“2016”版本间的差异
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*[[媒体文件:Note icassp16.pdf|Zhiyuan Tang 20160520 - ICASSP 2016 summary ]] | *[[媒体文件:Note icassp16.pdf|Zhiyuan Tang 20160520 - ICASSP 2016 summary ]] | ||
*[[媒体文件:Nn analysis.pdf |Zhiyuan Tang 20160802 - Visualizing, Measuring and Understanding Neural Networks: A Brief Survey ]] | *[[媒体文件:Nn analysis.pdf |Zhiyuan Tang 20160802 - Visualizing, Measuring and Understanding Neural Networks: A Brief Survey ]] | ||
*[[媒体文件:Interspeech16 review.pdf|Zhiyuan Tang 20161122 - INTERSPEECH 2016 summary ]] | *[[媒体文件:Interspeech16 review.pdf|Zhiyuan Tang 20161122 - INTERSPEECH 2016 summary ]] |
2016年11月28日 (一) 06:10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
- MICRO 2016
- Cambricon-X: An Accelerator for Sparse Neural Networks
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