ASR Status Report 2016-11-28

Date	People	Last Week	This Week
2016.11.28	Yanqing Wang	fighting with building GUI interface of one-class-SVM in Visual Studio but not finished yet configure LibSVM toolkit in Visual Studio implement the basic functions of LibSVM in Visual Studio learn to create Qt project using Visual Studio and Qt Creator	finish building GUI interface of one-class-SVM in Visual Studio make the GUI interface display dynamically with the change of given data
	Hang Luo	Do experiments about joint learning including: Fixed language model and give its information to speech model Try smaller language model and find its result Inter Speech paper talk about multi-task and highway connection	Continue to do experiments and read paper about language recognition model
	Ying Shi	some work about kazak speech recognition cnn visualization paper reading ML-book done DNN with different activation function (Sigmoid Tanh Relu pnorm)	cnn visualization
	Yixiang Chen	Continue replay detection (Freq-Weighting and Mel-Weighting). Pooling replay data for UBM training	Continue replay detection (Change data set and Warping)
	Lantian Li	LRE on AP16-OL7. [1] 'StatisticsComponent' The effect of Vad / Padding. Replay detection. performance-driven based Freq-Weighting	LRE task. Freq-Warping and CNN-training.
	Zhiyuan Tang	A speech named 'Deep Learning in Speech Recognition' in Chengdu; Decoding with language mask seems helpless, not concluded.	use language mask in a proper way. prepare materials for paper accepted by TASLP.

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Date	People	Last Week	This Week
2016.11.21	Hang Luo	Explore the language recognition models including: Evaluate the model in the aspect of sentence and frame, find the accuracy is very high. Minimize the language model, train it single and joint with speech model, evaluate its result.	Continue doing the basic explore of joint training. Read paper about multi-language recognition models and others.
	Ying Shi	fighting with kazak speech recognition system:because the huge size of HCLG.fst the decoding job always make the sever done. There are several method I have tried change the size or word list and corpus this method not worked very well prune the LM .And the parameter been used to prune the LM is 2e-7 the size of LM reduce from 290M to 60M but the result about wer is very poor I have upload some result about several experiment to CVSS[2]	there are too much private affairs about myself so the job about visualization last week has been delayed I will try my best to finish it the week
	Yixiang Chen	Learn MFCC extraction mechanism. Read kaldi computer-feature code and find how to change MFCC. Frequency-weighting based feature extraction.	Continue replay detection (Freq-Weighting and Freq-Warping).
	Lantian Li	Joint-training on SRE and LRE (LRE task). [3] Tdnn is better than LSTM. LRE is a long-term task. Briefly overview Interspeech SRE-related papers. CSLT-Replay detection. Baseline done (Freq / Mel domain). performance-driven based Freq-Weighting and Freq-Warping --> Yixiang.	LRE task. Replay detection.
	Zhiyuan Tang	report for Weekly Reading (a brief review of interspeech16), just prepared; language scores as decoding mask (1.multiply probability, very bad; 2.add log-softmax, a little bad) training with mask failed	training with shared layers; explore single tasks.