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		<id>http://index.cslt.org/mediawiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Ningke</id>
		<title>cslt Wiki - 用户贡献 [zh-cn]</title>
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		<updated>2026-04-14T02:08:35Z</updated>
		<subtitle>用户贡献</subtitle>
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	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-24</id>
		<title>Ke Ning 2015-08-24</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-24"/>
				<updated>2015-08-31T06:21:01Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：以“== Last week == * using the new segmentation tool to do the phonetic notation and the result is much more better than before  == This week == * improving the searchi...”为内容创建页面&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Last week ==&lt;br /&gt;
* using the new segmentation tool to do the phonetic notation and the result is much more better than before&lt;br /&gt;
&lt;br /&gt;
== This week ==&lt;br /&gt;
* improving the searching struct to improve the rating&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-31</id>
		<title>Ke Ning 2015-08-31</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-31"/>
				<updated>2015-08-31T06:17:44Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：/* Last week */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Last week ==&lt;br /&gt;
* Generating transition matrix of phones&lt;br /&gt;
* Picking out the result of low rate for query: searching trees' are too deep&lt;br /&gt;
&lt;br /&gt;
== This week ==&lt;br /&gt;
* a week off&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-31</id>
		<title>Ke Ning 2015-08-31</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-31"/>
				<updated>2015-08-31T06:17:25Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：/* Last week */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Last week ==&lt;br /&gt;
* Generating transition matrix of phones&lt;br /&gt;
* Picking out the result of low rate for query: trees' are too deep&lt;br /&gt;
&lt;br /&gt;
== This week ==&lt;br /&gt;
* a week off&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-31</id>
		<title>Ke Ning 2015-08-31</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-31"/>
				<updated>2015-08-31T06:17:07Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：以“== Last week == * Generating transition matrix of phones * Picking out the result of low rate for query: trees' is too deep  == This week == * a week off”为内容创建页面&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Last week ==&lt;br /&gt;
* Generating transition matrix of phones&lt;br /&gt;
* Picking out the result of low rate for query: trees' is too deep&lt;br /&gt;
&lt;br /&gt;
== This week ==&lt;br /&gt;
* a week off&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/2015-08-31</id>
		<title>2015-08-31</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/2015-08-31"/>
				<updated>2015-08-31T06:16:56Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Jun Qi 2015-08-31]]&lt;br /&gt;
&lt;br /&gt;
[[Mengyuan Zhao 2015-08-31]]&lt;br /&gt;
&lt;br /&gt;
[[Tianyi Luo 2015-08-31]]&lt;br /&gt;
&lt;br /&gt;
[[Ke Ning 2015-08-31]]&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/2015-08-24</id>
		<title>2015-08-24</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/2015-08-24"/>
				<updated>2015-08-31T06:09:57Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Mengyuan Zhao 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Chao Xing 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Haichao Yu 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Zhiyuan Tang 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Hui Tang 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Zhiyong Zhang 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Tianyi Luo 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Xuewei Zhang 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Yang Yu 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Chaoyuan Zuo 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Xiaoxi Wang 2015-08-24]]&lt;br /&gt;
