“ASR Status Report 2017-5-22”版本间的差异

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* learned the principle of beamforming and the knowledge about signal process.
 
* learned the principle of beamforming and the knowledge about signal process.
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* fix beamforming: DS SD
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* fix beamforming: DS SD,MVDR
 
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* the adaptive beamforming: MVDR, LMS...
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* the adaptive beamforming: LMS...
 
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|Ying Shi   
 
|Ying Shi   
 
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* work for nips 
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* condition training done (bad performance)
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* gate control for joint system
 
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* work for apsipa17
 
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|Yixiang Chen   
 
|Yixiang Chen   
 
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* work for nips  
 
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|Lantian Li   
 
|Lantian Li   
 
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* Deep Factorization for Speech Signal.
 
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* Deep Factorization for Speech Signal.
 
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|Lantian Li   
 
|Lantian Li   
 
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* Deep Factorization for Speech Signal.
 
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* Deep Factorization for Speech Signal.
 
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2017年6月1日 (四) 04:51的最后版本

Date People Last Week This Week
2017.5.22


Hui Tang
  • learned the principle of beamforming and the knowledge about signal process.
  • fix beamforming: DS SD,MVDR
  • the adaptive beamforming: LMS...
Yanqing Wang
  • Implemetation of neural sparseness on wsj/thchs30
  • Baseline of wsj and thchs30
Ying Shi
  • work for nips
  • condition training done (bad performance)
  • gate control for joint system
  • work for apsipa17
Yixiang Chen
  • work for nips
Lantian Li
  • Deep Factorization for Speech Signal.
  • Deep Factorization for Speech Signal.
Zhiyuan Tang
  • Material (spoken language processing, DL) reading for Kaldi book writing.
  • Proofreading on NIPS17 paper.
  • MixASR-CHEN 2017 challenge / AP17-OLR challenge.
  • Material reading.
Date People Last Week This Week
2017.5.15


Hui Tang
  • read the code of BTK.
  • to prepare a document or ppt for introducing the ways of beamforming in two weeks.
    • this week: SD, DS, MVDR
    • next week: MMSE, other wasys
  • continue to read the code of BTK
Yanqing Wang
  • basic implementation of sparse neural network on wsj/thchs30
    • baseline
    • neural sparseness
  • a review on sparse neural network
Ying Shi
  • kazak speech recognition
    • less pdf and position feature training down decoding is in progress
    • work for NIPS with Lilt
  • joint system noise decoding here
  • work for NIPS with Lilt
Yixiang Chen
Lantian Li
  • Deep Factorization for Speech Signal.
  • Deep Factorization for Speech Signal.
Zhiyuan Tang
  • ICASSP17 review on selected papers. Schedule for Kaldi book writing.
  • Paper reading with ICASSP17. Book writing.
取自“http://index.cslt.org/mediawiki/index.php?title=ASR_Status_Report_2017-5-22&oldid=27270”