“FreeNeb EMBEDED ASR”版本间的差异

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RELEASE TITLE: Embedded ASR system
 
RELEASE TITLE: Embedded ASR system
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RELEASE VERSION: -
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RELEASE VERSION: v0.1
 
RELEASE TYPE: MAIN RELEASE
 
RELEASE TYPE: MAIN RELEASE
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RELEASE LOCATION: FreeNeb wiki
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RELEASE LOCATION: FreeNeb wiki http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6d/Embed-asr.docx
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RELATED BUGDB: 16
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RELATED BUGDB: 22
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RELEASE TIME: 2017/01/06
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RELEASE TIME: 2017/09/06
  
 
1. BACKGROUND:
 
1. BACKGROUND:
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本发布是汇联QA项目的领域问答部分，基于CDSSM实现基础问答系统。RELEASE名为vvQA，与vvBeam, vvEngine, vvPoem同属vv人工智能模块的一部分。 本项目属对汇联延期交付的第一部分，第二部分为vvChat。
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The first copyright application of FreeNeb.
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2. TECHNOLOGY SUMMARY:
 
2. TECHNOLOGY SUMMARY:
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本发布基于CDSSM模型，以三组CNN通过不同窗口长度得到三组特征向量，拼接后经过全连接层给出句子向量。训练采用对比递度下降。具体技术文档见媒体文件:基于深度神经网路的检索相似问题模型.v4.pdf。
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Following Mengyuan's embedded ASR design.
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3. TEST RESULT:
 
3. TEST RESULT:
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模型参数：
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conv: 3 1 2 3
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According to ticket 22, this version is ok for CR application, but still noisy with unclear intention, redundant description for the goal and
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num_filter:100
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little high-level overview. It is basically not valuable for a technical document, but simple for CR application.  
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batch:500
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epoch:10
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Hopefully the next version will be better.
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参数说明：不设置线性层和非线性层，卷积层有三层，每层的 Step 数分别为 1，2，3，filter 数量为 100。一个 batch 的大小为 500，一共训练 10 轮。
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实验结果
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我们一共准备了四组训练语料与测试语料。记为 data_0; data_1;data_2; data_3.
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数据 data_0 data_1 data_2 data_3
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Top1 0.9735 0.9697 0.97218 0.9449
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Top5 0.9924 0.99092 0.99082 0.99238
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Top10 0.9945 0.99388 0.99356 0.99516
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4. RELEASE TEAM:
 
4. RELEASE TEAM:
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Author: 邢超、白子薇
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Author: 赵梦原、阮明瑞
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Contributor:
 
Contributor:
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Monitor: 王东
 
Monitor: 王东

2017年9月5日 (二) 23:49的最后版本

RELEASE TITLE: Embedded ASR system RELEASE VERSION: v0.1 RELEASE TYPE: MAIN RELEASE RELEASE LOCATION: FreeNeb wiki http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6d/Embed-asr.docx RELATED BUGDB: 22 RELEASE TIME: 2017/09/06

1. BACKGROUND:

The first copyright application of FreeNeb.


2. TECHNOLOGY SUMMARY:

Following Mengyuan's embedded ASR design.


3. TEST RESULT:

According to ticket 22, this version is ok for CR application, but still noisy with unclear intention, redundant description for the goal and little high-level overview. It is basically not valuable for a technical document, but simple for CR application.

Hopefully the next version will be better.


4. RELEASE TEAM:

Author: 赵梦原、阮明瑞

Contributor:

Monitor: 王东

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