&lt;br /&gt;
[[Ke Ning 2015-08-24]]&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/%E6%96%87%E4%BB%B6:%E5%AE%81%E5%8F%AF_2015-08-21_2010_Bed-tree-_an_all-purpose_index_structure_for_string_similarity_search_based_on_edit_distance.pdf</id>
		<title>文件:宁可 2015-08-21 2010 Bed-tree- an all-purpose index structure for string similarity search based on edit distance.pdf</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/%E6%96%87%E4%BB%B6:%E5%AE%81%E5%8F%AF_2015-08-21_2010_Bed-tree-_an_all-purpose_index_structure_for_string_similarity_search_based_on_edit_distance.pdf"/>
				<updated>2015-08-21T06:25:37Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：Ningke上传“文件:宁可 2015-08-21 2010 Bed-tree- an all-purpose index structure for string similarity search based on edit distance.pdf”的新版本&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/Weekly_reading</id>
		<title>Weekly reading</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/Weekly_reading"/>
				<updated>2015-08-21T02:44:04Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;*[[Speech Group Reading|张之勇 2014-12-28 APSIPA paper reading]]&lt;br /&gt;
&lt;br /&gt;
*[http://www.jmlr.org/proceedings/papers/v32/graves14.pdf 刘超2015-03-11 Towards End-to-End Speech Recognition with Recurrent Neural Networks]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015 Building DNN Acoustic Models for Large Vocabulary Speech Recognition.pdf|汤志远2015-3-18 - Building DNN Acoustic Models for Large Vocabulary Speech Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:CONTRASTIVE AUTO-ENCODER FOR PHONEME RECOGNITION.pdf|林一叶2015-4-1 - CONTRASTIVE AUTO-ENCODER FOR PHONEME RECOGNITION]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2014 speech dereverberation using weighted prediction error with laplacian model of the designed signal.pdf|张雪薇2015-4-1 - speech dereverberation using weighted prediction error with laplacian model of the designed signal]]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/pdf/1312.6184v7.pdf 王东2015-4-1 - Do Deep Nets Really Need to be Deep?]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/pdf/1503.02531v1.pdf 王东2015-4-1 - Distilling the Knowledge in a Neural Network]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:Neural_Network_Acoustic_Models_with_Superviesed_Hidden_Layers_for_Automatic_Speech_Recognition.pdf|殷实2015-4-8 - Neural_Network_Acoustic_Models_with_Superviesed_Hidden_Layers_for_Automatic_Speech_Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:Ensemble_Deep_Learning_for_Speech_Recognition.pdf|赵梦原2015-4-8 - Ensemble_Deep_Learning_for_Speech_Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:An evaluation of target speech for a nonaudible murmur enhancement system in noisy enviroment.pdf|曾翔宇2015-3-11 - An evaluation of target speech for a nonaudible murmur enhancement system in noisy enviroment]]&lt;br /&gt;
&lt;br /&gt;
*[http://www.kecl.ntt.co.jp/icl/signal/hori/publications/thori_icassp2014.pdf 刘超2015-04-14 Real-time one-pass decoding with recurrent neural network language model for speech recognition]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2014 Reshaping deep neural network for fast decoding by node-pruning.pdf|汤志远 2015-04-29 Reshaping deep neural network for fast decoding by node-pruning]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:06843244.pdf|张雪薇2015-4-29 SPEECH DEREVERBERATION WITH MULTI-CHANNEL LINEAR PREDICTION AND SPARSE PRIORS FOR THE DESIRED SIGNAL]] &lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:0000096.pdf|张雪薇2015-4-29 MULTI-CHANNEL LINEAR PREDICTION-BASED SPEECH DEREVERBERATION WITH LOW-RANK POWER SPECTROGRAM APPROXIMATION]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:0000096.pdf|张之勇2015-5-6 On the importance of initialization and momentum in deep learning.