2016年2月28日 (日) 04:36 Tangzy

2016-02-28T04:36:50Z

Tangzy：以“ 张之勇 2014-12-28 APSIPA paper reading [http://www.jmlr.org/proceedings/papers/v32/graves14.pdf 刘超2015-03-11 Towards End-to-End S...”为内容创建页面

2016-02-16T02:57:08Z

以“ *张之勇 2014-12-28 APSIPA paper reading *[http://www.jmlr.org/proceedings/papers/v32/graves14.pdf 刘超2015-03-11 Towards End-to-End S...”为内容创建页面

新页面

*[[Speech Group Reading|张之勇 2014-12-28 APSIPA paper reading]]

*[http://www.jmlr.org/proceedings/papers/v32/graves14.pdf 刘超2015-03-11 Towards End-to-End Speech Recognition with Recurrent Neural Networks]

*[[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]]

*[[媒体文件:CONTRASTIVE AUTO-ENCODER FOR PHONEME RECOGNITION.pdf|林一叶2015-4-1 - CONTRASTIVE AUTO-ENCODER FOR PHONEME RECOGNITION]]

*[[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]]

*[http://arxiv.org/pdf/1312.6184v7.pdf 王东2015-4-1 - Do Deep Nets Really Need to be Deep?]

*[http://arxiv.org/pdf/1503.02531v1.pdf 王东2015-4-1 - Distilling the Knowledge in a Neural Network]

*[[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]]

*[[媒体文件:Ensemble_Deep_Learning_for_Speech_Recognition.pdf|赵梦原2015-4-8 - Ensemble_Deep_Learning_for_Speech_Recognition]]

*[[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]]

*[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]

*[[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]]

*[[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]]

*[[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]]

*[[媒体文件:0000096.pdf|张之勇2015-5-6 On the importance of initialization and momentum in deep learning.pdf]]

*[[媒体文件:ICASSP.rar|张雪薇2015-5-20 ICASSP_dereveration]]

*[[媒体文件:ICASSP Selected Readings.rar|汤志远2015-5-27 ICASSP selected readings]]

*[[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]]

*[[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]]

*[http://arxiv.org/abs/1504.01482 汤志远2015-7-8 Deep Recurrent Neural Networks for Acoustic Modelling]

*[http://arxiv.org/abs/1503.04069 汤志远2015-7-8 LSTM: A Search Space Odyssey]

*[http://arxiv.org/abs/1507.01526 汤志远2015-7-8 Grid Long Short-Term Memory]

*[http://arxiv.org/abs/1506.02078 汤志远2015-7-8 Visualizing and Understanding Recurrent Networks]

*[[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]]

*[[媒体文件:automatic_pronunciation_verification_for_speech_recognition.pdf|赵梦原2015-7-8 Automatic Pronunciation Verification for Speech Recognition]]

*[[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]]

*[[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]]

*[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)]

*[http://videolectures.net/icml09_bengio_lecun_tldar/ 王东2015-7-22 A tutorial from Bengio and Lecun]

*[[asr-read-icml|王东2015-7-22 ICML 2015 reading list]]

*[http://jmlr.org/proceedings/papers/v37/ioffe15.pdf 王东2015-7-22 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift]

*[http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl 王东2015-7-24 No initial learning rate anymore]

*[http://jmlr.org/proceedings/papers/v37/long15.pdf 王东2015-7-29 Learning Transferable Features with Deep Adaptation Networks]

*[https://personalrobotics.ri.cmu.edu/courses/papers/Amari1998a.pdf 王东2015-7-29 Natural Gradient Works Efficiently in Learning]

*[http://arxiv.org/abs/1206.5533 王东2015-7-29 Practical Recommendations for Gradient-Based Training of Deep Architectures]

*[http://link.springer.com/chapter/10.1007%2F978-3-642-35289-8_3 王东2015-7-29 Efficient Backprop]
*[[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]]

*[[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]]

*[[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]]

*[[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]]

*[[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]]

*[[媒体文件:CUDA_C_Programming_Guide.pdf|苏圣 2015-8-012 CUDA_C_Programming_Guide.pdf]]

*[[媒体文件:CUBLAS_Library.pdf|苏圣 2015-8-012 CUBLAS_Library.pdf]]

*[[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]]

*[[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]]

*[[媒体文件:2015_ADAM-A method for stochastic optimization.pdf|张之勇 2015-08-21 2015_ADAM-A method for stochastic optimization.pdf]]

*[[媒体文件:2015 Transitive Transfer Learning.pdf|汤志远 2015-8-26 Transitive Transfer Learning]]

*[[媒体文件:2015 Supervised Transfer Sparse Coding.pdf|汤志远 2015-8-26 Supervised Transfer Sparse Coding]]

*[[媒体文件:2015_EESEN-End-to-end speech recognition using deep rnn models and WFST-based decoding.pdf|张之勇 2015-8-26 2015_EESEN-End-to-end speech recognition using deep rnn models and WFST-based decoding.pdf]]

*[[媒体文件:2015_Dither is better than dropout for regularising deep neural networks.pdf|张之勇 2015-8-26 2015_Dither is better than dropout for regularising deep neural networks.pdf]]

*[[媒体文件:Context_Adaptive_Deep_Neural_Networks_for_Fast_Acoustic_Model_Adaptation.pdf|赵梦原 2015-9-2 Context Adaptive Deep Neural Networks for Fast Acoustic Model Adaptation.pdf]]

*[[媒体文件:COMBINATION OF TWO-DIMENSIONAL COCHLEOGRAM AND SPECTROGRAM.pdf|张雪薇2015-9-02 COMBINATION OF TWO-DIMENSIONAL COCHLEOGRAM AND SPECTROGRAM FEATURES FOR DEEP LEARNING-BASED ASR.pdf]]

