“ASR Status Report 2017-9-4”版本间的差异

2017年9月4日 (一) 05:22的最后版本

Date	People	Last Week	This Week
2017.9.4	Jiayin Cai	Finished the phonetic i-vector experiment.	get BN feature and train i-vector LID. Get phonetic feat from a stronger phonetic network combine PTN and phonetic i-vector.
	Xiaofei Kang	cutting audio and marking：21 speakers，a total of 1050 sentences Finish the new speaker recognition using the two recordings.	improve the human Test website
	Miao Zhang	Absent	Perform human test on 21-style speech(add the disguise) Draw spectrums and t-SNE plots compared with experiment results
	Yanqing Wang	Absent.
	Ying Shi	multi decodeing ASR model multi decodeing with fake Lid here read code about TTS	employ group softmax to train multi decoding ASR model synthesis one 'real' speech
	Yixiang Chen	Absent.
	Lantian Li	Go on speaker segmentation tasks, see here Dimensionality reduction. Clustering. Visualization.	Phonetic-aware speaker segmentation.
	Zhiyuan Tang	more indicators for VV scoring system, see [1].	more indicators, a demo with Shuai. toolbook writing.

Date	People	Last Week	This Week
2017.8.21	Xiaofei Kang	Recording new audios from 38 person, located in /work7/tanghui/kangxf/workspaces/speaker/wavdata/V2.0 Improve the test website to judge before committing	Test the new recording。
	Miao Zhang
	Yanqing Wang	pruning the connections and refining, results	Absent.
	Ying Shi	check toolkit code multilingual baseline system	train language id model use Lid to do multi-decoding some experiments for zhiyong zhang about TTS
	Yixiang Chen
	Lantian Li	Attend IS2017.	Go on speaker segmentation tasks.
	Zhiyuan Tang	several indicators for VV scoring system, see [2].	more indicators, a demo with Shuai. toolbook writing.

@@ 第9行： / 第9行： @@
 *Finished the phonetic i-vector experiment.
 ||
+*get BN feature and train i-vector LID.
+*Get phonetic feat from a stronger phonetic network
 *combine PTN and phonetic i-vector.
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@@ 第16行： / 第18行： @@
 |Xiaofei Kang
 ||
-*
+* cutting audio and marking：21 speakers，a total of 1050 sentences
+* Finish the new speaker recognition using the two recordings.
 ||
-*
+* improve the human Test website
 |-
@@ 第28行： / 第31行： @@
 ||
 * Perform human test on 21-style speech(add the disguise)
-* Draw t-SNE plots compared with experiment results
+* Draw spectrums and t-SNE plots compared with experiment results
 |-
@@ 第65行： / 第68行： @@
 |Lantian Li
 ||
-*
+* Go on speaker segmentation tasks, see [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=lilt&step=view_request&cvssid=615 here]
+** Dimensionality reduction.
+** Clustering.
+** Visualization.
 ||
-*
+* Phonetic-aware speaker segmentation.
 |-