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:ICASSP.rar|张雪薇2015-5-20 ICASSP_dereveration]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:ICASSP Selected Readings.rar|汤志远2015-5-27 ICASSP selected readings]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015_Submodular data selection with acoustic and phonetic features for automatic speech recognition.pdf|张之勇2015-6-24 2015_Submodular data selection with acoustic and phonetic features for automatic speech recognition.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:SPEECH DEREVERBERATION USING A LEARNED SPEECH MODEL.pdf|张雪薇2015-7-1 SPEECH DEREVERBERATION USING A LEARNED SPEECH MODEL.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1504.01482 汤志远2015-7-8 Deep Recurrent Neural Networks for Acoustic Modelling]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1503.04069 汤志远2015-7-8 LSTM: A Search Space Odyssey]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1507.01526 汤志远2015-7-8 Grid Long Short-Term Memory]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1506.02078 汤志远2015-7-8 Visualizing and Understanding Recurrent Networks]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:annealed_dropout_trained_maxout_networks_for_improved_lvcsr.pdf|赵梦原2015-7-8 Annealed Dropout_trained Maxout Networks for Improved LVCSR]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:automatic_pronunciation_verification_for_speech_recognition.pdf|赵梦原2015-7-8 Automatic Pronunciation Verification for Speech Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015_Frame-by-frame_language_identification_in_short_utterances_using_deep_neural_networks.pdf|张雪薇2015-7-16 2015_Frame-by-frame_language_identification_in_short_utterances_using_deep_neural_networks]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:SEQUENCE_CLASSIFICATION_USING_THE_HIGH-LEVEL_FEATURES_EXTRACTED_.pdf|张雪薇2015-7-16 SEQUENCE_CLASSIFICATION_USING_THE_HIGH-LEVEL_FEATURES_EXTRACTED]]&lt;br /&gt;
&lt;br /&gt;
*[http://www.pamitc.org/cvpr15/files/lecun-20150610-cvpr-keynote.pdf 王东2015-7-22 What is Wrong with Deep Learning (Yann Lecun at CVPR 2015)]&lt;br /&gt;
&lt;br /&gt;
*[http://videolectures.net/icml09_bengio_lecun_tldar/ 王东2015-7-22 A tutorial from Bengio and Lecun]&lt;br /&gt;
&lt;br /&gt;
*[[asr-read-icml|王东2015-7-22 ICML 2015 reading list]]&lt;br /&gt;
&lt;br /&gt;
*[http://jmlr.org/proceedings/papers/v37/ioffe15.pdf 王东2015-7-22 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift]&lt;br /&gt;
&lt;br /&gt;
*[http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl 王东2015-7-24 No initial learning rate anymore]&lt;br /&gt;
&lt;br /&gt;
*[http://jmlr.org/proceedings/papers/v37/long15.pdf 王东2015-7-29 Learning Transferable Features with Deep Adaptation Networks]&lt;br /&gt;
&lt;br /&gt;
*[https://personalrobotics.ri.cmu.edu/courses/papers/Amari1998a.pdf 王东2015-7-29 Natural Gradient Works Efficiently in Learning]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1206.5533 王东2015-7-29 Practical Recommendations for Gradient-Based Training of Deep Architectures]&lt;br /&gt;
&lt;br /&gt;
*[http://link.springer.com/chapter/10.1007%2F978-3-642-35289-8_3 王东2015-7-29 Efficient Backprop]&lt;br /&gt;
*[[媒体文件:2015_Batch normalization Accelerating deep network training by reducing internal covariate shift.pdf|张之勇2015-7-31 2015_Batch normalization Accelerating deep network training by reducing internal covariate shift.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:A_time_delay_neural_network_architecture_for_efficient_modeling_of_long_temporal_contexts.pdf|赵梦原2015-7-29 A time delay neural network architecture for efficient modeling of long temporal contexts.