{"id":64071,"date":"2025-04-30T14:23:07","date_gmt":"2025-04-30T06:23:07","guid":{"rendered":"https:\/\/fwq.ai\/blog\/?p=64071"},"modified":"2025-04-30T14:25:37","modified_gmt":"2025-04-30T06:25:37","slug":"%e9%9b%b6%e5%9f%ba%e7%a1%80%e6%90%ad%e5%bb%baai%e4%bd%9c%e6%9b%b2%e7%b3%bb%e7%bb%9f%ef%bc%9a%e5%9f%ba%e4%ba%8emagenta%e4%b8%8etensorflow%e7%9a%84%e6%99%ba%e8%83%bd%e9%9f%b3%e4%b9%90%e5%88%9b%e4%bd%9c","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/64071\/","title":{"rendered":"\u96f6\u57fa\u7840\u642d\u5efaAI\u4f5c\u66f2\u7cfb\u7edf\uff1a\u57fa\u4e8eMagenta\u4e0eTensorFlow\u7684\u667a\u80fd\u97f3\u4e50\u521b\u4f5c\u5e73\u53f0"},"content":{"rendered":"<p>\u5728\u4eba\u5de5\u667a\u80fd\u4e0d\u65ad\u6df1\u5165\u5185\u5bb9\u521b\u4f5c\u9886\u57df\u7684\u4eca\u5929\uff0c\u97f3\u4e50\u751f\u6210\u6280\u672f\u4e5f\u8fce\u6765\u4e86\u5168\u65b0\u53d8\u9769\u3002\u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4e0e\u97f3\u9891\u5904\u7406\u7b97\u6cd5\u7684\u7ed3\u5408\uff0c\u5f00\u53d1\u8005\u5982\u4eca\u53ef\u4ee5\u8f7b\u677e\u6784\u5efa\u4e00\u4e2a\u5177\u5907\u53e4\u5178\u3001\u7235\u58eb\u751a\u81f3\u5df4\u6d1b\u514b\u98ce\u683c\u5207\u6362\u80fd\u529b\u7684\u667a\u80fd\u4f5c\u66f2\u7cfb\u7edf\u3002\u672c\u6587\u5c06\u4ee5Magenta\u4e0eTensorFlow\u4e3a\u6838\u5fc3\uff0c\u7cfb\u7edf\u8bb2\u89e3\u4ece\u73af\u5883\u642d\u5efa\u5230Web\u4ea4\u4e92\u7684\u5b8c\u6574\u5f00\u53d1\u6d41\u7a0b\uff0c\u9002\u5408\u5e0c\u671b\u4e86\u89e3AI\u97f3\u4e50\u521b\u4f5c\u7684\u6280\u672f\u4eba\u5458\u53ca\u670d\u52a1\u5668\u8d2d\u4e70\u8005\u3002<\/p>\n<p>\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u90e8\u7f72\u6b64\u7c7b\u9ad8\u8ba1\u7b97\u9700\u6c42\u7684AI\u9879\u76ee\uff0c\u5f3a\u70c8\u63a8\u8350\u9009\u62e9<strong>\u7f8e\u56fd\u670d\u52a1\u5668<\/strong>\u6216<strong>\u7f8e\u56fd\u4e91\u670d\u52a1\u5668<\/strong>\uff0c\u8bbf\u95ee\u901f\u5ea6\u5feb\uff0c\u7b97\u529b\u7a33\u5b9a\uff0c\u975e\u5e38\u9002\u5408\u8fd0\u884c\u6df1\u5ea6\u5b66\u4e60\u7c7b\u670d\u52a1\u3002<\/p>\n<hr \/>\n<h2>\u4e00\u3001\u5f00\u53d1\u73af\u5883\u4e0e\u4f9d\u8d56\u5de5\u5177<\/h2>\n<h3>1. \u6838\u5fc3\u6280\u672f\u7ec4\u4ef6\uff1a<\/h3>\n<ul>\n<li>TensorFlow 