d\u73fe\u6027\u306b\u304a\u3044\u3066<strong>Anthropic<\/strong>\u3084<strong>OpenAI<\/strong>\u306e\u30e2\u30c7\u30eb\u3092\u4e0a\u56de\u308b\u6027\u80fd\u3092\u793a\u3057\u305f\u3068\u767a\u8868\u3057\u307e\u3057\u305f\u3002\u3053\u306eAI\u306f\u3001\u8907\u96d1\u306a\u79d1\u5b66\u7684\u5b9f\u9a13\u3084\u7814\u7a76\u7d50\u679c\u3092\u72ec\u7acb\u3057\u3066\u691c\u8a3c\u3057\u3001\u518d\u73fe\u3059\u308b\u80fd\u529b\u306b\u7279\u5316\u3057\u3066\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u6210\u679c\u306f\u3001AI\u304c\u5358\u306a\u308b\u60c5\u5831\u751f\u6210\u3060\u3051\u3067\u306a\u304f\u3001\u79d1\u5b66\u7684\u30d7\u30ed\u30bb\u30b9\u306b\u304a\u3051\u308b\u4fe1\u983c\u6027\u3068\u691c\u8a3c\u53ef\u80fd\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b<strong>AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8<\/strong>\u3068\u3057\u3066\u306e\u5f79\u5272\u3092\u679c\u305f\u3059\u53ef\u80fd\u6027\u3092\u793a\u5506\u3057\u3066\u3044\u307e\u3059\u3002\u7814\u7a76\u306e\u518d\u73fe\u6027\u306f\u79d1\u5b66\u306e\u9032\u6b69\u306b\u304a\u3044\u3066\u6975\u3081\u3066\u91cd\u8981\u3067\u3042\u308a\u3001<strong>Inherent<\/strong>\u306e\u6280\u8853\u306f\u3001\u3053\u306e\u5206\u91ce\u306b\u5927\u304d\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p><strong>Inherent<\/strong>\u306eAI\u306f\u3001\u7814\u7a76\u8005\u304c\u3088\u308a\u52b9\u7387\u7684\u306b\u4f5c\u696d\u3092\u9032\u3081\u3001\u7d50\u679c\u306e\u4fe1\u983c\u6027\u3092\u9ad8\u3081\u308b\u305f\u3081\u306e\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3068\u306a\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002\u3053\u308c\u306f\u3001<strong>LLM<\/strong>\u3084<strong>AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8<\/strong>\u304c\u3001\u9ad8\u5ea6\u306a\u8a8d\u77e5\u30bf\u30b9\u30af\u3084\u79d1\u5b66\u7684\u691c\u8a3c\u30d7\u30ed\u30bb\u30b9\u306b\u304a\u3044\u3066\u3001\u4eba\u9593\u3092\u652f\u63f4\u3057\u3001\u3042\u308b\u3044\u306f\u51cc\u99d5\u3059\u308b\u80fd\u529b\u3092\u6301\u3064\u3053\u3068\u3092\u793a\u3059\u91cd\u8981\u306a\u4e00\u6b69\u3067\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/techcrunch.com\/2026\/08\/22\/inherent-founded-by-deepmind-alumni-says-its-ai-teammate-just-outperformed-anthropic-and-openai-at-replicating-research\/\" target=\"_blank\" rel=\"noopener\">TechCrunch \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Inherent's AI 'teammate,' developed by DeepMind alumni, has demonstrated superior performance in replicating scientific research compared to models from Anthropic and OpenAI, highlighting AI's growing role in scientific validation and reproducibility.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Anna Heim<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>Inherent<\/strong>, a startup founded by former <strong>DeepMind<\/strong> alumni, has announced that its <strong>AI 'teammate'<\/strong> has outperformed models from <strong>Anthropic<\/strong> and <strong>OpenAI<\/strong> in replicating research. This AI is specifically designed to independently verify and reproduce complex scientific experiments and research findings.<\/p>\n<p>This achievement suggests the potential for AI to move beyond mere information generation and serve as a crucial <strong>AI agent<\/strong> in enhancing the reliability and verifiability of scientific processes. Research reproducibility is paramount for scientific advancement, and <strong>Inherent's<\/strong> technology could significantly impact this field.<\/p>\n<p><strong>Inherent's<\/strong> AI is expected to become a powerful tool for researchers, enabling them to work more efficiently and increase the trustworthiness of their results. This marks an important step in demonstrating the capability of <strong>LLMs<\/strong> and <strong>AI agents<\/strong> to assist or even surpass human performance in advanced cognitive tasks and scientific validation processes.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">Show HN: ClearVoice TTS\u3001SOTA\u97f3\u58f0\u30af\u30ed\u30fc\u30f3\u30e2\u30c7\u30eb\u3092\u30aa\u30d5\u30e9\u30a4\u30f3\u3067\u5b9f\u884c\u3059\u308biOS\u30a2\u30d7\u30ea<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Show HN: ClearVoice TTS, SOTA voice cloning model running offline, in an iOS app<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>ClearVoice Text to