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:1-s2.0-S0885230814000114-main.pdf|张雪薇2015-8-05 Feature enhancement by deep LSTM networks for ASRin reverberant multisource environments]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:Recurrent Neural Networks for Noise Reduction in Robust ASR.pdf|张雪薇2015-8-05 Recurrent Neural Networks for Noise Reduction in Robust ASR]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015 Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition.pdf|汤志远 2015-8-05 Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:CUDA_C_Programming_Guide.pdf|苏圣 2015-8-012 CUDA_C_Programming_Guide.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:CUBLAS_Library.pdf|苏圣 2015-8-012 CUBLAS_Library.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015_Deep learning with Elastic Averaging SGD.pdf|张之勇 2015-08-12 2015_Deep learning with Elastic Averaging SGD.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:宁可_2015-08-21_2010_Bed-tree-_an_all-purpose_index_structure_for_string_similarity_search_based_on_edit_distance.pdf |宁可 2015-08-21 2010_Bed-tree: an all-purpose index structure for string similarity search based on edit distance.pdf]]&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/%E6%96%87%E4%BB%B6:%E5%AE%81%E5%8F%AF_2015-08-21_2010_Bed-tree-_an_all-purpose_index_structure_for_string_similarity_search_based_on_edit_distance.pdf</id>
		<title>文件:宁可 2015-08-21 2010 Bed-tree- an all-purpose index structure for string similarity search based on edit distance.pdf</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/%E6%96%87%E4%BB%B6:%E5%AE%81%E5%8F%AF_2015-08-21_2010_Bed-tree-_an_all-purpose_index_structure_for_string_similarity_search_based_on_edit_distance.pdf"/>
				<updated>2015-08-21T02:42:17Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：Ningke上传“文件:宁可 2015-08-21 2010 Bed-tree- an all-purpose index structure for string similarity search based on edit distance.pdf”的新版本&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/%E6%96%87%E4%BB%B6:%E5%AE%81%E5%8F%AF_2015-08-21_2010_Bed-tree-_an_all-purpose_index_structure_for_string_similarity_search_based_on_edit_distance.pdf</id>
		<title>文件:宁可 2015-08-21 2010 Bed-tree- an all-purpose index structure for string similarity search based on edit distance.pdf</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/%E6%96%87%E4%BB%B6:%E5%AE%81%E5%8F%AF_2015-08-21_2010_Bed-tree-_an_all-purpose_index_structure_for_string_similarity_search_based_on_edit_distance.pdf"/>
				<updated>2015-08-21T02:41:24Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/Weekly_reading</id>
		<title>Weekly reading</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/Weekly_reading"/>
				<updated>2015-08-21T02:40:38Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;*[[Speech Group Reading|张之勇 2014-12-28 APSIPA paper reading]]&lt;br /&gt;
&lt;br /&gt;
*[http://www.jmlr.org/proceedings/papers/v32/graves14.pdf 刘超2015-03-11 Towards End-to-End Speech Recognition with Recurrent Neural Networks]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015 Building DNN Acoustic Models for Large Vocabulary Speech Recognition.pdf|汤志远2015-3-18 - Building DNN Acoustic Models for Large Vocabulary Speech Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:CONTRASTIVE AUTO-ENCODER FOR PHONEME RECOGNITION.pdf|林一叶2015-4-1 - CONTRASTIVE AUTO-ENCODER FOR PHONEME RECOGNITION]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2014 speech dereverberation using weighted prediction error with laplacian model of the designed signal.pdf|张雪薇2015-4-1 - speech dereverberation using weighted prediction error with laplacian model of the designed signal]]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/pdf/1312.6184v7.pdf 王东2015-4-1 - Do Deep Nets Really Need to be Deep?]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/pdf/1503.02531v1.pdf 王东2015-4-1 - Distilling the Knowledge in a Neural Network]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:Neural_Network_Acoustic_Models_with_Superviesed_Hidden_Layers_for_Automatic_Speech_Recognition.pdf|殷实2015-4-8 - Neural_Network_Acoustic_Models_with_Superviesed_Hidden_Layers_for_Automatic_Speech_Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:Ensemble_Deep_Learning_for_Speech_Recognition.pdf|赵梦原2015-4-8 - Ensemble_Deep_Learning_for_Speech_Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:An evaluation of target speech for a nonaudible murmur enhancement system in noisy enviroment.pdf|曾翔宇2015-3-11 - An evaluation of target speech for a nonaudible murmur enhancement system in noisy enviroment]]&lt;br /&gt;
