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Papers
Use of Global and Acoustic Features Associated with Contextual Factors to Adapt Language Models for Spontaneous Speech Recognition
INTERSPEECH 2017
Non-Uniform MCE Training of Deep Long Short-Term Memory Recurrent Neural Networks for Keyword Spotting
INTERSPEECH 2017
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
ICML 2017
An RNN-Based Quantized F0 Model with Multi-Tier Feedback Links for Text-to-Speech Synthesis
INTERSPEECH 2017
An RNN Model of Text Normalization
INTERSPEECH 2017
The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring
INTERSPEECH 2017
On Multi-Domain Training and Adaptation of End-to-End RNN Acoustic Models for Distant Speech Recognition
INTERSPEECH 2017
Hierarchical LSTMs with Joint Learning for Estimating Customer Satisfaction from Contact Center Calls
INTERSPEECH 2017
To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories
INTERSPEECH 2017
Turn-Taking Estimation Model Based on Joint Embedding of Lexical and Prosodic Contents
INTERSPEECH 2017
Recurrent Highway Networks
ICML 2017
Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion Utilizing Complex Many-to-Many Alignments
INTERSPEECH 2016
RNN-BLSTM Based Multi-Pitch Estimation
INTERSPEECH 2016