“Hulan-2013-12-27”版本间的差异

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TTS
 
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* This week
 
* This week
:* Huilan female voice initial version delivered. The performance is not good. The buzzy is clear.
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:* Delivered a female voice
:* Checking female labeling
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:* Delivered a tunable pitch/speaking rate
:* Start male labeling
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:* Male voice labeling finished
:* Found an error in config file. Generated a better voice.
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* Next week
 
* Next week
:* Deliver a better female voice
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:* Pronunciation dictionary check
  
 
=Dialog system=
 
=Dialog system=
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==Statistical approach==
 
==Statistical approach==
  
* Initial test on the new Custom database shows that more syntactic queries are involved, which leads to confusion in the statistical approach.
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* A preliminary book-search demo is ready, with 400 books, 6 properties, 10 patterns.
 
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* Looks fine, while the pattern set is still limited
<pre>
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* Need to expand the patterns and properties and enrich the functionality.
n-best original merge
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* Looking for more efficient pattern match/learning approach.
1 0.380 0.446
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2 0.468 0.554
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3 0.516 0.600
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4 0.542 0.625
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5 0.559 0.637
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6 0.571 0.645
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7 0.580 0.653
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8 0.588 0.660
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</pre>
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* Book QA system design
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:# Extract 400 books, obtained its properties including author, publisher, ISBN, rating...
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:# Working on data population into to mySql and Jena.  
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==Template matching==
 
==Template matching==
  
* New words finding
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* New words extraction
* Working on person name extraction
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:* Extracting person names
 
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:* Rule-based extraction, consider surname, name convention
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:* N-gram non-names filtering out
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:* Filter out candidates with active word embedded
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:* Check possible names by search engine
  
 
=System design=
 
=System design=
  
* Interface design, web design, db designed all completed
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* Interface implementation on going (dimension management).
* Generating web code with automatic web coder generation.
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* Deadline is 14/1/17

2013年12月27日 (五) 02:21的最后版本

ASR

ASR Kernel development

[ASR group weekly report]

TTS

  • This week
  • Delivered a female voice
  • Delivered a tunable pitch/speaking rate
  • Male voice labeling finished
  • Next week
  • Pronunciation dictionary check

Dialog system

Statistical approach

  • A preliminary book-search demo is ready, with 400 books, 6 properties, 10 patterns.
  • Looks fine, while the pattern set is still limited
  • Need to expand the patterns and properties and enrich the functionality.
  • Looking for more efficient pattern match/learning approach.


Template matching

  • New words extraction
  • Extracting person names
  • Rule-based extraction, consider surname, name convention
  • N-gram non-names filtering out
  • Filter out candidates with active word embedded
  • Check possible names by search engine

System design

  • Interface implementation on going (dimension management).
  • Deadline is 14/1/17