{"id":374,"date":"2024-01-27T11:44:25","date_gmt":"2024-01-27T02:44:25","guid":{"rendered":"http:\/\/192.168.0.139:8080\/2024\/01\/27\/whisperspeech%e3%82%92%e8%87%aa%e5%88%86%e3%81%aepc%e3%83%ad%e3%83%bc%e3%82%ab%e3%83%ab%e3%81%ab%e3%82%a4%e3%83%b3%e3%82%b9%e3%83%88%e3%83%bc%e3%83%ab\/"},"modified":"2024-01-27T11:44:25","modified_gmt":"2024-01-27T02:44:25","slug":"whisperspeech%e3%82%92%e8%87%aa%e5%88%86%e3%81%aepc%e3%83%ad%e3%83%bc%e3%82%ab%e3%83%ab%e3%81%ab%e3%82%a4%e3%83%b3%e3%82%b9%e3%83%88%e3%83%bc%e3%83%ab","status":"publish","type":"post","link":"http:\/\/192.168.0.139:8080\/2024\/01\/27\/374\/","title":{"rendered":"WhisperSpeech\u3092\u81ea\u5206\u306ePC(\u30ed\u30fc\u30ab\u30eb)\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb"},"content":{"rendered":"\n<p>\u300cWhisperSpeech\u300d\u3068\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u304b\u3089\u97f3\u58f0\u3092\u5408\u6210\u3059\u308b\u305f\u3081\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u30c6\u30ad\u30b9\u30c8\u30fb\u30c8\u30a5\u30fb\u30b9\u30d4\u30fc\u30c1\uff08TTS\uff09\u30b7\u30b9\u30c6\u30e0\u3067\u3059\u3002\u3053\u306e\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4eba\u306e\u58f0\u306b\u4f3c\u305f\u97f3\u58f0\u306b\u5909\u63db\u3059\u308b\u6280\u8853\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u4ee5\u4e0b\u306b\u3001WhisperSpeech\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">WhisperSpeech\u306e\u6982\u8981<\/h3>\n\n\n\n<ul>\n<li><strong>\u30c6\u30ad\u30b9\u30c8\u30fb\u30c8\u30a5\u30fb\u30b9\u30d4\u30fc\u30c1\uff08TTS\uff09\u30b7\u30b9\u30c6\u30e0\uff1a<\/strong> \u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u5408\u6210\u97f3\u58f0\u306b\u5909\u63db\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u66f8\u304b\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u3092\u97f3\u58f0\u3067\u805e\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li><strong>\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\uff1a<\/strong> \u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u304c\u516c\u958b\u3055\u308c\u3066\u304a\u308a\u3001\u8ab0\u3067\u3082\u5229\u7528\u3001\u6539\u826f\u3001\u914d\u5e03\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li><strong>\u591a\u8a00\u8a9e\u5bfe\u5fdc\uff1a<\/strong> \u8907\u6570\u306e\u8a00\u8a9e\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3068\u3044\u3046\u306e\u3082\u4eca\u5f8c\u3001\u5bfe\u5fdc\u3059\u308b\u4e88\u5b9a\u304c\u3042\u308b\u3068\u306e\u8da3\u65e8\u304c\u30fb\u30fb\u30fb\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u7570\u306a\u308b\u8a00\u8a9e\u306e\u30c6\u30ad\u30b9\u30c8\u3092\u97f3\u58f0\u306b\u5909\u63db\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/li>\n\n\n\n<li><strong>\u9ad8\u54c1\u8cea\u306a\u97f3\u58f0\u5408\u6210\uff1a<\/strong> \u4eba\u9593\u306e\u58f0\u306b\u8fd1\u3044\u81ea\u7136\u306a\u97f3\u58f0\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u4f8b<\/h3>\n\n\n\n<ul>\n<li><strong>\u30aa\u30fc\u30c7\u30a3\u30aa\u30d6\u30c3\u30af\u306e\u4f5c\u6210\uff1a<\/strong> \u66f8\u7c4d\u3084\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306e\u30c6\u30ad\u30b9\u30c8\u3092\u97f3\u58f0\u306b\u5909\u63db\u3057\u3001\u8996\u899a\u969c\u5bb3\u306e\u3042\u308b\u4eba\u3084\u8aad\u66f8\u304c\u96e3\u3057\u3044\u4eba\u306e\u305f\u3081\u306e\u30aa\u30fc\u30c7\u30a3\u30aa\u30d6\u30c3\u30af\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li><strong>\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u30c7\u30d0\u30a4\u30b9\uff1a<\/strong> \u97f3\u58f0\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3084\u5bfe\u8a71\u578b\u30b7\u30b9\u30c6\u30e0\u3067\u306e\u4f7f\u7528\u3002<\/li>\n\n\n\n<li><strong>\u8a00\u8a9e\u5b66\u7fd2\u652f\u63f4\uff1a<\/strong> \u8a00\u8a9e\u5b66\u7fd2\u8005\u304c\u30c6\u30ad\u30b9\u30c8\u306e\u6b63\u3057\u3044\u767a\u97f3\u3092\u805e\u304f\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u30d5\u30a1\u30a4\u30eb\u5185\u5bb9\u306e\u8aac\u660e<\/h3>\n\n\n\n<p>GitHub\u306b\u306f\u3001WhisperSpeech\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30b3\u30fc\u30c9\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3001\u304a\u3088\u3073\u95a2\u9023\u30ea\u30bd\u30fc\u30b9\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/collabora\/WhisperSpeech\">https:\/\/github.com\/collabora\/WhisperSpeech<\/a><\/p>\n\n\n\n<p>\u5177\u4f53\u7684\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5185\u5bb9\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3057\u3063\u304b\u308a\u3068\u898b\u3066\u3044\u306a\u3044\u305f\u3081\u3002<\/p>\n\n\n\n<ul>\n<li><strong>\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\uff1a<\/strong> Python\u3067\u66f8\u304b\u308c\u305fTTS\u30b7\u30b9\u30c6\u30e0\u306e\u5b9f\u88c5\u3002<\/li>\n\n\n\n<li><strong>\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\uff1a<\/strong> \u30b7\u30b9\u30c6\u30e0\u306e\u4f7f\u3044\u65b9\u3084\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u306b\u95a2\u3059\u308b\u6307\u793a\u3002<\/li>\n\n\n\n<li><strong>\u4f8b\u793a\u7528\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\uff1a<\/strong> \u5b9f\u969b\u306b\u30b7\u30b9\u30c6\u30e0\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3059Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3002<\/li>\n<\/ul>\n\n\n\n<p>WhisperSpeech\u306e\u8a73\u7d30\u306a\u5185\u5bb9\u3084\u4f7f\u3044\u65b9\u306b\u3064\u3044\u3066\u306f\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306eREADME\u30d5\u30a1\u30a4\u30eb\u3084\u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30b7\u30b9\u30c6\u30e0\u306e\u6a5f\u80fd\u3084\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u65b9\u6cd5\u306b\u3064\u3044\u3066\u3088\u308a\u8a73\u7d30\u306a\u7406\u89e3\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u305d\u308c\u3067\u306f\u5b9f\u969b\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u9032\u3081\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<br>\u81ea\u5206\u306eWindows\u30d1\u30bd\u30b3\u30f3\u306b\u306f\u306bCUDA 11.8\u3068Python 3.10\uff08python -V\u3067\u78ba\u8a8d\uff09\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u307e\u3059\u3002Python\u306e\u4eee\u60f3\u74b0\u5883\u3092\u4f5c\u6210\u3057\u3001\u305d\u306e\u4e2d\u306b\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3053\u3068\u3067\u3001PC\u306e\u30b7\u30b9\u30c6\u30e0\u74b0\u5883\u3092\u4fdd\u8b77\u3057\u306a\u304c\u3089\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/minokamo.xyz\/img\/blog\/2024\/01\/202401245.png\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u30db\u30b9\u30c8\u30b7\u30b9\u30c6\u30e0\u3068\u4eee\u60f3\u74b0\u5883\u5185\u3067\u4f7f\u7528\u3059\u308bCUDA\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u5408\u308f\u305b\u308b\u3053\u3068\u306f\u91cd\u8981\u3067\u3059\u3002\u7279\u306b\u3001CUDA\u3092\u5229\u7528\u3059\u308b\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3084\u30e9\u30a4\u30d6\u30e9\u30ea\uff08\u4f8b\u3048\u3070PyTorch\uff09\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u3001CUDA\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306e\u4e92\u63db\u6027\u304c\u975e\u5e38\u306b\u91cd\u8981\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u4e92\u63db\u6027\u306e\u91cd\u8981\u6027<\/h3>\n\n\n\n<ul>\n<li><strong>PyTorch\u3068CUDA\uff1a<\/strong> PyTorch\u306f\u7279\u5b9a\u306eCUDA\u30d0\u30fc\u30b8\u30e7\u30f3\u306b\u5bfe\u3057\u3066\u30d3\u30eb\u30c9\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001CUDA 