&lt;br /&gt;
*[http://www.kecl.ntt.co.jp/icl/signal/hori/publications/thori_icassp2014.pdf 刘超2015-04-14 Real-time one-pass decoding with recurrent neural network language model for speech recognition]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2014 Reshaping deep neural network for fast decoding by node-pruning.pdf|汤志远 2015-04-29 Reshaping deep neural network for fast decoding by node-pruning]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:06843244.pdf|张雪薇2015-4-29 SPEECH DEREVERBERATION WITH MULTI-CHANNEL LINEAR PREDICTION AND SPARSE PRIORS FOR THE DESIRED SIGNAL]] &lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:0000096.pdf|张雪薇2015-4-29 MULTI-CHANNEL LINEAR PREDICTION-BASED SPEECH DEREVERBERATION WITH LOW-RANK POWER SPECTROGRAM APPROXIMATION]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:0000096.pdf|张之勇2015-5-6 On the importance of initialization and momentum in deep learning.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:ICASSP.rar|张雪薇2015-5-20 ICASSP_dereveration]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:ICASSP Selected Readings.rar|汤志远2015-5-27 ICASSP selected readings]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015_Submodular data selection with acoustic and phonetic features for automatic speech recognition.pdf|张之勇2015-6-24 2015_Submodular data selection with acoustic and phonetic features for automatic speech recognition.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:SPEECH DEREVERBERATION USING A LEARNED SPEECH MODEL.pdf|张雪薇2015-7-1 SPEECH DEREVERBERATION USING A LEARNED SPEECH MODEL.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1504.01482 汤志远2015-7-8 Deep Recurrent Neural Networks for Acoustic Modelling]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1503.04069 汤志远2015-7-8 LSTM: A Search Space Odyssey]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1507.01526 汤志远2015-7-8 Grid Long Short-Term Memory]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1506.02078 汤志远2015-7-8 Visualizing and Understanding Recurrent Networks]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:annealed_dropout_trained_maxout_networks_for_improved_lvcsr.pdf|赵梦原2015-7-8 Annealed Dropout_trained Maxout Networks for Improved LVCSR]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:automatic_pronunciation_verification_for_speech_recognition.pdf|赵梦原2015-7-8 Automatic Pronunciation Verification for Speech Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015_Frame-by-frame_language_identification_in_short_utterances_using_deep_neural_networks.pdf|张雪薇2015-7-16 2015_Frame-by-frame_language_identification_in_short_utterances_using_deep_neural_networks]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:SEQUENCE_CLASSIFICATION_USING_THE_HIGH-LEVEL_FEATURES_EXTRACTED_.pdf|张雪薇2015-7-16 SEQUENCE_CLASSIFICATION_USING_THE_HIGH-LEVEL_FEATURES_EXTRACTED]]&lt;br /&gt;
&lt;br /&gt;
*[http://www.pamitc.org/cvpr15/files/lecun-20150610-cvpr-keynote.pdf 王东2015-7-22 What is Wrong with Deep Learning (Yann Lecun at CVPR 2015)]&lt;br /&gt;
&lt;br /&gt;
*[http://videolectures.net/icml09_bengio_lecun_tldar/ 王东2015-7-22 A tutorial from Bengio and Lecun]&lt;br /&gt;
&lt;br /&gt;
*[[asr-read-icml|王东2015-7-22 ICML 2015 reading list]]&lt;br /&gt;
&lt;br /&gt;
*[http://jmlr.org/proceedings/papers/v37/ioffe15.pdf 王东2015-7-22 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift]&lt;br /&gt;
