ASR Status Report 2018-1-2

Date	People	Last Week	This Week	Task Tracking
2018.1.2
	Miao Zhang
	Ying Shi
	Lantian Li	Commercial deep speaker model training. [1] Phone-aware scoring on deep speaker feature. [2] Phonetic speaker embedding. [3] Overlap training for speaker features. [4]	Commercial deep speaker model training. Phone-aware scoring on deep speaker feature. Phonetic speaker embedding. Overlap training for speaker features.
	Zhiyuan Tang	A brief survey on oral language evaluation, both on application and algorithm	A test version of Parrot Patent of Parrot

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Date	People	Last Week	This Week	Task Tracking
2017.12.25
	Miao Zhang		Read the 16k model script The cough recognition codes left by Xiaofei	check the trivial database, make it more reasonable test the 16k model on the database
	Ying Shi	some function for voice-printer speaker vector per utterance here speaker vector minus base speaker vector here CTC for Haibo Wang (Token accuracy on train set 92.80%, on cv set 89.74%) haven't test on test set QRcode speaker vector merge phone grayscale here speaker vector merge phone black-and-white map here speaker vector merge phone black-and-white map minus base vector here ivector baseline for kazak-uyghur LRE performance is 81.85% (Utt level)	Finish voice-checker copyright and submit the copyright in this Wednesday
	Lantian Li	Complete the recipe for `VV_FACTOR`. 16K and 8K deep speaker model comparison.[5]	Patent for `VV_QuickMark`. Complete the demo for `VV_FACTOR`.[Assign to Shouyi Dai] Phonetic speaker embedding. Overlap training for speaker features.
	Zhiyuan Tang	word level pronunciation accuracy based on likelihood (tell which word is well pronounced as '0' or badly pronounced '1')	model adaptation if possible, an alpha version Parrot for test inside lab to collect some data for better configurature