11.8\u7528\u306ePyTorch\u306f\u3001\u30db\u30b9\u30c8\u30b7\u30b9\u30c6\u30e0\u306b\u3082CUDA 11.8\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n\n\n\n<li><strong>\u30c9\u30e9\u30a4\u30d0\u30fc\u3068\u306e\u4e92\u63db\u6027\uff1a<\/strong> CUDA\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306f\u3001\u4f7f\u7528\u3057\u3066\u3044\u308bGPU\u30c9\u30e9\u30a4\u30d0\u30fc\u3068\u3082\u4e92\u63db\u6027\u304c\u3042\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u30c9\u30e9\u30a4\u30d0\u30fc\u304c\u53e4\u3044\u5834\u5408\u3001\u65b0\u3057\u3044\u30d0\u30fc\u30b8\u30e7\u30f3\u306eCUDA\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u306a\u3044\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">CUDA\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u78ba\u8a8d<\/h3>\n\n\n\n<ul>\n<li><strong>\u30db\u30b9\u30c8\u30b7\u30b9\u30c6\u30e0\u306eCUDA\u30d0\u30fc\u30b8\u30e7\u30f3\uff1a<\/strong> \u30db\u30b9\u30c8\u30b7\u30b9\u30c6\u30e0\u3067 <code>nvcc --version<\/code> \u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u3067\u3001\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308bCUDA\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li><strong>PyTorch\u306eCUDA\u30d0\u30fc\u30b8\u30e7\u30f3\uff1a<\/strong> PyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u969b\u3001\u4e92\u63db\u6027\u306e\u3042\u308bCUDA\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u9078\u629e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002PyTorch\u306e\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8\u3067\u3001\u30b7\u30b9\u30c6\u30e0\u306b\u9069\u3057\u305f\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u9078\u629e\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u4eee\u60f3\u74b0\u5883\u306e\u8a2d\u5b9a<\/h3>\n\n\n\n<ul>\n<li><strong>\u4eee\u60f3\u74b0\u5883\u3067\u306eCUDA\uff1a<\/strong> \u4eee\u60f3\u74b0\u5883\u5185\u3067PyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u969b\u3001\u30db\u30b9\u30c8\u30b7\u30b9\u30c6\u30e0\u306eCUDA\u30d0\u30fc\u30b8\u30e7\u30f3\u306b\u5408\u3063\u305fPyTorch\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u9078\u3076\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p>CUDA\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u4e0d\u4e00\u81f4\u306f\u3001\u4e88\u671f\u3057\u306a\u3044\u30a8\u30e9\u30fc\u3084\u4e92\u63db\u6027\u306e\u554f\u984c\u3092\u5f15\u304d\u8d77\u3053\u3059\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u3053\u306e\u70b9\u306b\u6ce8\u610f\u3057\u307e\u3059\u3002\u3082\u3057PyTorch\u3084\u4ed6\u306eCUDA\u4f9d\u5b58\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3059\u308b\u969b\u306b\u554f\u984c\u304c\u767a\u751f\u3057\u305f\u5834\u5408\u306f\u3001\u30d0\u30fc\u30b8\u30e7\u30f3\u306e\u78ba\u8a8d\u3068\u4e00\u81f4\u3092\u6700\u521d\u306e\u30c8\u30e9\u30d6\u30eb\u30b7\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u30b9\u30c6\u30c3\u30d7\u3068\u3057\u3066\u884c\u3046\u3068\u826f\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u306f\u305d\u306e\u624b\u9806\u3067\u3059\u3002<\/p>\n\n\n\n<ol>\n<li><strong>Python\u306e\u4eee\u60f3\u74b0\u5883\u306e\u4f5c\u6210\uff1a<\/strong>\n<ul>\n<li>\u30b3\u30de\u30f3\u30c9\u30d7\u30ed\u30f3\u30d7\u30c8\u307e\u305f\u306fPowerShell\u3092\u958b\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u9069\u5207\u306a\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u79fb\u52d5\u3057\u307e\u3059\uff08\u4f8b\uff1a<code>cd \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30c7\u30a3\u30ec\u30af\u30c8\u30ea<\/code>\uff09\u3002<\/li>\n\n\n\n<li><code>python -m venv venv<\/code> \u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u4eee\u60f3\u74b0\u5883\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u3053\u3053\u3067 <code>venv<\/code> \u306f\u4eee\u60f3\u74b0\u5883\u306e\u540d\u524d\u3067\u3059\u304c\u3001\u4efb\u610f\u306e\u540d\u524d\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\uff08\u4f8b\uff1a<code>python -m venv <\/code>whisper\uff09\u3002<br><br>\u5b9f\u969b\u30f3\u30b3\u30de\u30f3\u30c9\uff08C\u30c9\u30e9\u30a4\u30d6\u76f4\u4e0b\u306b\u3042\u308b\u65e2\u5b58\u306eyoutube\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u79fb\u52d5\u3057\u3001\u305d\u3053\u306b\u65b0\u898f\u3067whisper\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u4f5c\u6210\u3002\u305d\u3057\u3066whisper\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u79fb\u52d5\u5f8c\u3001\u4eee\u60f3\u74b0\u5883\u3092\u4f5c\u6210\uff09\u3002<br>cd<br>cd youtube<br>mkdir whisper<br>cd whisper<br><code>python -m venv venv<\/code><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u4eee\u60f3\u74b0\u5883\u306e\u30a2\u30af\u30c6\u30a3\u30d9\u30fc\u30c8\uff1a<\/strong>\n<ul>\n<li>Windows\u306e\u5834\u5408\u3001\u4eee\u60f3\u74b0\u5883\u3092\u30a2\u30af\u30c6\u30a3\u30d9\u30fc\u30c8\u3059\u308b\u306b\u306f <code>venvScriptsactivate<\/code> \u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff1a<\/strong>\n<ul>\n<li>\u4eee\u60f3\u74b0\u5883\u5185\u3067 <code>pip install WhisperSpeech<\/code> \u306e\u3088\u3046\u306b\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002CUDA\u306b\u5bfe\u5fdc\u3057\u305fPyTorch\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u30da\u30fc\u30b8\u3067\u30b3\u30de\u30f3\u30c9\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<br><a href=\"https:\/\/pytorch.org\/\">https:\/\/pytorch.org\/<\/a><br>\u4eca\u306e\u74b0\u5883\u3060\u3068\u4e0b\u8a18\u306b\u306a\u308a\u307e\u3059\u3002PyTorch\u3092\u5148\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u307b\u3046\u304c\u3044\u3044\u3067\u3059\u3002<br>pip3 install torch torchvision torchaudio &#8211;index-url https:\/\/download.pytorch.org\/whl\/cu118<br><code>pip install WhisperSpeech<\/code><br><br><code>pip install WhisperSpeech<\/code> \u30b3\u30de\u30f3\u30c9\u304c\u5b58\u5728\u3059\u308b\u3068\u3044\u3046\u3053\u3068\u306f\u3001<code>WhisperSpeech<\/code> \u3068\u3044\u3046\u540d\u524d\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u304c Python Package Index (PyPI) \u306b\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u3068\u3044\u3046\u610f\u5473\u3067\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001<code>pip<\/code> \u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3053\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\u3002<br><\/li>\n\n\n\n<li>CUDA 11.8\u306b\u5bfe\u5fdc\u3057\u305fPyTorch\u3001TorchVision\u3001\u304a\u3088\u3073TorchAudio\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u305f\u3081\u306e\u3082\u306e\u3067\u3059\u3002\u3053\u306e\u30b3\u30de\u30f3\u30c9\u306f\u3001CUDA\u3092\u30b5\u30dd\u30fc\u30c8\u3059\u308bGPU\u3092\u6301\u3064\u30b7\u30b9\u30c6\u30e0\u7528\u306ePyTorch\u95a2\u9023\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u969b\u306b\u9069\u5207\u3067\u3059\u3002<\/li>\n\n\n\n<li><code>torch<\/code> \u306fPyTorch\u306e\u30e1\u30a4\u30f3\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/li>\n\n\n\n<li><code>torchvision<\/code> \u306f\u753b\u50cf\u51e6\u7406\u306b\u95a2\u9023\u3059\u308b\u6a5f\u80fd\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/li>\n\n\n\n<li><code>torchaudio<\/code> \u306f\u30aa\u30fc\u30c7\u30a3\u30aa\u51e6\u7406\u306b\u95a2\u9023\u3059\u308b\u6a5f\u80fd\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u4eee\u60f3\u74b0\u5883\u5185\u3067\u3053\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u3067\u3001CUDA\u306b\u5bfe\u5fdc\u3057\u305fPyTorch\u306e\u74b0\u5883\u3092\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u3067\u304d\u307e\u3059\u3002CUDA\u3092\u30b5\u30dd\u30fc\u30c8\u3059\u308bGPU\u3092\u642d\u8f09\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u3053\u308c\u3067WhisperSpeech\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u5b9f\u884c\u3059\u308b\u305f\u3081\u306e\u74b0\u5883\u304c\u6574\u3046\u306f\u305a\u3067\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u5b9f\u884c\uff1a<\/strong>\n<ul>\n<li>\u4eee\u60f3\u74b0\u5883\u5185\u3067\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30b3\u30fc\u30c9\u3084\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p>\u3053\u306e\u624b\u9806\u306b\u3088\u308a\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u5b9f\u884c\u74b0\u5883\u304cPC\u306e\u30e1\u30a4\u30f3\u30b7\u30b9\u30c6\u30e0\u304b\u3089\u5206\u96e2\u3055\u308c\u3001\u74b0\u5883\u306e\u6c5a\u67d3\u3092\u9632\u3050\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001\u4eee\u60f3\u74b0\u5883\u306f\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u7c21\u5358\u306b\u524a\u9664\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\u3001\u5f8c\u3067\u30af\u30ea\u30fc\u30f3\u30a2\u30c3\u30d7\u3059\u308b\u306e\u3082\u7c21\u5358\u3067\u3059\u3002<\/p>\n\n\n\n<ul>\n<li><code>WhisperSpeech<\/code> \u306e\u3088\u3046\u306a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306f\u3001PyPI\u306b\u767b\u9332\u3055\u308c\u3066\u3044\u308c\u3070\u3001<code>pip install<\/code> \u30b3\u30de\u30f3\u30c9\u3060\u3051\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306e\u30af\u30ed\u30fc\u30f3\u304c\u5fc5\u8981\u306a\u306e\u306f\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u76f4\u63a5\u8ca2\u732e\u3057\u305f\u3044\u5834\u5408\u3084\u3001<code>setup.py<\/code> \u3092\u4f7f\u3063\u305f\u30ab\u30b9\u30bf\u30e0\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u5fc5\u8981\u306a\u5834\u5408\u3067\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u4eee\u60f3\u74b0\u5883\u5185\u3067\u30e9\u30a4\u30d6\u30e9\u30ea\u3084CUDA\u306b\u5bfe\u5fdc\u3057\u305fPyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u3089\u3001\u30e1\u30e2\u5e33\u306a\u3069\u3067\u4ee5\u4e0b\u3092\u4ee5\u4e0b\u3092\u8a18\u8ff0\u3057\u307e\u3059\u3002\u3053\u308c\u3092\u300ctest.py\u300d\u3068\u3057\u3066\u3001\u30d5\u30a9\u30eb\u30c0whisper\u306b\u4fdd\u5b58\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from whisperspeech.pipeline import Pipeline\nimport torchaudio\n\n# Pipeline\u306e\u521d\u671f\u5316\npipe = Pipeline(s2a_ref='collabora\/whisperspeech:s2a-q4-tiny-en+pl.model')\n\n# \u30c6\u30ad\u30b9\u30c8\u3092\u97f3\u58f0\u306b\u5909\u63db\uff08\u3053\u3053\u3067\u6b63\u3057\u3044\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3059\u308b\uff09\n# \u4f8b\u3048\u3070 `generate` \u30e1\u30bd\u30c3\u30c9\u304c\u3042\u308b\u3068\u4eee\u5b9a\uff08\u5b9f\u969b\u306e\u30e1\u30bd\u30c3\u30c9\u540d\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\uff09\nresult = pipe.generate(\"\"\"\nThis is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer.\n\"\"\")\n\n# CUDA\u30c6\u30f3\u30bd\u30eb\u3092CPU\u306b\u79fb\u52d5\uff08GPU\u4e0a\u306e\u30c6\u30f3\u30bd\u30eb\u306e\u5834\u5408\uff09\nresult = result.cpu()\n\n# \u97f3\u58f0\u30c7\u30fc\u30bf\u3092WAV\u30d5\u30a1\u30a4\u30eb\u3068\u3057\u3066\u4fdd\u5b58\ntorchaudio.save('output.wav', result, sample_rate=22050)<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/minokamo.xyz\/img\/blog\/2024\/01\/202401241.png\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u3053\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u306f\u3001<code>whisperspeech<\/code> \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u30c6\u30ad\u30b9\u30c8\u304b\u3089\u97f3\u58f0\u3092\u5408\u6210\u3057\u3001\u305d\u306e\u7d50\u679c\u3092WAV\u30d5\u30a1\u30a4\u30eb\u3068\u3057\u3066\u4fdd\u5b58\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u306f\u4ee5\u4e0b\u306e\u30b9\u30c6\u30c3\u30d7\u3067\u69cb\u6210\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<ol>\n<li><code>Pipeline<\/code> \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u521d\u671f\u5316\u3002<\/li>\n\n\n\n<li><code>pipe.generate<\/code> \u30e1\u30bd\u30c3\u30c9\u3092\u7528\u3044\u3066\u30c6\u30ad\u30b9\u30c8\u304b\u3089\u97f3\u58f0\u30c7\u30fc\u30bf\uff08\u30c6\u30f3\u30bd\u30eb\uff09\u3092\u751f\u6210\u3002<\/li>\n\n\n\n<li>\u751f\u6210\u3055\u308c\u305f\u30c6\u30f3\u30bd\u30eb\u3092CPU\u306b\u79fb\u52d5\uff08GPU\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\uff09\u3002<\/li>\n\n\n\n<li><code>torchaudio.save<\/code> \u3092\u4f7f\u3063\u3066\u97f3\u58f0\u30c7\u30fc\u30bf\u3092WAV\u30d5\u30a1\u30a4\u30eb\u3068\u3057\u3066\u4fdd\u5b58\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u4eee\u60f3\u74b0\u5883\u3067\u3053\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>python test.py<\/code><\/pre>\n\n\n\n<p>\u3057\u304b\u3057\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>(venv) C:youtubewhisper&gt;python test.py<br>C:youtubewhispervenvlibsite-packagestorchnnutilsweight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.<br>warnings.warn(&#8220;torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.