&lt;br /&gt;
*[http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl 王东2015-7-24 No initial learning rate anymore]&lt;br /&gt;
&lt;br /&gt;
*[http://jmlr.org/proceedings/papers/v37/long15.pdf 王东2015-7-29 Learning Transferable Features with Deep Adaptation Networks]&lt;br /&gt;
&lt;br /&gt;
*[https://personalrobotics.ri.cmu.edu/courses/papers/Amari1998a.pdf 王东2015-7-29 Natural Gradient Works Efficiently in Learning]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1206.5533 王东2015-7-29 Practical Recommendations for Gradient-Based Training of Deep Architectures]&lt;br /&gt;
&lt;br /&gt;
*[http://link.springer.com/chapter/10.1007%2F978-3-642-35289-8_3 王东2015-7-29 Efficient Backprop]&lt;br /&gt;
*[[媒体文件:2015_Batch normalization Accelerating deep network training by reducing internal covariate shift.pdf|张之勇2015-7-31 2015_Batch normalization Accelerating deep network training by reducing internal covariate shift.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:A_time_delay_neural_network_architecture_for_efficient_modeling_of_long_temporal_contexts.pdf|赵梦原2015-7-29 A time delay neural network architecture for efficient modeling of long temporal contexts.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:1-s2.0-S0885230814000114-main.pdf|张雪薇2015-8-05 Feature enhancement by deep LSTM networks for ASRin reverberant multisource environments]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:Recurrent Neural Networks for Noise Reduction in Robust ASR.pdf|张雪薇2015-8-05 Recurrent Neural Networks for Noise Reduction in Robust ASR]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015 Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition.pdf|汤志远 2015-8-05 Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:CUDA_C_Programming_Guide.pdf|苏圣 2015-8-012 CUDA_C_Programming_Guide.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:CUBLAS_Library.pdf|苏圣 2015-8-012 CUBLAS_Library.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015_Deep learning with Elastic Averaging SGD.pdf|张之勇 2015-08-12 2015_Deep learning with Elastic Averaging SGD.pdf]]&lt;br /&gt;
&lt;br /&gt;
[[媒体文件:宁可 2015-08-21 2010_Bed-tree: an all-purpose index structure for string similarity search based on edit distance]]&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/Weekly_reading</id>
		<title>Weekly reading</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/Weekly_reading"/>
				<updated>2015-08-21T02:39:57Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;*[[Speech Group Reading|张之勇 2014-12-28 APSIPA paper reading]]&lt;br /&gt;
&lt;br /&gt;
*[http://www.jmlr.org/proceedings/papers/v32/graves14.pdf 刘超2015-03-11 Towards End-to-End Speech Recognition with Recurrent Neural Networks]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015 Building DNN Acoustic Models for Large Vocabulary Speech Recognition.pdf|汤志远2015-3-18 - Building DNN Acoustic Models for Large Vocabulary Speech Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:CONTRASTIVE AUTO-ENCODER FOR PHONEME RECOGNITION.pdf|林一叶2015-4-1 - CONTRASTIVE AUTO-ENCODER FOR PHONEME RECOGNITION]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2014 speech dereverberation using weighted prediction error with laplacian model of the designed signal.pdf|张雪薇2015-4-1 - speech dereverberation using weighted prediction error with laplacian model of the designed signal]]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/pdf/1312.6184v7.pdf 王东2015-4-1 - Do Deep Nets Really Need to be Deep?]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/pdf/1503.02531v1.pdf 王东2015-4-1 - Distilling the Knowledge in a Neural Network]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:Neural_Network_Acoustic_Models_with_Superviesed_Hidden_Layers_for_Automatic_Speech_Recognition.pdf|殷实2015-4-8 - Neural_Network_Acoustic_Models_with_Superviesed_Hidden_Layers_for_Automatic_Speech_Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:Ensemble_Deep_Learning_for_Speech_Recognition.pdf|赵梦原2015-4-8 - Ensemble_Deep_Learning_for_Speech_Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:An evaluation of target speech for a nonaudible murmur enhancement system in noisy enviroment.pdf|曾翔宇2015-3-11 - An evaluation of target speech for a nonaudible murmur enhancement system in noisy enviroment]]&lt;br /&gt;
