“ASR Status Report 2017-9-11”版本间的差异

2017年9月11日 (一) 06:41的版本

Date	People	Last Week	This Week
2017.9.4	Jiayin Cai	Got phonetic feat from a stronger phonetic network Finished part of the experiment using stronger phonetic feature.	Will be absent for school. But I will finish the remaining experiment.
	Xiaofei Kang	improve the human Test website：, save the test recordings, decline the positive samples Recording and cutting the audios, a total of 12 groups	Recording the 440 groups audios left with zhangmiao Continue to ask people to do human test
	Miao Zhang	Perform human test Record some other people and do the experiments again	Continue to ask people to do human test Recording(the goal is to record 400 to 500 people) [[1]]
	Yanqing Wang	Absent
	Ying Shi	multi-decoding ASR model with more pdfs. Performance better than before but not well enough add sperate symbel to discriminated kazak and uyghur word set group-based softmax(in progress)	finish group-based softmax and test the performance
	Yixiang Chen	Absent
	Lantian Li	Go on speaker segmentation tasks, see here Complete the phonetic-aware speaker segmentation. Word-level boundaries from the ASR. Word-level d-vector and clustering.	Try some smooth tricks.
	Zhiyuan Tang

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 [2].	more indicators, a demo with Shuai. toolbook writing.

@@ 第73行： / 第73行： @@
 * 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]
 ** Complete the phonetic-aware speaker segmentation.
-** Word-level boundaries from the ASR.
+*** Word-level boundaries from the ASR.
-** Word-level d-vector and clustering.
+*** Word-level d-vector and clustering.
 ||
 * Try some smooth tricks.