&#8221;)<br>Traceback (most recent call last):\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 100.00% [752\/752 00:07&lt;00:00] File &#8220;C:youtubewhispertest.py&#8221;, line 17, in<br>torchaudio.save(&#8216;output.wav&#8217;, result, sample_rate=22050)<br>File &#8220;C:youtubewhispervenvlibsite-packagestorchaudio_backendutils.py&#8221;, line 311, in save<br>backend = dispatcher(uri, format, backend)<br>File &#8220;C:youtubewhispervenvlibsite-packagestorchaudio_backendutils.py&#8221;, line 221, in dispatcher<br>raise RuntimeError(f&#8221;Couldn&#8217;t find appropriate backend to handle uri {uri} and format {format}.&#8221;)<br>RuntimeError: Couldn&#8217;t find appropriate backend to handle uri output.wav and format None.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/minokamo.xyz\/img\/blog\/2024\/01\/202401242.png\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u30a8\u30e9\u30fc\u306b\u5bfe\u51e6\u3057\u307e\u3059\u3002<br>\u30a8\u30e9\u30fc <code>RuntimeError: Couldn't find appropriate backend to handle uri output.wav and format None.<\/code> \u306f\u3001<code>torchaudio.save<\/code> \u95a2\u6570\u304c <code>output.wav<\/code> \u30d5\u30a1\u30a4\u30eb\u3092\u4fdd\u5b58\u3059\u308b\u306e\u306b\u9069\u5207\u306a\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u3092\u898b\u3064\u3051\u3089\u308c\u306a\u304b\u3063\u305f\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306f\u901a\u5e38\u3001\u5fc5\u8981\u306a\u30aa\u30fc\u30c7\u30a3\u30aa\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u307e\u305f\u306f\u69cb\u6210\u3055\u308c\u3066\u3044\u306a\u3044\u5834\u5408\u306b\u767a\u751f\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u3053\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u624b\u9806\u3092\u8a66\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<ol>\n<li><strong>\u5fc5\u8981\u306a\u4f9d\u5b58\u95a2\u4fc2\u306e\u78ba\u8a8d\uff1a<\/strong>\n<ul>\n<li><code>torchaudio<\/code> \u304c\u5fc5\u8981\u3068\u3059\u308b\u4f9d\u5b58\u95a2\u4fc2\u304c\u9069\u5207\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308b\u304b\u78ba\u8a8d\u3057\u307e\u3059\u3002\u7279\u306b\u3001<code>soundfile<\/code> \u3084 <code>sox<\/code> \u306a\u3069\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u5fc5\u8981\u306b\u306a\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u3053\u308c\u3089\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u3001<code>pip install soundfile sox<\/code> \u306e\u3088\u3046\u306a\u30b3\u30de\u30f3\u30c9\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u7570\u306a\u308b\u30d5\u30a1\u30a4\u30eb\u5f62\u5f0f\u306e\u8a66\u884c\uff1a<\/strong>\n<ul>\n<li><code>torchaudio.save<\/code> \u95a2\u6570\u3067\u7570\u306a\u308b\u30d5\u30a1\u30a4\u30eb\u5f62\u5f0f\uff08\u4f8b\uff1a<code>output.mp3<\/code>\uff09\u3092\u8a66\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>PyTorch\u3068TorchAudio\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u78ba\u8a8d\uff1a<\/strong>\n<ul>\n<li>\u4f7f\u7528\u3057\u3066\u3044\u308bPyTorch\u3068TorchAudio\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u304c\u4e92\u63db\u6027\u304c\u3042\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u4e0d\u4e00\u81f4\u304c\u3042\u308b\u5834\u5408\u306f\u3001\u4e92\u63db\u6027\u306e\u3042\u308b\u30d0\u30fc\u30b8\u30e7\u30f3\u306b\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u306e\u660e\u793a\u7684\u306a\u6307\u5b9a\uff1a<\/strong>\n<ul>\n<li><code>torchaudio<\/code> \u306e\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u3092\u660e\u793a\u7684\u306b\u6307\u5b9a\u3059\u308b\u3053\u3068\u3067\u3001\u3053\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3067\u304d\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001<code>torchaudio.set_audio_backend('soundfile')<\/code> \u306e\u3088\u3046\u306b\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p><code>pip install soundfile sox<\/code>\u306b\u3066\u89e3\u6c7a\u3067\u304d\u307e\u3057\u305f\u3002\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u5f8c\u306b\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u5b9f\u884c\u3059\u308b\u3068\u97f3\u58f0\u30d5\u30a1\u30a4\u30eb\u304c\u4f5c\u6210\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/minokamo.xyz\/img\/blog\/2024\/01\/202401243.png\" alt=\"\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/minokamo.xyz\/img\/blog\/2024\/01\/202401244.png\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u6b21\u306b\u97f3\u58f0\u30af\u30ed\u30fc\u30cb\u30f3\u30b0\u3092\u8a66\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n\n\n\n<p>Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4f7f\u7528\u3059\u308b\u306e\u3067\u3059\u304c\u3001\u3053\u308c\u306f\u7279\u306b\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30c7\u30fc\u30bf\u5206\u6790\u3084\u6a5f\u68b0\u5b66\u7fd2\u3001\u305d\u3057\u3066\u4eca\u56de\u306e\u3088\u3046\u306a\u97f3\u58f0\u51e6\u7406\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u304a\u3044\u3066\u975e\u5e38\u306b\u826f\u3044\u9078\u629e\u3067\u3059\u3002Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306fPython\u30b3\u30fc\u30c9\u306e\u5b9f\u884c\u3001\u7d50\u679c\u306e\u53ef\u8996\u5316\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u4f5c\u6210\u3092\u4e00\u7b87\u6240\u3067\u884c\u3048\u308b\u305f\u3081\u3001\u591a\u304f\u306e\u79d1\u5b66\u8a08\u7b97\u3084\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u597d\u3093\u3067\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u30b8\u30e5\u30d4\u30bf\u30fc\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u7279\u5fb4<\/h3>\n\n\n\n<ol>\n<li><strong>\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\uff1a<\/strong>\n<ul>\n<li>\u30bb\u30eb\u5358\u4f4d\u3067\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3001\u7d50\u679c\u3092\u5373\u5ea7\u306b\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u5b9f\u9a13\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3092\u6bb5\u968e\u7684\u306b\u9032\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u30ea\u30c3\u30c1\u30c6\u30ad\u30b9\u30c8\u30b5\u30dd\u30fc\u30c8\uff1a<\/strong>\n<ul>\n<li>\u30de\u30fc\u30af\u30c0\u30a6\u30f3\u3084HTML\u3092\u4f7f\u7528\u3057\u3066\u3001\u8aac\u660e\u6587\u3001\u6570\u5f0f\u3001\u753b\u50cf\u306a\u3069\u3092\u542b\u3081\u305f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u30c7\u30fc\u30bf\u306e\u8996\u899a\u5316\uff1a<\/strong>\n<ul>\n<li>\u30c7\u30fc\u30bf\u306e\u56f3\u8868\u5316\u3084\u30b0\u30e9\u30d5\u306e\u63cf\u753b\u3092\u7c21\u5358\u306b\u884c\u3048\u307e\u3059\u3002Matplotlib\u3001Seaborn\u3001Plotly\u306a\u3069\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u7d44\u307f\u5408\u308f\u305b\u3066\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u591a\u8a00\u8a9e\u30b5\u30dd\u30fc\u30c8\uff1a<\/strong>\n<ul>\n<li>Python\u4ee5\u5916\u306b\u3082\u3001R\u3001Julia\u3001Scala\u306a\u3069\u8907\u6570\u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5171\u6709\u3068\u518d\u73fe\u6027\uff1a<\/strong>\n<