title: Parameter Uncertainty and Multi-sensor Attention Models for End-to-end Speech Recognition
abstract: 5 1.2.1 Curriculum Learning for Improved Noise Robustness 5 1.2.2Attention-driven Multi-Sensor Selection 6 1.2.3 Parameter Uncertainty for End-to-end Models 8 2 end-to-end speech recognition 11 2.1 Model components 11 2.2 Training 12 2.3 Inference 13 2.4 Properties 15 4.3.4Discussion 49 4.4 Convolutional Front-end Architecture 52 4.4.1 Neural Network Architecture 52 4.4.2Dataset 53 4.4.3Models 53 4.4.4Training Parameters 54 4.4.5 Results 55 4.4.6 Discussion 57 4.5 Conclusion 60 5 parameter uncer
journal: Repository for Publications and Research Data (ETH Zurich)