Boris Müller

Deep Neural Networks for Acoustic Modeling in Speech Recognition

Rising to the challenge: applying biofabrication approaches for better drug and chemical product development

3D bioactive composite scaffolds for bone tissue engineering

Discriminative training of HMMs for automatic speech recognition: A survey

Acoustic Modeling Using Deep Belief Networks

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

Deep learning for healthcare: review, opportunities and challenges

Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error

Speech Recognition Using Augmented Conditional Random Fields

1D convolutional neural networks and applications: A survey

Discriminative learning in sequential pattern recognition

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

Machine Learning Paradigms for Speech Recognition: An Overview

Large-margin minimum classification error training: A theoretical risk minimization perspective

Comparison of discriminative training criteria and optimization methods for speech recognition

Aligning the 3Rs with new paradigms in the safety assessment of chemicals