ul>\n<li>\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f\u3001\u30b3\u30fc\u30c9\u3001\u30c7\u30fc\u30bf\u3001\u56f3\u8868\u3001\u8aac\u660e\u6587\u304c\u4e00\u4f53\u5316\u3055\u308c\u305f\u5f62\u5f0f\u3067\u4fdd\u5b58\u3055\u308c\u308b\u305f\u3081\u3001\u7d50\u679c\u306e\u5171\u6709\u3084\u518d\u73fe\u304c\u5bb9\u6613\u3067\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">\u7528\u9014<\/h3>\n\n\n\n<ul>\n<li><strong>\u6559\u80b2\uff1a<\/strong> \u5b66\u7fd2\u6559\u6750\u306e\u4f5c\u6210\u3001\u6388\u696d\u3084\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u3067\u306e\u4f7f\u7528\u306b\u9069\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n\n\n\n<li><strong>\u30c7\u30fc\u30bf\u5206\u6790\uff1a<\/strong> \u30c7\u30fc\u30bf\u306e\u63a2\u7d22\u7684\u5206\u6790\u3001\u524d\u51e6\u7406\u3001\u8996\u899a\u5316\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/li>\n\n\n\n<li><strong>\u7814\u7a76\uff1a<\/strong> \u7814\u7a76\u7d50\u679c\u306e\u8a18\u9332\u3001\u8ad6\u6587\u3078\u306e\u56f3\u8868\u751f\u6210\u3001\u5206\u6790\u904e\u7a0b\u306e\u5171\u6709\u306b\u6709\u7528\u3067\u3059\u3002<\/li>\n\n\n\n<li><strong>\u6a5f\u68b0\u5b66\u7fd2\uff1a<\/strong> \u30e2\u30c7\u30eb\u306e\u30d7\u30ed\u30c8\u30bf\u30a4\u30d4\u30f3\u30b0\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3001\u7d50\u679c\u306e\u8996\u899a\u5316\u306b\u6d3b\u7528\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u30b8\u30e5\u30d4\u30bf\u30fc\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f\u3001\u305d\u306e\u67d4\u8edf\u6027\u3068\u6a5f\u80fd\u6027\u304b\u3089\u3001\u591a\u304f\u306e\u79d1\u5b66\u8005\u3001\u7814\u7a76\u8005\u3001\u30c7\u30fc\u30bf\u30a2\u30ca\u30ea\u30b9\u30c8\u3001\u6559\u80b2\u8005\u306b\u3068\u3063\u3066\u8cb4\u91cd\u306a\u30c4\u30fc\u30eb\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f\u4eee\u60f3\u74b0\u5883\u5185\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>pip install notebook<\/code><\/pre>\n\n\n\n<p><strong>Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u8d77\u52d5\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u5f8c\u3001<code>jupyter notebook<\/code> \u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u8d77\u52d5\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u30d6\u30e9\u30a6\u30b6\u304c\u958b\u304d\u3001\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/minokamo.xyz\/img\/blog\/2024\/01\/202401247.png\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3067\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u5b9f\u884c\u65b9\u6cd5<\/h3>\n\n\n\n<ol>\n<li><strong>\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4f5c\u6210\u307e\u305f\u306f\u958b\u304f\uff1a<\/strong>\n<ul>\n<li>Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u3067\u300cNew\u300d\uff08\u65b0\u898f\uff09\u3092\u30af\u30ea\u30c3\u30af\u3057\u3001\u65b0\u3057\u3044\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4f5c\u6210\u3059\u308b\u304b\u3001\u65e2\u5b58\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u958b\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u30b3\u30fc\u30c9\u306e\u8a18\u8ff0\uff1a<\/strong>\n<ul>\n<li>\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u5185\u306e\u30bb\u30eb\u306bPython\u30b3\u30fc\u30c9\u3092\u8a18\u8ff0\u3057\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001WhisperSpeech\u306e\u97f3\u58f0\u5408\u6210\u306e\u30b3\u30fc\u30c9\u3092\u30bb\u30eb\u306b\u5165\u529b\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u30b3\u30fc\u30c9\u306e\u5b9f\u884c\uff1a<\/strong>\n<ul>\n<li>\u30b3\u30fc\u30c9\u3092\u542b\u3080\u30bb\u30eb\u3092\u9078\u629e\u3057\u3001\u30c4\u30fc\u30eb\u30d0\u30fc\u306e\u300cRun\u300d\u30dc\u30bf\u30f3\u3092\u30af\u30ea\u30c3\u30af\u3059\u308b\u304b\u3001\u30ad\u30fc\u30dc\u30fc\u30c9\u30b7\u30e7\u30fc\u30c8\u30ab\u30c3\u30c8\uff08\u901a\u5e38\u306fShift + Enter\uff09\u3092\u4f7f\u7528\u3057\u3066\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u7d50\u679c\u306e\u78ba\u8a8d\uff1a<\/strong>\n<ul>\n<li>\u30b3\u30fc\u30c9\u306e\u5b9f\u884c\u7d50\u679c\u306f\u3001\u76f4\u63a5\u305d\u306e\u30bb\u30eb\u306e\u4e0b\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002\u3053\u308c\u306b\u306f\u30c6\u30ad\u30b9\u30c8\u51fa\u529b\u3001\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30b9\u3001\u97f3\u58f0\u30d5\u30a1\u30a4\u30eb\u306e\u518d\u751f\u306a\u3069\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306e\u4fdd\u5b58\uff1a<\/strong>\n<ul>\n<li>\u4f5c\u696d\u304c\u7d42\u308f\u3063\u305f\u3089\u3001\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4fdd\u5b58\u3057\u307e\u3059\u3002\u30c4\u30fc\u30eb\u30d0\u30fc\u306e\u300cSave\u300d\u30dc\u30bf\u30f3\u3092\u4f7f\u7528\u3057\u3066\u4fdd\u5b58\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p>\u307e\u305a\u306f\u624b\u59cb\u3081\u306b\u3001GPU\u4f7f\u7528\u306e\u78ba\u8a8d\u3092Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3067\u884c\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<ul>\n<li>PyTorch\u3067GPU\u304c\u5229\u7528\u53ef\u80fd\u304b\u3069\u3046\u304b\u3092\u78ba\u8a8d\u3059\u308b\u305f\u3081\u306b\u3001Python\u30b7\u30a7\u30eb\u307e\u305f\u306fJupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3067\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<br><br><code>import torch<\/code><br><br><code>print(torch.cuda.is_available())<\/code>\n<ul>\n<li>\u3053\u306e\u30b3\u30de\u30f3\u30c9\u304c <code>True<\/code> \u3092\u8fd4\u305b\u3070\u3001PyTorch\u306fGPU\u3092\u4f7f\u7528\u3067\u304d\u308b\u72b6\u614b\u3067\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u4f7f\u7528\u53ef\u80fd\u306aGPU\u306e\u8a73\u7d30\u3092\u78ba\u8a8d\u3059\u308b\u306b\u306f<br><br><code>import torch<\/code><br><br><code>print(torch.cuda.get_device_name(0))<\/code><\/li>\n<\/ul>\n\n\n\n<p>\u3053\u308c\u3089\u306e\u30b9\u30c6\u30c3\u30d7\u306b\u5f93\u3063\u3066\u3001PyTorch\u304c\u30db\u30b9\u30c8\u306eGPU\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u304b\u3069\u3046\u304b\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u97f3\u58f0\u30af\u30ed\u30fc\u30cb\u30f3\u30b0\u3067\u306f\u3001\u4ee5\u4e0b\u304c\u30b3\u30fc\u30c9\u306e\u4f8b\u3067\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from whisperspeech.pipeline import Pipeline\npipe = Pipeline()\npipe.generate_to_notebook(\"\"\"\nThis is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer.