<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Saisimon`s blog]]></title><description><![CDATA[Keep Coding]]></description><link>https://blog.youkuaiyun.com/sai_simon</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; sai_simon]]></copyright><item><title><![CDATA[MT3: 多任务多轨音频转录]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/125783433</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/125783433</guid><author>sai_simon</author><pubDate>Wed, 12 Oct 2022 14:36:41 +0800</pubDate><description><![CDATA[自动音乐转录（AMT），从原始音频推断音符，是音乐理解核心的一项具有挑战性的任务。与通常关注单个人声的自动语音识别（ASR）不同，AMT 通常需要同时转录多个乐器，同时保留精细的音高和时间信息。此外，许多 AMT 数据集是“资源不足的”，因为即使是专业音乐家也发现音乐转录既困难又耗时。因此，先前的工作集中在特定任务架构上，为每个任务的各个乐器量身定制。]]></description><category></category></item><item><title><![CDATA[使用 Transformer 序列到序列的钢琴转录]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/125783286</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/125783286</guid><author>sai_simon</author><pubDate>Sun, 17 Jul 2022 13:23:14 +0800</pubDate><description><![CDATA[近年来，自动音乐转录通过在大型数据集上训练自定义深度神经网络取得了重大进展。然而这些模型需要对网络架构、输入/输出表示和复杂的解码方案进行特定领域的设计。在这项工作中，我们展示了使用具有标准解码方法的通用编码器解码器 Transformer 可以实现相同的性能。我们展示了该模型可以学习将频谱图输入直接转换为类 MIDI （MIDI-like）的输出，以用于多个转录任务。这种序列到序列的方法通过联合建模音频特征和类语言（language-like）的输出依赖关系来简化转录，从而消除对特定任务架构的需求。...]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（二十二）-近似k近邻算法-Annoy（Approximate Nearest Neighbor / ANN）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/124960727</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/124960727</guid><author>sai_simon</author><pubDate>Wed, 25 May 2022 11:44:33 +0800</pubDate><description><![CDATA[机器学习算法系列（二十二）-近似k近邻算法-Annoy（Approximate Nearest Neighbor / ANN）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（二十一）-k近邻算法（k-Nearest Neighbor / kNN Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/124209904</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/124209904</guid><author>sai_simon</author><pubDate>Sun, 17 Apr 2022 09:40:49 +0800</pubDate><description><![CDATA[机器学习算法系列（二十一）-k近邻算法（k-Nearest Neighbor / kNN Algorithm）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（二十）-梯度提升决策树算法（Gradient Boosted Decision Trees / GBDT）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/123948766</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/123948766</guid><author>sai_simon</author><pubDate>Mon, 04 Apr 2022 09:59:05 +0800</pubDate><description><![CDATA[机器学习算法系列（二十）-梯度提升决策树算法（Gradient Boosted Decision Trees / GBDT）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十九）-自适应增强算法（Adaptive Boosting Algorithm / AdaBoost Algorithm）——下篇]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/123751454</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/123751454</guid><author>sai_simon</author><pubDate>Sat, 26 Mar 2022 10:33:39 +0800</pubDate><description><![CDATA[机器学习算法系列（十九）-自适应增强算法（Adaptive Boosting Algorithm / AdaBoost Algorithm）——下篇]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十九）-自适应增强算法（Adaptive Boosting Algorithm / AdaBoost Algorithm）——上篇]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/123751406</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/123751406</guid><author>sai_simon</author><pubDate>Sat, 26 Mar 2022 10:32:44 +0800</pubDate><description><![CDATA[机器学习算法系列（十九）-自适应增强算法（Adaptive Boosting Algorithm / AdaBoost Algorithm）——上篇]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十八）-随机森林算法（Random Forest Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/123082619</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/123082619</guid><author>sai_simon</author><pubDate>Wed, 23 Feb 2022 09:45:16 +0800</pubDate><description><![CDATA[机器学习算法系列（十八）-随机森林算法（Random Forest Algorithm）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十七）-决策树学习算法（Decision Tree Learning Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122964676</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122964676</guid><author>sai_simon</author><pubDate>Wed, 16 Feb 2022 15:29:58 +0800</pubDate><description><![CDATA[机器学习算法系列（十七）-决策树学习算法（Decision Tree Learning Algorithm）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十六）-非线性支持向量机算法（Non-Linear Support Vector