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Recent advances in the multi-stream HMM/ANN hybrid approach to noise robust ASR

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Recent advances in the multi-stream HMM/ANN hybrid approach to noise robust ASR

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Controllability and Interpretability in Affective Speech Synthesis

A Machine Learning-based Framework for Forecasting Sales of New Products With Short Life Cycles Using Deep Neural Networks

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

A unified framework for Hamiltonian deep neural networks

Multilingual Training and Adaptation in Speech Recognition

From Classical to Unsupervised-Deep-Learning Methods for Solving Inverse Problems in Imaging.

Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition

G2-VER: Geometry Guided Model Ensemble for Video-based Facial Expression Recognition

Temporal Spiking Recurrent Neural Network for Action Recognition

Biologically plausible deep learning – but how far can we go with shallow networks?