\n\"\"\", lang='en', speaker='https:\/\/upload.wikimedia.org\/wikipedia\/commons\/7\/75\/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg')<\/code><\/pre>\n\n\n\n<p>\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u306f\u3001<code>WhisperSpeech<\/code> \u30e9\u30a4\u30d6\u30e9\u30ea\u306e <code>Pipeline<\/code> \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u4f7f\u7528\u3057\u3066\u3001\u6307\u5b9a\u3055\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u3092\u97f3\u58f0\u306b\u5909\u63db\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u3067\u306f\u3001<code>lang='en'<\/code> \u3067\u82f1\u8a9e\u306e\u97f3\u58f0\u30e2\u30c7\u30eb\u304c\u4f7f\u7528\u3055\u308c\u3001<code>speaker='path\/to\/downloaded\/file.ogg'<\/code> \u3067\u6307\u5b9a\u3055\u308c\u305f\u53c2\u7167\u97f3\u58f0\uff08\u30ed\u30fc\u30ab\u30eb\u30d5\u30a1\u30a4\u30eb\uff09\u306b\u57fa\u3065\u3044\u3066\u97f3\u58f0\u304c\u751f\u6210\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u30d6\u30e9\u30a6\u30b6\u306b\u3066\u3001\u30b3\u30fc\u30c9\u3092\u4fdd\u5b58\u3057\u3066\u5b9f\u884c\u3059\u308b\u3068\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>C:youtubewhispervenvlibsite-packagestqdmauto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See <a href=\"https:\/\/ipywidgets.readthedocs.io\/en\/stable\/user_install.html\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/ipywidgets.readthedocs.io\/en\/stable\/user_install.html<\/a> from .autonotebook import tqdm as notebook_tqdm C:youtubewhispervenvlibsite-packagesfastprogressfastprogress.py:107: UserWarning: Couldn&#8217;t import ipywidgets properly, progress bar will use console behavior warn(&#8220;Couldn&#8217;t import ipywidgets properly, progress bar will use console behavior&#8221;) C:youtubewhispervenvlibsite-packagestorchnnutilsweight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm. warnings.warn(&#8220;torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.&#8221;) The torchaudio backend is switched to &#8216;soundfile&#8217;. Note that &#8216;sox_io&#8217; is not supported on Windows. C:youtubewhispervenvlibsite-packagesspeechbrainutilstorch_audio_backend.py:22: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend(&#8220;soundfile&#8221;) The torchaudio backend is switched to &#8216;soundfile&#8217;. Note that &#8216;sox_io&#8217; is not supported on Windows. C:youtubewhispervenvlibsite-packagesspeechbrainutilstorch_audio_backend.py:22: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend(&#8220;soundfile&#8221;)<br><strong>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;OSError<\/strong> Traceback (most recent call last) Cell <strong>In[3], line 3<\/strong> 1 <strong>fromwhisperspeech.pipelineimport<\/strong> Pipeline 2 pipe = Pipeline() <strong>&#8212;-&gt; 3<\/strong> pipe.generate_to_notebook(&#8220;&#8221;&#8221; 4 This is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer. 5 &#8220;&#8221;&#8221;, lang=&#8217;en&#8217;, speaker=&#8217;<a href=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/7\/75\/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/upload.wikimedia.org\/wikipedia\/commons\/7\/75\/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg<\/a>&#8216;) File <strong>C:youtubewhispervenvlibsite-packageswhisperspeechpipeline.py:93<\/strong>, in Pipeline.generate_to_notebook<strong>(self, text, speaker, lang, cps, step_callback)<\/strong> 92 <strong>def<\/strong> generate_to_notebook(self, text, speaker=<strong>None<\/strong>, lang=&#8217;en&#8217;, cps=15, step_callback=<strong>None<\/strong>): <strong>&#8212;&gt; 93<\/strong> self.vocoder.decode_to_notebook(self.generate_atoks(text, speaker, lang=lang, cps=cps, step_callback=<strong>None<\/strong>)) File <strong>C:youtubewhispervenvlibsite-packageswhisperspeechpipeline.py:80<\/strong>, in Pipeline.generate_atoks<strong>(self, text, speaker, lang, cps, step_callback)<\/strong> 78 <strong>def<\/strong> generate_atoks(self, text, speaker=<strong>None<\/strong>, lang=&#8217;en&#8217;, cps=15, step_callback=<strong>None<\/strong>): 79 <strong>if<\/strong> speaker <strong>isNone<\/strong>: speaker = self.default_speaker <strong>&#8212;&gt; 80elif<\/strong> isinstance(speaker, (str, Path)): speaker = self.extract_spk_emb(speaker) 81 text = text.replace(&#8220;<strong>n<\/strong>&#8220;, &#8221; &#8220;) 82 stoks = self.t2s.generate(text, cps=cps, lang=lang, step=step_callback) File <strong>C:youtubewhispervenvlibsite-packageswhisperspeechpipeline.py:70<\/strong>, in Pipeline.extract_spk_emb<strong>(self, fname)<\/strong> 68 <strong>if<\/strong> self.encoder <strong>isNone<\/strong>: 69 <strong>fromspeechbrain.pretrainedimport<\/strong> EncoderClassifier <strong>&#8212;&gt; 70<\/strong> self.encoder = EncoderClassifier.from_hparams(&#8220;speechbrain\/spkrec-ecapa-voxceleb&#8221;, 71 savedir=&#8221;~\/.cache\/speechbrain\/&#8221;, 72 run_opts={&#8220;device&#8221;: &#8220;cuda&#8221;}) 73 samples, sr = torchaudio.load(fname) 74 samples = self.encoder.audio_normalizer(samples[0,:30*sr], sr) File <strong>C:youtubewhispervenvlibsite-packagesspeechbrainpretrainedinterfaces.py:467<\/strong>, in Pretrained.from_hparams<strong>(cls, source, hparams_file, pymodule_file, overrides, savedir, use_auth_token, revision, download_only, **kwargs)<\/strong> 465 clsname = cls.__name__ 466 savedir = f&#8221;.\/pretrained_models\/<strong>{<\/strong>clsname<strong>}<\/strong>&#8211;<strong>{<\/strong>hashlib.md5(source.encode(&#8216;UTF-8&#8242;, errors=&#8217;replace&#8217;)).hexdigest()<strong>}<\/strong>&#8221; <strong>&#8211;&gt; 467<\/strong> hparams_local_path = fetch( 468 filename=hparams_file, 469 source=source, 470 savedir=savedir, 471 overwrite=<strong>False<\/strong>, 472 save_filename=<strong>None<\/strong>, 473 use_auth_token=use_auth_token, 474 revision=revision, 475 ) 476 <strong>try<\/strong>: 477 pymodule_local_path = fetch( 478 filename=pymodule_file, 479 source=source, <strong>(&#8230;)<\/strong> 484 revision=revision, 485 ) File <strong>C:youtubewhispervenvlibsite-packagesspeechbrainpretrainedfetching.py:181<\/strong>, in fetch<strong>(filename, source, savedir, overwrite, save_filename, use_auth_token, revision, cache_dir, silent_local_fetch)<\/strong> 179 sourcepath = pathlib.Path(fetched_file).absolute() 180 _missing_ok_unlink(destination) <strong>&#8211;&gt; 181<\/strong> destination.symlink_to(sourcepath) 182 <strong>return<\/strong> destination File <strong>~AppDataLocalProgramsPythonPython310libpathlib.py:1255<\/strong>, in Path.symlink_to<strong>(self, target, target_is_directory)<\/strong> 1250 <strong>def<\/strong> symlink_to(self, target, target_is_directory=<strong>False<\/strong>): 1251 &#8220;&#8221;&#8221; 1252 Make this path a symlink pointing to the target path. 1253 Note the order of arguments (link, target) is the reverse of os.symlink. 