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Model Architecture

4,354 papers

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Papers

CTC in the Context of Generalized Full-Sum HMM Training INTERSPEECH 2017
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition INTERSPEECH 2017
Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling INTERSPEECH 2017
Forward-Backward Convolutional LSTM for Acoustic Modeling INTERSPEECH 2017
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting INTERSPEECH 2017
End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow INTERSPEECH 2017
On the Influence of Modifying Magnitude and Phase Spectrum to Enhance Noisy Speech Signals INTERSPEECH 2017
Recognizing Multi-Talker Speech with Permutation Invariant Training INTERSPEECH 2017
Structured-Based Curriculum Learning for End-to-End English-Japanese Speech Translation INTERSPEECH 2017
Attention Networks for Modeling Behaviors in Addiction Counseling INTERSPEECH 2017
Improving Mask Learning Based Speech Enhancement System with Restoration Layers and Residual Connection INTERSPEECH 2017
Convolutional Neural Fabrics NIPS 2016
Optimal Architectures in a Solvable Model of Deep Networks NIPS 2016
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Learning Structured Sparsity in Deep Neural Networks NIPS 2016
Learning the Number of Neurons in Deep Networks NIPS 2016
Deep Submodular Functions: Definitions and Learning NIPS 2016
FPNN: Field Probing Neural Networks for 3D Data NIPS 2016
Multimodal Residual Learning for Visual QA NIPS 2016
Learning Sensor Multiplexing Design through Back-propagation NIPS 2016
Tensor Switching Networks NIPS 2016
Doubly Convolutional Neural Networks NIPS 2016
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks NIPS 2016
Binarized Neural Networks NIPS 2016
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NIPS 2016