Co-occurring keywords
Papers
Learning Multiscale Features Directly from Waveforms
INTERSPEECH 2016
Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition
INTERSPEECH 2016
Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding
INTERSPEECH 2016
A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding
INTERSPEECH 2016
Convolutional Neural Networks with Data Augmentation for Classifying Speakers’ Native Language
INTERSPEECH 2016
Context Adaptive Neural Network for Rapid Adaptation of Deep CNN Based Acoustic Models
INTERSPEECH 2016
Group Equivariant Convolutional Networks
ICML 2016
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
AISTATS 2016
Bank of Weight Filters for Deep CNNs
ACML 2016