1254 &#8220;&#8221;&#8221; <strong>-&gt; 1255<\/strong> self._accessor.symlink(target, self, target_is_directory) <strong>OSError<\/strong>: [WinError 1314] \u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306f\u8981\u6c42\u3055\u308c\u305f\u7279\u6a29\u3092\u4fdd\u6709\u3057\u3066\u3044\u307e\u305b\u3093\u3002: &#8216;C:\\Users\\minok\\.cache\\huggingface\\hub\\models&#8211;speechbrain&#8211;spkrec-ecapa-voxceleb\\snapshots\\5c0be3875fda05e81f3c004ed8c7c06be308de1e\\hyperparams.yaml&#8217; -&gt; &#8216;~\\.cache\\speechbrain\\hyperparams.yaml&#8217;<\/p>\n\n\n\n<p>\u539f\u56e0\u306e\u8abf\u67fb\u3002<br>\u8868\u793a\u3055\u308c\u3066\u3044\u308b <code>OSError: [WinError 1314]<\/code> \u306f\u3001Windows\u3067\u30b7\u30f3\u30dc\u30ea\u30c3\u30af\u30ea\u30f3\u30af\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u7279\u6a29\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30a8\u30e9\u30fc\u306f\u3001<code>speechbrain<\/code> \u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u5fc5\u8981\u306a\u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3001\u30ad\u30e3\u30c3\u30b7\u30e5\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u30b7\u30f3\u30dc\u30ea\u30c3\u30af\u30ea\u30f3\u30af\u3092\u4f5c\u6210\u3057\u3088\u3046\u3068\u3057\u305f\u969b\u306b\u767a\u751f\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u8a66\u3057\u305f\u89e3\u6c7a\u7b56<\/h3>\n\n\n\n<ol>\n<li>Windows\u3067\u30b3\u30de\u30f3\u30c9\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u300c\u7ba1\u7406\u8005\u3068\u3057\u3066\u5b9f\u884c\u300d\u3057\u3001\u305d\u306e\u4e2d\u3067 <code>jupyter notebook<\/code> \u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u307f\u307e\u3059\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u4eee\u60f3\u74b0\u5883\u306f\u3059\u3067\u306b\u4f5c\u6210\u3057\u3066\u3044\u308b\u306e\u3067\u3001\u76ee\u7684\u306e\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u79fb\u52d5\u3057\u3066\u4eee\u60f3\u74b0\u5883\u3092\u30a2\u30af\u30c6\u30a3\u30d9\u30fc\u30c8\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>cd<br>cd youtube<br>cd whisper<br>venvScriptsactivate<\/p>\n\n\n\n<p>\u30d6\u30e9\u30a6\u30b6\u3067\u5148\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u30a8\u30e9\u30fc\u306f\u51fa\u305f\u3082\u306e\u306e\u5185\u5bb9\u304c\u5909\u308f\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p><strong>LibsndfileError<\/strong> Traceback (most recent call last) Cell <strong>In[2], line 3<\/strong> 1 <strong>from<\/strong><strong>whisperspeech<\/strong><strong>.<\/strong><strong>pipeline<\/strong><strong>import<\/strong> Pipeline 2 pipe = Pipeline() <strong>&#8212;-&gt; 3<\/strong> pipe.generate_to_notebook(&#8220;&#8221;&#8221; 4 This is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer. 5 &#8220;&#8221;&#8221;, lang=&#8217;en&#8217;, speaker=&#8217;<a href=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/7\/75\/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/upload.wikimedia.org\/wikipedia\/commons\/7\/75\/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg<\/a>&#8216;) File <strong>C:youtubewhispervenvlibsite-packageswhisperspeechpipeline.py:93<\/strong>, in Pipeline.generate_to_notebook<strong>(self, text, speaker, lang, cps, step_callback)<\/strong> 92 <strong>def<\/strong> generate_to_notebook(self, text, speaker=<strong>None<\/strong>, lang=&#8217;en&#8217;, cps=15, step_callback=<strong>None<\/strong>): <strong>&#8212;&gt; 93<\/strong> self.vocoder.decode_to_notebook(self.generate_atoks(text, speaker, lang=lang, cps=cps, step_callback=<strong>None<\/strong>)) File <strong>C:youtubewhispervenvlibsite-packageswhisperspeechpipeline.py:80<\/strong>, in Pipeline.generate_atoks<strong>(self, text, speaker, lang, cps, step_callback)<\/strong> 78 <strong>def<\/strong> generate_atoks(self, text, speaker=<strong>None<\/strong>, lang=&#8217;en&#8217;, cps=15, step_callback=<strong>None<\/strong>): 79 <strong>if<\/strong> speaker <strong>is<\/strong><strong>None<\/strong>: speaker = self.default_speaker <strong>&#8212;&gt; 80<\/strong><strong>elif<\/strong> isinstance(speaker, (str, Path)): speaker = self.extract_spk_emb(speaker) 81 text = text.replace(&#8220;<strong>n<\/strong>&#8220;, &#8221; &#8220;) 82 stoks = self.t2s.generate(text, cps=cps, lang=lang, step=step_callback) File <strong>C:youtubewhispervenvlibsite-packageswhisperspeechpipeline.py:73<\/strong>, in Pipeline.extract_spk_emb<strong>(self, fname)<\/strong> 69 <strong>from<\/strong><strong>speechbrain<\/strong><strong>.<\/strong><strong>pretrained<\/strong><strong>import<\/strong> EncoderClassifier 70 self.encoder = EncoderClassifier.from_hparams(&#8220;speechbrain\/spkrec-ecapa-voxceleb&#8221;, 71 savedir=&#8221;~\/.cache\/speechbrain\/&#8221;, 72 run_opts={&#8220;device&#8221;: &#8220;cuda&#8221;}) <strong>&#8212;&gt; 73<\/strong> samples, sr = torchaudio.load(fname) 74 samples = self.encoder.audio_normalizer(samples[0,:30*sr], sr) 75 spk_emb = self.encoder.encode_batch(samples) File <strong>C:youtubewhispervenvlibsite-packagestorchaudio_backendutils.py:204<\/strong>, in get_load_func.&lt;locals&gt;.load<strong>(uri, frame_offset, num_frames, normalize, channels_first, format, buffer_size, backend)<\/strong> 127 &#8220;&#8221;&#8221;Load audio data from source. 128 129 By default (&#8220;normalize=True&#8220;, &#8220;channels_first=True&#8220;), this function returns Tensor with <strong>(&#8230;)<\/strong> 201 `[channel, time]` else `[time, channel]`. 202 &#8220;&#8221;&#8221; 203 backend = dispatcher(uri, format, backend) <strong>&#8211;&gt; 204<\/strong><strong>return<\/strong> backend.load(uri, frame_offset, num_frames, normalize, channels_first, format, buffer_size) File <strong>C:youtubewhispervenvlibsite-packagestorchaudio_backendsoundfile.py:27<\/strong>, in SoundfileBackend.load<strong>(uri, frame_offset, num_frames, normalize, channels_first, format, buffer_size)<\/strong> 17 @staticmethod 18 <strong>def<\/strong> load( 19 uri: Union[BinaryIO, str, os.PathLike], <strong>(&#8230;)<\/strong> 25 buffer_size: int = 4096, 26 ) -&gt; Tuple[torch.Tensor, int]: <strong>&#8212;&gt; 27<\/strong><strong>return<\/strong> soundfile_backend.load(uri, frame_offset, num_frames, normalize, channels_first, format) File <strong>C:youtubewhispervenvlibsite-packagestorchaudio_backendsoundfile_backend.py:221<\/strong>, in load<strong>(filepath, frame_offset, num_frames, normalize, channels_first, format)<\/strong> 139 @_requires_soundfile 140 <strong>def<\/strong> load( 141 filepath: str, <strong>(&#8230;)<\/strong> 146 format: Optional[str] = <strong>None<\/strong>, 147 ) -&gt; Tuple[torch.Tensor, int]: 148 &#8220;&#8221;&#8221;Load audio data from file. 149 150 Note: <strong>(&#8230;)<\/strong> 219 `[channel, time]` else `[time, channel]`. 220 &#8220;&#8221;&#8221; <strong>&#8211;&gt; 221<\/strong><strong>with<\/strong> soundfile.SoundFile(filepath, &#8220;r&#8221;) <strong>as<\/strong> file_: 222 <strong>if<\/strong> file_.format != &#8220;WAV&#8221; <strong>or<\/strong> normalize: 223 dtype = &#8220;float32&#8221; File <strong>C:youtubewhispervenvlibsite-packagessoundfile.py:658<\/strong>, in SoundFile.