&lt;br /&gt;
*[http://www.kecl.ntt.co.jp/icl/signal/hori/publications/thori_icassp2014.pdf 刘超2015-04-14 Real-time one-pass decoding with recurrent neural network language model for speech recognition]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2014 Reshaping deep neural network for fast decoding by node-pruning.pdf|汤志远 2015-04-29 Reshaping deep neural network for fast decoding by node-pruning]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:06843244.pdf|张雪薇2015-4-29 SPEECH DEREVERBERATION WITH MULTI-CHANNEL LINEAR PREDICTION AND SPARSE PRIORS FOR THE DESIRED SIGNAL]] &lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:0000096.pdf|张雪薇2015-4-29 MULTI-CHANNEL LINEAR PREDICTION-BASED SPEECH DEREVERBERATION WITH LOW-RANK POWER SPECTROGRAM APPROXIMATION]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:0000096.pdf|张之勇2015-5-6 On the importance of initialization and momentum in deep learning.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:ICASSP.rar|张雪薇2015-5-20 ICASSP_dereveration]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:ICASSP Selected Readings.rar|汤志远2015-5-27 ICASSP selected readings]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015_Submodular data selection with acoustic and phonetic features for automatic speech recognition.pdf|张之勇2015-6-24 2015_Submodular data selection with acoustic and phonetic features for automatic speech recognition.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:SPEECH DEREVERBERATION USING A LEARNED SPEECH MODEL.pdf|张雪薇2015-7-1 SPEECH DEREVERBERATION USING A LEARNED SPEECH MODEL.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1504.01482 汤志远2015-7-8 Deep Recurrent Neural Networks for Acoustic Modelling]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1503.04069 汤志远2015-7-8 LSTM: A Search Space Odyssey]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1507.01526 汤志远2015-7-8 Grid Long Short-Term Memory]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1506.02078 汤志远2015-7-8 Visualizing and Understanding Recurrent Networks]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:annealed_dropout_trained_maxout_networks_for_improved_lvcsr.pdf|赵梦原2015-7-8 Annealed Dropout_trained Maxout Networks for Improved LVCSR]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:automatic_pronunciation_verification_for_speech_recognition.pdf|赵梦原2015-7-8 Automatic Pronunciation Verification for Speech Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015_Frame-by-frame_language_identification_in_short_utterances_using_deep_neural_networks.pdf|张雪薇2015-7-16 2015_Frame-by-frame_language_identification_in_short_utterances_using_deep_neural_networks]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:SEQUENCE_CLASSIFICATION_USING_THE_HIGH-LEVEL_FEATURES_EXTRACTED_.pdf|张雪薇2015-7-16 SEQUENCE_CLASSIFICATION_USING_THE_HIGH-LEVEL_FEATURES_EXTRACTED]]&lt;br /&gt;
&lt;br /&gt;
*[http://www.pamitc.org/cvpr15/files/lecun-20150610-cvpr-keynote.pdf 王东2015-7-22 What is Wrong with Deep Learning (Yann Lecun at CVPR 2015)]&lt;br /&gt;
&lt;br /&gt;
*[http://videolectures.net/icml09_bengio_lecun_tldar/ 王东2015-7-22 A tutorial from Bengio and Lecun]&lt;br /&gt;
&lt;br /&gt;
*[[asr-read-icml|王东2015-7-22 ICML 2015 reading list]]&lt;br /&gt;
&lt;br /&gt;
*[http://jmlr.org/proceedings/papers/v37/ioffe15.pdf 王东2015-7-22 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift]&lt;br /&gt;
&lt;br /&gt;
*[http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl 王东2015-7-24 No initial learning rate anymore]&lt;br /&gt;