Speech<\/strong>\u306f\u3001\u6700\u65b0\u306e<strong>OmniVoice<\/strong>\u30e2\u30c7\u30eb\u3092\u5229\u7528\u3057\u305fiOS\u30a2\u30d7\u30ea\u3067\u3001\u30c7\u30d0\u30a4\u30b9\u4e0a\u3067\u30c6\u30ad\u30b9\u30c8\u304b\u3089\u97f3\u58f0\u3092\u751f\u6210\u3059\u308b\u6a5f\u80fd\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3053\u306e\u30a2\u30d7\u30ea\u306e\u6700\u5927\u306e\u7279\u5fb4\u306f\u3001\u3059\u3079\u3066\u306e\u97f3\u58f0\u751f\u6210\u304c\u30aa\u30d5\u30e9\u30a4\u30f3\u3067\u884c\u308f\u308c\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u30c7\u30d0\u30a4\u30b9\u306b\u306e\u307f\u4fdd\u5b58\u3055\u308c\u308b\u305f\u3081\u3001\u30b5\u30a4\u30f3\u30a2\u30c3\u30d7\u3084\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u63a5\u7d9a\u304c\u4e0d\u8981\u3067\u3042\u308b\u70b9\u3067\u3059\u3002<\/p>\n<p>\u4e3b\u306a\u6a5f\u80fd\u306b\u306f\u3001\u81ea\u7136\u306a\u97f3\u58f0\u306e\u30c6\u30ad\u30b9\u30c8\u8aad\u307f\u4e0a\u3052\u3001\u308f\u305a\u304b10\u79d2\u306e\u97f3\u58f0\u3068\u30c8\u30e9\u30f3\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u97f3\u58f0\u3092\u30af\u30ed\u30fc\u30f3\u3059\u308b\u6a5f\u80fd\u3001250\u4ee5\u4e0a\u306e\u8a00\u8a9e\u3067\u306e\u97f3\u58f0\u751f\u6210\u3001\u304a\u3088\u3073\u751f\u6210\u3055\u308c\u305f\u97f3\u58f0\u306e\u7c21\u5358\u306a\u5171\u6709\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u30aa\u30fc\u30c7\u30a3\u30aa\u30d6\u30c3\u30af\u306e\u4f5c\u6210\u3001\u516c\u5171\u306e\u30a2\u30ca\u30a6\u30f3\u30b9\u3001\u8a9e\u5b66\u5b66\u7fd2\u306a\u3069\u306b\u6700\u9069\u3067\u3059\u3002<\/p>\n<p>\u958b\u767a\u8005\u3067\u3042\u308b<strong>Rory Clear<\/strong>\u306f\u3001\u30a2\u30d7\u30ea\u304c\u30e6\u30fc\u30b6\u30fc\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u306a\u3044\u3053\u3068\u3092\u660e\u8a18\u3057\u3066\u304a\u308a\u3001\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u306b\u914d\u616e\u3057\u305f\u8a2d\u8a08\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30a2\u30d7\u30ea\u306f\u3001\u6700\u5148\u7aef\u306e\u97f3\u58f0\u30af\u30ed\u30fc\u30f3\u6280\u8853\u3092\u30e2\u30d0\u30a4\u30eb\u30c7\u30d0\u30a4\u30b9\u4e0a\u3067\u624b\u8efd\u306b\u5229\u7528\u3067\u304d\u308b\u3001<strong>\u751f\u6210AI<\/strong>\u306e\u9032\u6b69\u3092\u793a\u3059\u597d\u4f8b\u3067\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/apps.apple.com\/ie\/app\/clearvoice-text-to-speech\/id6798899505\" target=\"_blank\" rel=\"noopener\">Apple App Store \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> ClearVoice TTS is an iOS app offering state-of-the-art, offline voice cloning and text-to-speech generation in over 250 languages, emphasizing user privacy by processing all data on-device.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Rory Clear<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>ClearVoice Text to Speech<\/strong> is an iOS app that leverages the latest <strong>OmniVoice<\/strong> model to generate speech from text directly on the device. A key feature of this app is that all voice generation occurs offline and is saved only to the user's device, eliminating the need for sign-up or an internet connection.<\/p>\n<p>Its main functionalities include generating natural language speech from text, the ability to clone a voice with just 10 seconds of audio and a transcript, generating audio in over 250 languages, and easy sharing of generated audio. This makes it ideal for creating audiobooks, public announcements, and language practice.<\/p>\n<p>The developer, <strong>Rory Clear<\/strong>, explicitly states that the app does not collect any user data, emphasizing its privacy-conscious design. This application serves as an excellent example of advancements in <strong>Generative AI<\/strong>, making state-of-the-art voice cloning technology readily accessible on mobile devices.<\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>LG\u3068Nvidia\u306e\u5354\u696d\u306b\u3088\u308bAI\u30ed\u30dc\u30c3\u30c8\u3068\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u3001DeepMind\u51fa\u8eab\u8005\u306b\u3088\u308bInherent\u306eAI\u7814\u7a76\u518d\u73fe\u3001\u30aa\u30d5\u30e9\u30a4\u30f3\u97f3\u58f0\u30af\u30ed\u30fc\u30f3\u30a2\u30d7\u30eaClearVoice TTS\u306e\u6700\u65b0\u52d5\u5411\u3092\u6df1\u6398\u308a\u3002<\/p>\n","protected":false},"author":1,"featured_media":855,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","_veu_custom_css":"","veu_display_promotion_alert":"","vkexunit_cta_each_option":"","_lightning_design_setting":[],"footnotes":""},"categories":[3],"tags":[8,17,573,44,312,322,15,574],"class_list":["post-1156","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-columns","tag-ai","tag-lg","tag-nvidia","tag-312","tag-322","tag-574"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/1156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/comments?post=1156"}],"version-history":[{"count":0,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/1156\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media\/855"}],"wp:attachment":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media?parent=1156"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/categories?post=1156"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/tags?post=1156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}