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Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-specific Scaling

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Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-specific Scaling

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DNN-based Speech Synthesis: Importance of input features and training data

Phonological Vocoding Using Artificial Neural Networks

Phonological vocoding using artificial neural networks

Preliminary Work on Speaker Adaptation for DNN-Based Speech Synthesis

Convolutional Pitch Target Approximation Model for Speech Synthesis

Improving Object Classification using Pose Information

Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition

Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition

Improving non-native ASR through stochastic multilingual phoneme space transformations

Improving non-native ASR through stochastic multilingual phoneme space transformations

Preliminary Work on Speaker Adaptation for DNN-Based Speech Synthesis

Convolutional Pitch Target Approximation Model for Speech Synthesis

Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition

DNN-based Speech Synthesis: Importance of input features and training data

Improving Object Classification using Pose Information

Improving non-native ASR through stochastic multilingual phoneme space transformations

Phonological Vocoding Using Artificial Neural Networks

Phonological vocoding using artificial neural networks

Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition

Improving non-native ASR through stochastic multilingual phoneme space transformations