__init__<strong>(self, file, mode, samplerate, channels, subtype, endian, format, closefd)<\/strong> 655 self._mode = mode 656 self._info = _create_info_struct(file, mode, samplerate, channels, 657 format, subtype, endian) <strong>&#8211;&gt; 658<\/strong> self._file = self._open(file, mode_int, closefd) 659 <strong>if<\/strong> set(mode).issuperset(&#8216;r+&#8217;) <strong>and<\/strong> self.seekable(): 660 # Move write position to 0 (like in Python file objects) 661 self.seek(0) File <strong>C:youtubewhispervenvlibsite-packagessoundfile.py:1216<\/strong>, in SoundFile._open<strong>(self, file, mode_int, closefd)<\/strong> 1213 <strong>if<\/strong> file_ptr == _ffi.NULL: 1214 # get the actual error code 1215 err = _snd.sf_error(file_ptr) <strong>-&gt; 1216<\/strong><strong>raise<\/strong> LibsndfileError(err, prefix=&#8221;Error opening <strong>{0!r}<\/strong>: &#8220;.format(self.name)) 1217 <strong>if<\/strong> mode_int == _snd.SFM_WRITE: 1218 # Due to a bug in libsndfile version &lt;= 1.0.25, frames != 0 1219 # when opening a named pipe in SFM_WRITE mode. 1220 # See <a href=\"http:\/\/github.com\/erikd\/libsndfile\/issues\/77\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/github.com\/erikd\/libsndfile\/issues\/77<\/a>. 1221 self._info.frames = 0 <strong>LibsndfileError<\/strong>: Error opening &#8216;<a href=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/7\/75\/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/upload.wikimedia.org\/wikipedia\/commons\/7\/75\/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg<\/a>&#8216;: System error.<\/p>\n\n\n\n<p>\u539f\u56e0\u306e\u8abf\u67fb\u3002<br>\u8868\u793a\u3055\u308c\u305f <code>LibsndfileError<\/code> \u306f\u3001<code>torchaudio<\/code> \u304c\u30ea\u30e2\u30fc\u30c8URL\uff08\u3053\u306e\u5834\u5408\u306f\u30a6\u30a3\u30f3\u30b9\u30c8\u30f3\u30fb\u30c1\u30e3\u30fc\u30c1\u30eb\u306e\u30b9\u30d4\u30fc\u30c1\u306eURL\uff09\u304b\u3089\u76f4\u63a5\u97f3\u58f0\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3082\u3046\u3068\u3057\u3066\u5931\u6557\u3057\u305f\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<code>torchaudio<\/code> \u306f\u3001\u901a\u5e38\u3001\u30ed\u30fc\u30ab\u30eb\u30d5\u30a1\u30a4\u30eb\u30b7\u30b9\u30c6\u30e0\u306b\u3042\u308b\u97f3\u58f0\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3080\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u304a\u308a\u3001URL\u304b\u3089\u306e\u76f4\u63a5\u8aad\u307f\u8fbc\u307f\u306f\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u89e3\u6c7a\u7b56<\/h3>\n\n\n\n<ol>\n<li><strong>\u97f3\u58f0\u30d5\u30a1\u30a4\u30eb\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\uff1a<\/strong>\n<ul>\n<li>\u53c2\u7167\u97f3\u58f0\u3068\u3057\u3066\u4f7f\u7528\u3057\u305f\u3044\u30d5\u30a1\u30a4\u30eb\u3092\u624b\u52d5\u3067\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3001\u30ed\u30fc\u30ab\u30eb\u30d5\u30a1\u30a4\u30eb\u30b7\u30b9\u30c6\u30e0\u306b\u4fdd\u5b58\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f\u30d5\u30a1\u30a4\u30eb\u3078\u306e\u30d1\u30b9\u306e\u6307\u5b9a\uff1a<\/strong>\n<ul>\n<li>\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f\u97f3\u58f0\u30d5\u30a1\u30a4\u30eb\u306e\u30ed\u30fc\u30ab\u30eb\u30d1\u30b9\u3092 <code>speaker<\/code> \u5f15\u6570\u306b\u6307\u5b9a\u3057\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001<code>speaker='downloaded_file.ogg'<\/code> \u306e\u3088\u3046\u306b\u6307\u5b9a\u3057\u307e\u3059\uff08<code>downloaded_file.ogg<\/code> \u306f\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f\u30d5\u30a1\u30a4\u30eb\u306e\u540d\u524d\u3067\u3059\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u30b3\u30fc\u30c9\u306e\u4fee\u6b63\uff1a<\/strong>\n<ul>\n<li>Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u5185\u3067\u3001<code>speaker<\/code> \u5f15\u6570\u3092\u66f4\u65b0\u3057\u3066\u3001\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f\u30d5\u30a1\u30a4\u30eb\u306e\u30d1\u30b9\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002\u306a\u304a\u3001\u30b3\u30fc\u30c9\u3068\u540c\u3058\u5834\u5408\u306b\u97f3\u58f0\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308b\u6642\u306f\u3001\u30d5\u30a1\u30a4\u30eb\u540d\u3060\u3051\u3092\u8a18\u8ff0\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from whisperspeech.pipeline import Pipeline\n\n# Pipeline\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u521d\u671f\u5316\npipe = Pipeline()\n\n# \u4ee5\u964d\u3067 pipe.generate_to_notebook(...) \u3092\u4f7f\u7528\npipe.generate_to_notebook(\n    \"\"\"\n    This is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer.\n    \"\"\",\n    lang='en',\n    speaker='path\/to\/downloaded\/file.ogg'\n)<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/minokamo.xyz\/img\/blog\/2024\/01\/202401246.png\" alt=\"\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"WhisperSpeech\u3092\u81ea\u5206\u306ePC\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb(Whisper Speech)\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/tIkkRTHtruc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Complete Guide to Installing WhisperSpeech: From Error Resolution to Execution\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/JEpYWwgLDE0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>\u300cWhisperSpeech\u300d\u3068\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u304b\u3089\u97f3\u58f0\u3092\u5408\u6210\u3059\u308b\u305f\u3081\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u30c6\u30ad\u30b9\u30c8\u30fb\u30c8\u30a5\u30fb\u30b9\u30d4\u30fc\u30c1\uff08TTS\uff09\u30b7\u30b9\u30c6\u30e0\u3067\u3059\u3002\u3053\u306e\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4eba\u306e\u58f0\u306b\u4f3c\u305f\u97f3\u58f0\u306b\u5909\u63db\u3059\u308b\u6280\u8853\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u4ee5\u4e0b\u306b\u3001Wh [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/192.168.0.139:8080\/wp-json\/wp\/v2\/posts\/374"}],"collection":[{"href":"http:\/\/192.168.0.139:8080\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/192.168.0.139:8080\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/192.168.0.139:8080\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/192.168.0.139:8080\/wp-json\/wp\/v2\/comments?post=374"}],"version-history":[{"count":0,"href":"http:\/\/192.168.0.139:8080\/wp-json\/wp\/v2\/posts\/374\/revisions"}],"wp:attachment":[{"href":"http:\/\/192.168.0.139:8080\/wp-json\/wp\/v2\/media?parent=374"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/192.168.0.139:8080\/wp-json\/wp\/v2\/categories?post=374"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/192.168.0.139:8080\/wp-json\/wp\/v2\/tags?post=374"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}