2.x\uff1a\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u652f\u6301LSTM\u6a21\u578b\u8bad\u7ec3\uff1b<\/li>\n<li>Magenta\uff1a\u7528\u4e8e\u827a\u672f\u4e0e\u97f3\u4e50\u751f\u6210\u7684AI\u5de5\u5177\u5305\uff1b<\/li>\n<li>MIDIUtil\uff1aMIDI\u6587\u4ef6\u7684\u8bfb\u5199\u5de5\u5177\uff1b<\/li>\n<li>Flask\uff1aWeb\u63a5\u53e3\u6784\u5efa\u6846\u67b6\u3002<\/li>\n<\/ul>\n<h3>2. \u73af\u5883\u642d\u5efa\u6b65\u9aa4\uff1a<\/h3>\n<pre><code class=\"language-bash\"># \u521b\u5efa\u865a\u62df\u73af\u5883\r\npython -m venv ai_music_env\r\nsource ai_music_env\/bin\/activate  # Mac\/Linux\r\nai_music_env\\Scripts\\activate.bat  # Windows\r\n\r\n# \u5b89\u88c5\u4f9d\u8d56\u5305\r\npip install tensorflow magenta midiutil flask\r\n<\/code><\/pre>\n<hr \/>\n<h2>\u4e8c\u3001\u97f3\u4e50\u6570\u636e\u9884\u5904\u7406<\/h2>\n<h3>3. MIDI\u6587\u4ef6\u89e3\u6790\u4e0e\u8f6c\u5316\uff1a<\/h3>\n<pre><code class=\"language-python\">from magenta.music import midi_io, melodies_lib\r\n\r\ndef parse_midi(file_path):\r\n    midi_data = midi_io.midi_file_to_note_sequence(file_path)\r\n    return melodies_lib.extract_melodies(midi_data)\r\n<\/code><\/pre>\n<h3>4. \u6570\u636e\u6807\u51c6\u5316\u5904\u7406\uff1a<\/h3>\n<ul>\n<li>\u97f3\u7b26\u7f16\u7801\u4e3a\u6574\u6570\u5e8f\u5217\uff1b<\/li>\n<li>\u8282\u594f\u91cf\u5316\u523016\u5206\u97f3\u7b26\uff1b<\/li>\n<li>\u5e8f\u5217\u7edf\u4e00\u957f\u5ea6\uff0c\u586b\u5145\u7279\u6b8a\u6807\u8bb0\uff08<code>&lt;PAD&gt;<\/code>\uff09\u3002<\/li>\n<\/ul>\n<hr \/>\n<h2>\u4e09\u3001\u8bad\u7ec3\u97f3\u4e50\u751f\u6210\u6a21\u578b<\/h2>\n<h3>5. \u6784\u5efaLSTM\u6a21\u578b\uff1a<\/h3>\n<pre><code class=\"language-python\">def build_model(input_shape, num_notes):\r\n    model = tf.keras.Sequential([\r\n        LSTM(512, return_sequences=True, input_shape=input_shape),\r\n        LSTM(512),\r\n        Dense(num_notes, activation='softmax')\r\n    ])\r\n    model.compile(loss='categorical_crossentropy', optimizer='adam')\r\n    return model\r\n<\/code><\/pre>\n<h3>6. \u6a21\u578b\u8bad\u7ec3\u6d41\u7a0b\uff1a<\/h3>\n<pre><code class=\"language-python\">model = build_model((100, 128), 128)\r\nmodel.fit(X_train, y_train, epochs=50, batch_size=64)\r\n<\/code><\/pre>\n<p>\u90e8\u7f72\u65f6\u63a8\u8350\u9009\u7528<strong>\u7f8e\u56fd\u4e91\u670d\u52a1\u5668<\/strong>\uff0c\u4ee5\u83b7\u53d6\u66f4\u5feb\u7684\u8bad\u7ec3\u901f\u5ea6\u548c\u7a33\u5b9a\u7684GPU\u8d44\u6e90\u652f\u6301\uff0c\u9009\u62e9\u9ad8\u6027\u4ef7\u6bd4\u65b9\u6848\u3002<\/p>\n<hr \/>\n<h2>\u56db\u3001\u5b9e\u73b0\u98ce\u683c\u8fc1\u79fb<\/h2>\n<h3>7. \u63d0\u53d6\u98ce\u683c\u7279\u5f81\uff1a<\/h3>\n<ul>\n<li>\u9891\u7387\u5206\u6790\uff08\u5982\u97f3\u9ad8\u5206\u5e03\uff09\uff1b<\/li>\n<li>\u8282\u594f\u4e0e\u548c\u5f26\u8d70\u5411\u5efa\u6a21\uff1b<\/li>\n<li>VAE\u6a21\u578b\u8fdb\u884c\u7f16\u7801\u6df7\u5408\u5904\u7406\u3002<\/li>\n<\/ul>\n<h3>8. \u98ce\u683c\u8f6c\u79fb\u7b97\u6cd5\u793a\u610f\uff1a<\/h3>\n<pre><code class=\"language-python\">mixed_latent = 0.7 * content_latent + 0.3 * style_latent\r\n<\/code><\/pre>\n<hr \/>\n<h2>\u4e94\u3001MIDI\u5408\u6210\u4e0e\u97f3\u9891\u8f93\u51fa<\/h2>\n<h3>9. MIDI\u6587\u4ef6\u751f\u6210\uff1a<\/h3>\n<pre><code class=\"language-python\">from midiutil import MIDIFile\r\n\r\ndef generate_midi(melody, filename):\r\n    midi = MIDIFile(1)\r\n    time = 0\r\n    for note in melody:\r\n        pitch = note.pitch\r\n        duration = note.end_time - note.start_time\r\n        midi.addNote(0, 0, pitch, time, duration, 100)\r\n        time += duration\r\n    with open(filename, \"wb\") as f:\r\n        midi.writeFile(f)\r\n<\/code><\/pre>\n<h3>10. \u97f3\u9891\u6e32\u67d3\uff1a<\/h3>\n<p>\u4f7f\u7528FluidSynth\u5c06MIDI\u8f6c\u4e3a\u9ad8\u8d28\u91cf\u97f3\u9891WAV\u6587\u4ef6\u3002<\/p>\n<hr \/>\n<h2>\u516d\u3001\u4ea4\u4e92\u5f0fWeb\u524d\u540e\u7aef\u642d\u5efa<\/h2>\n<h3>11. \u540e\u7aefAPI\u63a5\u53e3\uff08Flask\uff09\uff1a<\/h3>\n<pre><code class=\"language-python\">@app.route('\/generate', methods=['POST'])\r\ndef generate_music():\r\n    style = request.json['style']\r\n    midi_data = ai_composer.generate(style)\r\n    audio_data = convert_midi_to_wav(midi_data)\r\n    return send_file(audio_data, mimetype='audio\/wav')\r\n<\/code><\/pre>\n<h3>12. \u524d\u7aef\u4ea4\u4e92\u9875\u9762\uff1a<\/h3>\n<p>\u7528\u6237\u53ef\u9009\u62e9\u98ce\u683c\u751f\u6210\u97f3\u4e50\u5e76\u5728\u7ebf\u64ad\u653e\uff0c\u63d0\u5347\u4f53\u9a8c\u3002<\/p>\n<hr \/>\n<h2>\u4e03\u3001\u7cfb\u7edf\u4f18\u5316\u5efa\u8bae<\/h2>\n<h3>13. \u6027\u80fd\u4f18\u5316\u65b9\u5411\uff1a<\/h3>\n<ul>\n<li>GPU\u52a0\u901f\uff1b<\/li>\n<li>\u4f7f\u7528\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\uff1b<\/li>\n<li>\u6a21\u578b\u8f7b\u91cf\u5316\u4e0e\u91cf\u5316\u90e8\u7f72\u3002<\/li>\n<\/ul>\n<h3>14. \u529f\u80fd\u62d3\u5c55\u5efa\u8bae\uff1a<\/h3>\n<ul>\n<li>\u652f\u6301\u591a\u4e50\u5668\u7f16\u66f2\uff1b<\/li>\n<li>\u5b9e\u73b0\u60c5\u7eea\u9a71\u52a8\u97f3\u4e50\u751f\u6210\uff1b<\/li>\n<li>\u5f00\u53d1\u53ef\u89c6\u5316\u8c31\u9762\u7f16\u8f91\u754c\u9762\u3002<\/li>\n<\/ul>\n<hr \/>\n<h2>\u7ed3\u8bed\uff1aAI\u97f3\u4e50\u521b\u4f5c\u7684\u65b0\u7eaa\u5143<\/h2>\n<p>\u5f53\u4eba\u5de5\u667a\u80fd\u9010\u6b65\u638c\u63e1\u8282\u594f\u4e0e\u65cb\u5f8b\u7684\u89c4\u5f8b\uff0c\u6211\u4eec\u4e5f\u6b63\u5728\u8fce\u6765\u97f3\u4e50\u521b\u4f5c\u7684\u5168\u65b0\u53ef\u80fd\u3002\u642d\u5efa\u4e00\u4e2a\u5b8c\u6574\u7684AI\u4f5c\u66f2\u5e73\u53f0\u4e0d\u4ec5\u662f\u6280\u672f\u80fd\u529b\u7684\u4f53\u73b0\uff0c\u66f4\u662f\u62e5\u62b1\u521b\u610f\u4e0e\u827a\u672f\u7684\u5c1d\u8bd5\u3002\u65e0\u8bba\u4f60\u662fAI\u5f00\u53d1\u8005\uff0c\u8fd8\u662f\u97f3\u4e50\u7231\u597d\u8005\uff0c\u90fd\u80fd\u4ece\u8fd9\u5957\u7cfb\u7edf\u4e2d\u6536\u83b7\u65e0\u9650\u7075\u611f\u3002<\/p>\n<p>\u60f3\u8ba9\u4f60\u7684AI\u4f5c\u66f2\u5e73\u53f0\u7a33\u5b9a\u3001\u9ad8\u6548\u8fd0\u884c\uff1f\u7acb\u5373\u9009\u7528\u9ad8\u6027\u80fd<a href=\"https:\/\/fwq.ai\/\">\u7f8e\u56fd\u670d\u52a1\u5668<\/a>\uff0c\u63a2\u7d22\u66f4\u591a\u7f8e\u56fdVPS\u4e0e\u4e91\u670d\u52a1\u5668\u65b9\u6848\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728\u4eba\u5de5\u667a\u80fd\u4e0d\u65ad\u6df1\u5165\u5185\u5bb9\u521b\u4f5c\u9886\u57df\u7684\u4eca\u5929\uff0c\u97f3\u4e50\u751f\u6210\u6280\u672f\u4e5f\u8fce\u6765\u4e86\u5168\u65b0\u53d8\u9769\u3002\u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4e0e\u97f3\u9891\u5904\u7406\u7b97\u6cd5\u7684\u7ed3\u5408\uff0c\u5f00\u53d1\u8005\u5982\u4eca\u53ef\u4ee5\u8f7b\u677e\u6784\u5efa\u4e00\u4e2a\u5177\u5907\u53e4\u5178\u3001\u7235\u58eb\u751a\u81f3\u5df4\u6d1b\u514b\u98ce\u683c\u5207\u6362\u80fd\u529b\u7684\u667a\u80fd\u4f5c\u66f2\u7cfb\u7edf\u3002\u672c\u6587\u5c06\u4ee5Magenta\u4e0eTensorFlow\u4e3a\u6838\u5fc3\uff0c\u7cfb\u7edf\u8bb2\u89e3\u4ece\u73af\u5883\u642d\u5efa\u5230Web\u4ea4\u4e92\u7684\u5b8c\u6574\u5f00\u53d1\u6d41\u7a0b\uff0c\u9002\u5408\u5e0c\u671b\u4e86\u89e3AI\u97f3\u4e50\u521b\u4f5c\u7684\u6280\u672f\u4eba\u5458\u53ca\u670d\u52a1\u5668\u8d2d\u4e70\u8005\u3002 \u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u90e8\u7f72\u6b64\u7c7b\u9ad8\u8ba1\u7b97\u9700\u6c42\u7684AI\u9879\u76ee\uff0c\u5f3a\u70c8\u63a8\u8350\u9009\u62e9\u7f8e\u56fd\u670d\u52a1\u5668\u6216\u7f8e\u56fd\u4e91\u670d\u52a1\u5668\uff0c\u8bbf\u95ee\u901f\u5ea6\u5feb\uff0c\u7b97\u529b\u7a33\u5b9a\uff0c\u975e\u5e38\u9002\u5408\u8fd0\u884c\u6df1\u5ea6\u5b66\u4e60\u7c7b\u670d\u52a1\u3002 \u4e00\u3001\u5f00\u53d1\u73af\u5883\u4e0e\u4f9d\u8d56\u5de5\u5177 1. \u6838\u5fc3\u6280\u672f\u7ec4\u4ef6\uff1a TensorFlow 2.x\uff1a\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u652f\u6301LSTM\u6a21\u578b\u8bad\u7ec3\uff1b Magenta\uff1a\u7528\u4e8e\u827a\u672f\u4e0e\u97f3\u4e50\u751f\u6210\u7684AI\u5de5\u5177\u5305\uff1b MIDIUtil\uff1aMIDI\u6587\u4ef6\u7684\u8bfb\u5199\u5de5\u5177\uff1b Flask\uff1aWeb\u63a5\u53e3\u6784\u5efa\u6846\u67b6\u3002 2. \u73af\u5883\u642d\u5efa\u6b65\u9aa4\uff1a # \u521b\u5efa\u865a\u62df\u73af\u5883 python -m venv ai_music_env source ai_music_env\/bin\/activate # Mac\/Linux ai_music_env\\Scripts\\activate.bat # Windows # \u5b89\u88c5\u4f9d\u8d56\u5305 pip install tensorflow magenta midiutil flask \u4e8c\u3001\u97f3\u4e50\u6570\u636e\u9884\u5904\u7406 3. MIDI\u6587\u4ef6\u89e3\u6790\u4e0e\u8f6c\u5316\uff1a from magenta.music import midi_io, melodies_lib def parse_midi(file_path): midi_data = midi_io.midi_file_to_note_sequence(file_path) return melodies_lib.extract_melodies(midi_data) 4. \u6570\u636e\u6807\u51c6\u5316\u5904\u7406\uff1a \u97f3\u7b26\u7f16\u7801\u4e3a\u6574\u6570\u5e8f\u5217\uff1b \u8282\u594f\u91cf\u5316\u523016\u5206\u97f3\u7b26\uff1b \u5e8f\u5217\u7edf\u4e00\u957f\u5ea6\uff0c\u586b\u5145\u7279\u6b8a\u6807\u8bb0\uff08&lt;PAD&gt;\uff09\u3002 \u4e09\u3001\u8bad\u7ec3\u97f3\u4e50\u751f\u6210\u6a21\u578b 5. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-64071","post","type-post","status-publish","format-standard","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/64071","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=64071"}],"version-history":[{"count":2,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/64071\/revisions"}],"predecessor-version":[{"id":64075,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/64071\/revisions\/64075"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=64071"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=64071"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=64071"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}