flykhan
2536c937e3
翻译自英文原版 maths-cs-ai-compendium，共 20 章全部完成。 第01章 向量 | 第02章 矩阵 | 第03章 微积分 第04章 统计学 | 第05章 概率论 | 第06章 机器学习 第07章 计算语言学 | 第08章 计算机视觉 | 第09章 音频与语音 第10章 多模态学习 | 第11章 自主系统 | 第12章 图神经网络 第13章 计算与操作系统 | 第14章 数据结构与算法 第15章 生产级软件工程 | 第16章 SIMD与GPU编程 第17章 AI推理 | 第18章 ML系统设计 第19章 应用人工智能 | 第20章 前沿人工智能 翻译说明： - 所有数学公式 $...$ / $$...$$、代码块、图片引用完整保留 - mkdocs.yml 配置中文导航 + language: zh - README.md 已翻译为中文（兼 docs/index.md） - docs/ 目录包含指向各章文件的 symlink - 约 29,000 行中文内容，排除 .cache/ 构建缓存
95 lines
5.7 KiB
XML
95 lines
5.7 KiB
XML
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<text x="350" y="22" text-anchor="middle" font-size="14" font-weight="bold" fill="#333">x-vector TDNN Architecture</text>
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<text x="135" y="56" text-anchor="middle" font-size="9" fill="#333">Input Features (MFCCs)</text>
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<text x="135" y="96" text-anchor="middle" font-size="9" fill="#333">TDNN Layer 1</text>
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<!-- TDNN Layer 2 -->
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<text x="135" y="130" text-anchor="middle" font-size="9" fill="#333">TDNN Layer 2</text>
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<text x="135" y="157" text-anchor="middle" font-size="11" fill="#666">...</text>
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<!-- TDNN Layer 5 -->
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<text x="135" y="176" text-anchor="middle" font-size="9" fill="#333">TDNN Layer 5</text>
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<text x="625" y="170" text-anchor="middle" font-size="8" fill="#e74c3c" transform="rotate(-90,625,170)">Segment-level</text>
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<!-- Statistics Pooling -->
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<text x="343" y="168" text-anchor="middle" font-size="9" font-weight="bold" fill="#333">Statistics Pooling</text>
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<text x="343" y="182" text-anchor="middle" font-size="8" fill="#666">mean + std over frames</text>
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<!-- FC 1 -->
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<text x="468" y="176" text-anchor="middle" font-size="9" fill="#333">FC Layer</text>
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<text x="558" y="176" text-anchor="middle" font-size="9" fill="#333">FC Layer</text>
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<text x="558" y="225" text-anchor="middle" font-size="10" font-weight="bold" fill="#27ae60">x-vector (512-d)</text>
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<text x="360" y="76" text-anchor="middle" font-size="8" font-weight="bold" fill="#3498db">Temporal Context</text>
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<text x="360" y="112" text-anchor="middle" font-size="7" fill="#666">Each TDNN sees a context window</text>
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<text x="50" y="273" font-size="9" fill="#666">Statistics pooling converts variable-length frame-level features into a fixed-size segment-level embedding.</text>
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