“Hulan-2013-12-13”版本间的差异
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（以内容“=ASR= ==ASR Kernel development== http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/2013-1213 ASR group weekly report ==TTS== * This week :* 2000 utterances ...”创建新页面） |
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| 第3行： | 第3行： | ||
==ASR Kernel development== | ==ASR Kernel development== | ||
| − | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/2013- | + | [[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/2013-12-13 ASR group weekly report]] |
==TTS== | ==TTS== | ||
| 第10行： | 第10行： | ||
:* 2000 utterances recording finished, on labeling silence | :* 2000 utterances recording finished, on labeling silence | ||
:* Design/implement the online stream service | :* Design/implement the online stream service | ||
| − | :* Solve the problem of | + | :* Solve the problem of single English letter pronunciation. |
:* CGI server finished | :* CGI server finished | ||
| 第24行： | 第24行： | ||
:* Tested edit distance to solve unmatched similar words. A little performance gain was obtained, but not quite significant. | :* Tested edit distance to solve unmatched similar words. A little performance gain was obtained, but not quite significant. | ||
| + | <pre> | ||
n-best original edit-distance | n-best original edit-distance | ||
1 0.604 0.605 | 1 0.604 0.605 | ||
| 第33行： | 第34行： | ||
7 0.879 0.883 | 7 0.879 0.883 | ||
8 0.887 0.899 | 8 0.887 0.899 | ||
| − | + | </pre> | |
==Template matching== | ==Template matching== | ||
| + | |||
| + | * Grammar design completed | ||
| + | |||
| + | =System design= | ||
| + | |||
| + | * Interface design, web design completed | ||
| + | * Coding (with automatic web code generator) | ||
2013年12月16日 (一) 09:59的最后版本
目录
ASR
ASR Kernel development
TTS
- This week
- 2000 utterances recording finished, on labeling silence
- Design/implement the online stream service
- Solve the problem of single English letter pronunciation.
- CGI server finished
- Next week
- Deliver new male/female voice
Dialog system
Statistical approach
- Word2Vector seems use the same training approach of NN LM, however we do not know the training object. Will clarify this next Monday.
- Word2Vector can be used to expand queries based on semantic distance.
- Tested edit distance to solve unmatched similar words. A little performance gain was obtained, but not quite significant.
n-best original edit-distance 1 0.604 0.605 2 0.740 0.744 3 0.806 0.810 4 0.842 0.845 5 0.858 0.862 6 0.870 0.873 7 0.879 0.883 8 0.887 0.899
Template matching
- Grammar design completed
System design
- Interface design, web design completed
- Coding (with automatic web code generator)
