“ASR Status Report 2017-6-5”版本间的差异

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|Hui Tang  
 
|Hui Tang  
 
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**created a database for speech overlap
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* experiments with speech overlap
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{| class="wikitable"
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|-
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! tdnn_word_error
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! tdnn_frame_error
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|-
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|20.00023% (1000,0)/4990
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|
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|}
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{| class="wikitable"
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|-
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! tdnn_vad_word_error
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! tdnn_vad_frame_error
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|-
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|10.9418837675% (539,7)/4990
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|0.208178584613%
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|}
 
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2017年6月5日 (一) 02:17的版本

Date People Last Week This Week
2017.6.5


Hui Tang
    • created a database for speech overlap
  • experiments with speech overlap
tdnn_word_error tdnn_frame_error
20.00023% (1000,0)/4990
tdnn_vad_word_error tdnn_vad_frame_error
10.9418837675% (539,7)/4990 0.208178584613%
Yanqing Wang
Ying Shi
  • mix-lingual structure (without LID)
    • the performance of thch30 is bad than baseline 24.84
    • the performance of kazak is better than baseline 24.37
    • the performance of uyghur is very bad 109.01
  • result analysis
    • pdf mix
    • the language model of uyghur is too weak
  • work for APSIPA2017
Yixiang Chen
  • Ten languages i-vector L-vector + svm performance
  • cough laugh hello data speaker recognition
Lantian Li
Zhiyuan Tang
  • basic recipes for OLR17 and MixASR17
  • improve the recipes and publish


Date People Last Week This Week
2017.5.31


Hui Tang
  • after introducing beamforming, zhiyong lets me learn something about how to sound localization
  • Create a database for overlapping speech
Yanqing Wang
Ying Shi
  • work for Apsipa17
    • thchs baseline
    • kazakh baseline
    • uyghur baseline
    • 3 language merge GMM baseline
  • work for Apsipa17
  • graduation thesis
Yixiang Chen
Lantian Li
  • Submit the Interspeech paper.
  • Deep speaker feature learning with a larger ASR model.
  • Prepare the end-to-end ASV.
  • End-to-end ASV.
Zhiyuan Tang
  • Experiments for OC17 mix-asr challenge,baseline done.
  • Spk feature as LID input.
  • Data preparation for AP17 orl challenge.
  • Two challenges done.