Papers
Hierarchical LSTMs with Joint Learning for Estimating Customer Satisfaction from Contact Center Calls
Atsushi Ando, Ryo Masumura, Hosana Kamiyama et al.
Human and Automated Scoring of Fluency, Pronunciation and Intonation During Human–Machine Spoken Dialog Interactions
Vikram Ramanarayanan, Patrick L. Lange, Keelan Evanini et al.
Sequence to Sequence Modeling for User Simulation in Dialog Systems
Paul Crook, Alex Marin
Measuring Synchrony in Task-Based Dialogues
Justine Reverdy, Carl Vogel
Entrainment in Multi-Party Spoken Dialogues at Multiple Linguistic Levels
Zahra Rahimi, Anish Kumar, Diane Litman et al.
Social Signal Detection in Spontaneous Dialogue Using Bidirectional LSTM-CTC
Hirofumi Inaguma, Koji Inoue, Masato Mimura et al.
Turn-Taking Estimation Model Based on Joint Embedding of Lexical and Prosodic Contents
Chaoran Liu, Carlos Ishi, Hiroshi Ishiguro
End-of-Utterance Prediction by Prosodic Features and Phrase-Dependency Structure in Spontaneous Japanese Speech
Yuichi Ishimoto, Takehiro Teraoka, Mika Enomoto
Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems
Angelika Maier, Julian Hough, David Schlangen
Turn-Taking Offsets and Dialogue Context
Peter A. Heeman, Rebecca Lunsford
Improving Prediction of Speech Activity Using Multi-Participant Respiratory State
Marcin Włodarczak, Kornel Laskowski, Mattias Heldner et al.
Online End-of-Turn Detection from Speech Based on Stacked Time-Asynchronous Sequential Networks
Ryo Masumura, Taichi Asami, Hirokazu Masataki et al.
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis
Qingming Tang, Weiran Wang, Karen Livescu
Parallel Neural Network Features for Improved Tandem Acoustic Modeling
Zoltán Tüske, Wilfried Michel, Ralf Schlüter et al.
An Efficient Phone N-Gram Forward-Backward Computation Using Dense Matrix Multiplication
Khe Chai Sim, Arun Narayanan
End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow
Ehsan Variani, Tom Bagby, Erik McDermott et al.
Node Pruning Based on Entropy of Weights and Node Activity for Small-Footprint Acoustic Model Based on Deep Neural Networks
Ryu Takeda, Kazuhiro Nakadai, Kazunori Komatani
Backstitch: Counteracting Finite-Sample Bias via Negative Steps
Yiming Wang, Vijayaditya Peddinti, Hainan Xu et al.
A Comparative Evaluation of GMM-Free State Tying Methods for ASR
Tamás Grósz, Gábor Gosztolya, László Tóth
Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling
Tamás Grósz, Gábor Gosztolya, László Tóth
Ensembles of Multi-Scale VGG Acoustic Models
Michael Heck, Masayuki Suzuki, Takashi Fukuda et al.
Deep Activation Mixture Model for Speech Recognition
Chunyang Wu, Mark J.F. Gales
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
Sercan Ö. Arık, Markus Kliegl, Rewon Child et al.
Forward-Backward Convolutional LSTM for Acoustic Modeling
Shigeki Karita, Atsunori Ogawa, Marc Delcroix et al.
Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling
Dung T. Tran, Marc Delcroix, Shigeki Karita et al.