&lt;br /&gt;
*[http://jmlr.org/proceedings/papers/v37/long15.pdf 王东2015-7-29 Learning Transferable Features with Deep Adaptation Networks]&lt;br /&gt;
&lt;br /&gt;
*[https://personalrobotics.ri.cmu.edu/courses/papers/Amari1998a.pdf 王东2015-7-29 Natural Gradient Works Efficiently in Learning]&lt;br /&gt;
&lt;br /&gt;
*[http://arxiv.org/abs/1206.5533 王东2015-7-29 Practical Recommendations for Gradient-Based Training of Deep Architectures]&lt;br /&gt;
&lt;br /&gt;
*[http://link.springer.com/chapter/10.1007%2F978-3-642-35289-8_3 王东2015-7-29 Efficient Backprop]&lt;br /&gt;
*[[媒体文件:2015_Batch normalization Accelerating deep network training by reducing internal covariate shift.pdf|张之勇2015-7-31 2015_Batch normalization Accelerating deep network training by reducing internal covariate shift.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:A_time_delay_neural_network_architecture_for_efficient_modeling_of_long_temporal_contexts.pdf|赵梦原2015-7-29 A time delay neural network architecture for efficient modeling of long temporal contexts.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:1-s2.0-S0885230814000114-main.pdf|张雪薇2015-8-05 Feature enhancement by deep LSTM networks for ASRin reverberant multisource environments]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:Recurrent Neural Networks for Noise Reduction in Robust ASR.pdf|张雪薇2015-8-05 Recurrent Neural Networks for Noise Reduction in Robust ASR]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015 Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition.pdf|汤志远 2015-8-05 Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:CUDA_C_Programming_Guide.pdf|苏圣 2015-8-012 CUDA_C_Programming_Guide.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:CUBLAS_Library.pdf|苏圣 2015-8-012 CUBLAS_Library.pdf]]&lt;br /&gt;
&lt;br /&gt;
*[[媒体文件:2015_Deep learning with Elastic Averaging SGD.pdf|张之勇 2015-08-12 2015_Deep learning with Elastic Averaging SGD.pdf]]&lt;br /&gt;
&lt;br /&gt;
宁可 2015-08-21 2010_Bed-tree: an all-purpose index structure for string similarity search based on edit distance&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-17</id>
		<title>Ke Ning 2015-08-17</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/Ke_Ning_2015-08-17"/>
				<updated>2015-08-18T01:48:39Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：以“ == Last week == * Basically writing the whole codes for data struct and algorithm of BK tree and edit distance  == This week == * Attempt for improving the collecti...”为内容创建页面&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== Last week ==&lt;br /&gt;
* Basically writing the whole codes for data struct and algorithm of BK tree and edit distance&lt;br /&gt;
&lt;br /&gt;
== This week ==&lt;br /&gt;
* Attempt for improving the collection result of recognization of post name&lt;br /&gt;
* Establishing the root BK tree for every child BK tree to accelerate its query&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	<entry>
		<id>http://index.cslt.org/mediawiki/index.php/2015-08-17</id>
		<title>2015-08-17</title>
		<link rel="alternate" type="text/html" href="http://index.cslt.org/mediawiki/index.php/2015-08-17"/>
				<updated>2015-08-18T01:40:29Z</updated>
		
		<summary type="html">&lt;p&gt;Ningke：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Tianyi Luo 2015-08-17]]&lt;br /&gt;
&lt;br /&gt;
[[Mengyuan Zhao 2015-08-17]]&lt;br /&gt;
&lt;br /&gt;
[[Chao Xing 2015-08-17]]&lt;br /&gt;
&lt;br /&gt;
[[Sheng Su 2015-08-17]]&lt;br /&gt;
&lt;br /&gt;
[[Zhiyuan Tang 2015-08-17]]&lt;br /&gt;
&lt;br /&gt;
[[Xiaoxi Wang 2015-08-17]]&lt;br /&gt;
&lt;br /&gt;
[[Xuewei Zhang2015-08-17]]&lt;br /&gt;
&lt;br /&gt;
[[Zhiyong Zhang 2015-08-17]]&lt;br /&gt;
&lt;br /&gt;
[[Rong Liu 2015-08-17]]&lt;br /&gt;
&lt;br /&gt;
[[Ke Ning 2015-08-17]]&lt;/div&gt;</summary>
		<author><name>Ningke</name></author>	</entry>

	</feed>