*[[媒体文件:DEEP RECURRENT REGULARIZATION NEURAL NETWORK.pdf|张雪薇2015-9-02 DEEP RECURRENT REGULARIZATION NEURAL NETWORK FOR SPEECH RECOGNITION.pdf]]

*[[媒体文件:DNN ACOUSTIC MODELS WITH.pdf|张雪薇2015-9-02 REGULARIZING DNN ACOUSTIC MODELS WITH GAUSSIAN STOCHASTIC NEURONS.pdf]]

*[[媒体文件:Telephony_Text-Prompted_Speaker_Verification_Using_i-vector_Representation.pdf|李蓝天2015-9-02 Telephony_Text-Prompted_Speaker_Verification_Using_i-vector_Representation.pdf]]

*[[媒体文件:Deep Neural Networks for Cochannel Speaker Identification.pdf|李蓝天2015-9-02 Deep Neural Networks for Cochannel Speaker Identification.pdf]]

*[[媒体文件:2015 A Neural Algorithm of Artistic Style.pdf|汤志远 2015-9-02 A Neural Algorithm of Artistic Style]]

*[[媒体文件:2007_A hybrid particle swarm optimization–back-propagation algorithm for feedforward neural network training.pdf|张之勇 2015-09-09 2007_A hybrid particle swarm optimization–back-propagation algorithm for feedforward neural network training.pdf]]

*[[媒体文件:without gmm.pdf|曾翔宇 2015-09-09 without gmm.pdf]]

*[[媒体文件:Parameterised_Sigmoid_and_ReLU_Hidden_Activation_Functions_for_DNN_Acoustic_Modelling.pdf|赵梦原 2015-9-16 Parameterised Sigmoid and ReLU Hidden Activation Functions for DNN Acoustic Modelling.pdf]]

*[[媒体文件:An End-to-end Approach to Language Identification in Short Utterances using.pdf |张雪薇2015-9-16 An End-to-end Approach to Language Identification in Short Utterances using Convolutional Neural Networks.pdf]]

*[[媒体文件:2015 Dropout as data augmentation.pdf|汤志远 2015-9-16 2015 Dropout as data augmentation]]

*[[媒体文件:Noise Embeddings for Robust Speech Recognition.png|汤志远 2015-9-16 Noise Embeddings for Robust Speech Recognition]]

*[[媒体文件:2015_End-to-End attention-based large vocabulary speech recognition.pdf|张之勇 2015-9-23 2015_End-to-End attention-based large vocabulary speech recognition.pdf]]

*[[媒体文件:Interspeech15.rar|汤志远 2015-10-22 Interspeech15]]

*[[媒体文件:DNNs_in_speaker_recognition.rar|李蓝天 2015-11-05 Interspeech15-DNNs in speaker recognition.rar]]

*[[媒体文件:Something about RNN or LSTM.rar|汤志远 2015-11-12 Something about RNN or LSTM]]

*[[媒体文件:PLDA and Spoofing detection.rar|李蓝天 2015-11-05 PLDA and Spoofing detection]]

*[[媒体文件:Notes for Networks of Memory.pdf|汤志远 2015-12-03 Notes for Networks of Memory]]

*[[媒体文件:151210-APSIPA15-Dvector.pdf|李蓝天 2015-12-10 D-vector APSIPA 2015]]

*[[媒体文件:1. PARALLEL TRAINING OF DNNS WITH NATURAL GRADIENT.pdf| 张雪薇 2015-12-31 PARALLEL TRAINING OF DNNS WITH NATURAL GRADIENT]]

*[[媒体文件:2. parallel_poster.pdf| 张雪薇 2015-12-31 PARALLEL poster]]

*[[媒体文件:3. TIME DELAY DEEP NEURAL NETWORK-BASED UNIVERSAL BACKGROUND MODELS.pdf| 张雪薇 2015-12-31 TIME DELAY DEEP NEURAL NETWORK-BASED UNIVERSAL BACKGROUND MODELS]]

*[[媒体文件:4. A time delay neural network architecture for efficient modeling of long.pdf| 张雪薇 2015-12-31 A time delay neural network architecture for efficient modeling of long temporal contexts]]

*[[媒体文件:5. Semi-supervised Maximum Mutual Information Training of Deep Neural.pdf| 张雪薇 2015-12-31 Semi-supervised Maximum Mutual Information Training of Deep Neural Network Acoustic Models]]

*[[媒体文件:Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks .pdf|汤志远 2015-12-31 Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks]]

*[[媒体文件:tricks for ASR.rar|汤志远 2015-01-08 Several Tricks for ASR]]

*[[媒体文件:DL_for_speaker_recognition.rar|李蓝天 2015-01-14 DL for speaker recognition]]

@@ 第22行： / 第22行： @@
 *[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]
-*[[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]]
+*[[媒体文件:2014 Reshaping deep neural network for fast decoding by node-pruning.pdf|汤志远 2015-04-29 Sparse coding in DNN: Reshaping deep neural network for fast decoding by node-pruning]]
 *[[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]]

2015 - 版本历史

2016年2月28日 (日) 04:36 Tangzy

Tangzy：以“ *张之勇 2014-12-28 APSIPA paper reading *[http://www.jmlr.org/proceedings/papers/v32/graves14.pdf 刘超2015-03-11 Towards End-to-End S...”为内容创建页面

Tangzy：以“ 张之勇 2014-12-28 APSIPA paper reading [http://www.jmlr.org/proceedings/papers/v32/graves14.pdf 刘超2015-03-11 Towards End-to-End S...”为内容创建页面