Machine）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122804612</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122804612</guid><author>sai_simon</author><pubDate>Mon, 07 Feb 2022 09:51:20 +0800</pubDate><description><![CDATA[机器学习算法系列（十六）-非线性支持向量机算法（Non-Linear Support Vector Machine）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十五）-软间隔支持向量机算法（Soft-margin Support Vector Machine）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122751000</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122751000</guid><author>sai_simon</author><pubDate>Sun, 30 Jan 2022 10:50:12 +0800</pubDate><description><![CDATA[机器学习算法系列（十五）-软间隔支持向量机算法（Soft-margin Support Vector Machine）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十四）-硬间隔支持向量机算法（Hard-margin Support Vector Machine）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122716564</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122716564</guid><author>sai_simon</author><pubDate>Thu, 27 Jan 2022 13:52:13 +0800</pubDate><description><![CDATA[机器学习算法系列（十四）-硬间隔支持向量机算法（Hard-margin Support Vector Machine）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十三）-朴素贝叶斯分类算法（Naive Bayes Classifier Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122679234</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122679234</guid><author>sai_simon</author><pubDate>Tue, 25 Jan 2022 09:39:51 +0800</pubDate><description><![CDATA[机器学习算法系列（十三）-朴素贝叶斯分类算法（Naive Bayes Classifier Algorithm）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十二）-二次判别分析算法（Quadratic Discriminant Analysis Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122637369</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122637369</guid><author>sai_simon</author><pubDate>Sat, 22 Jan 2022 14:38:38 +0800</pubDate><description><![CDATA[机器学习算法系列（十二）-二次判别分析算法（Quadratic Discriminant Analysis Algorithm）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十一）-线性判别分析算法（二）（Linear Discriminant Analysis Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122559866</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122559866</guid><author>sai_simon</author><pubDate>Tue, 18 Jan 2022 14:42:50 +0800</pubDate><description><![CDATA[机器学习算法系列（十一）-线性判别分析算法（二）（Linear Discriminant Analysis Algorithm）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（十）-线性判别分析算法（一）（Linear Discriminant Analysis Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122509538</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122509538</guid><author>sai_simon</author><pubDate>Sat, 15 Jan 2022 14:07:03 +0800</pubDate><description><![CDATA[机器学习算法系列（十）-线性判别分析算法（一）（Linear Discriminant Analysis Algorithm）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（九）-多分类对数几率回归算法（Multinomial Logistic Regression）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122470130</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122470130</guid><author>sai_simon</author><pubDate>Thu, 13 Jan 2022 14:34:21 +0800</pubDate><description><![CDATA[机器学习算法系列（九）-多分类对数几率回归算法（Multinomial Logistic Regression）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（八）-对数几率回归算法（二）（Logistic Regression Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122432020</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122432020</guid><author>sai_simon</author><pubDate>Tue, 11 Jan 2022 14:29:59 +0800</pubDate><description><![CDATA[机器学习算法系列（八）-对数几率回归算法（二）（Logistic Regression Algorithm）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（七）-对数几率回归算法（一）（Logistic Regression Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122390597</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122390597</guid><author>sai_simon</author><pubDate>Sun, 09 Jan 2022 10:29:46 +0800</pubDate><description><![CDATA[机器学习算法系列（七）-对数几率回归算法（一）（Logistic Regression Algorithm）]]></description><category></category></item><item><title><![CDATA[机器学习算法系列（六）- 弹性网络回归算法（Elastic Net Regression Algorithm）]]></title><link>https://blog.youkuaiyun.com/sai_simon/article/details/122376407</link><guid>https://blog.youkuaiyun.com/sai_simon/article/details/122376407</guid><author>sai_simon</author><pubDate>Sat, 08 Jan 2022 09:49:07 +0800</pubDate><description><![CDATA[机器学习算法系列（六）- 弹性网络回归算法（Elastic Net Regression Algorithm）]]></description><category></category></item></channel></rss>