“2016”版本间的差异
来自cslt Wiki
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==DNN architecture== | ==DNN architecture== | ||
| − | [http://www.isca-speech.org/archive/Interspeech_2016/pdfs/1446.pdf Ying Zhang et al. Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks] | + | * [http://www.isca-speech.org/archive/Interspeech_2016/pdfs/1446.pdf Ying Zhang et al. Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks] |
| − | + | * [[媒体文件:OUTRAGEOUSLYLARGENEURALNETWORKSTHESPARSELY-GATEDMIXTURE-OF-EXPERTSLAYER.pdf|ICLR2017: OUTRAGEOUSLY LARGE NEURAL NETWORKS: THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER]] | |
| − | [[媒体文件:OUTRAGEOUSLYLARGENEURALNETWORKSTHESPARSELY-GATEDMIXTURE-OF-EXPERTSLAYER.pdf|ICLR2017: OUTRAGEOUSLY LARGE NEURAL NETWORKS: THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER]] | + | * [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fb/LightRNN.pdf lightRNN from microsoft] |
| − | + | * [https://arxiv.org/pdf/1512.03385v1.pdf Kaiming He et al. Deep Residual Learning for Image Recognition] | |
| − | [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fb/LightRNN.pdf lightRNN from microsoft] | + | * [http://www.isca-speech.org/archive/Interspeech_2016/pdfs/0515.pdf Wei-Ning Hsu et al. Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition] |
| − | + | ||
| − | [https://arxiv.org/pdf/1512.03385v1.pdf Kaiming He et al. Deep Residual Learning for Image Recognition] | + | |
| − | + | ||
| − | [http://www.isca-speech.org/archive/Interspeech_2016/pdfs/0515.pdf Wei-Ning Hsu et al. Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition] | + | |
==Visualization== | ==Visualization== | ||
| − | [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b9/Visualizing_and_Understanding_Genomic.pdf Visualizing and Understanding Genomic Sequences Using Deep Neural Networks] | + | * [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b9/Visualizing_and_Understanding_Genomic.pdf Visualizing and Understanding Genomic Sequences Using Deep Neural Networks] |
| − | + | * [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/43/On_the_Role_of_Nonlinear_Transformations_in_Deep_Neural_Network_Acoustic_Models.PDF On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models] | |
| − | [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/43/On_the_Role_of_Nonlinear_Transformations_in_Deep_Neural_Network_Acoustic_Models.PDF On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models] | + | |
==Speaker recognition== | ==Speaker recognition== | ||
| − | [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1b/RedDots.rar# INTERSPEECH 2016 Fri-O-2-2 :Special Session: The RedDots Challenge: Towards Characterizing Speakers from Short Utterances] | + | * [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1b/RedDots.rar# INTERSPEECH 2016 Fri-O-2-2 :Special Session: The RedDots Challenge: Towards Characterizing Speakers from Short Utterances] |
| − | + | * [http://192.168.0.51:8888/2016/interspeech2016/WELCOME.html# INTERSPEECH 2016 Fri-O-3-2 : Special Session: The Speakers in the Wild (SITW) Speaker Recognition Challenge] | |
| − | [http://192.168.0.51:8888/2016/interspeech2016/WELCOME.html# INTERSPEECH 2016 Fri-O-3-2 : Special Session: The Speakers in the Wild (SITW) Speaker Recognition Challenge] | + | |
2016年11月9日 (三) 01:04的版本
DNN architecture
- Ying Zhang et al. Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
- ICLR2017: OUTRAGEOUSLY LARGE NEURAL NETWORKS: THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER
- lightRNN from microsoft
- Kaiming He et al. Deep Residual Learning for Image Recognition
- Wei-Ning Hsu et al. Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition
Visualization
- Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
- On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models
Speaker recognition
- INTERSPEECH 2016 Fri-O-2-2 :Special Session: The RedDots Challenge: Towards Characterizing Speakers from Short Utterances
- INTERSPEECH 2016 Fri-O-3-2 : Special Session: The Speakers in the Wild (SITW) Speaker Recognition Challenge
