Papers
A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions
Yasuhito Ohsugi, Daisuke Saito, Nobuaki Minematsu
Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks
Chandrakant Bothe, Sven Magg, Cornelius Weber et al.
Prediction of Turn-taking Using Multitask Learning with Prediction of Backchannels and Fillers
Kohei Hara, Koji Inoue, Katsuya Takanashi et al.
A Case Study on the Importance of Belief State Representation for Dialogue Policy Management
Margarita Kotti, Vassilios Diakoloukas, Alexandros Papangelis et al.
Prediction of Subjective Listening Effort from Acoustic Data with Non-Intrusive Deep Models
Paul Kranzusch, Rainer Huber, Melanie Krüger et al.
Prediction of Perceived Speech Quality Using Deep Machine Listening
Jasper Ooster, Rainer Huber, Bernd T. Meyer
Analyzing Reaction Time Sequences from Human Participants in Auditory Experiments
Louis ten Bosch, Mirjam Ernestus, Lou Boves
Wide Learning for Auditory Comprehension
Elnaz Shafaei-Bajestan, R. Harald Baayen
Measuring the Band Importance Function for Mandarin Chinese with a Bayesian Adaptive Procedure
Yufan Du, Yi Shen, Hongying Yang et al.
Picture Naming or Word Reading: Does the Modality Affect Speech Motor Adaptation and Its Transfer?
Tiphaine Caudrelier, Pascal Perrier, Jean-Luc Schwartz et al.
Learning Spontaneity to Improve Emotion Recognition in Speech
Karttikeya Mangalam, Tanaya Guha
Role of Regularization in the Prediction of Valence from Speech
Kusha Sridhar, Srinivas Parthasarathy, Carlos Busso
Emotion Recognition from Human Speech Using Temporal Information and Deep Learning
John Kim, Rif A. Saurous
Towards Temporal Modelling of Categorical Speech Emotion Recognition
Wenjing Han, Huabin Ruan, Xiaomin Chen et al.
Integrating Recurrence Dynamics for Speech Emotion Recognition
Efthymios Tzinis, Georgios Paraskevopoulos, Christos Baziotis et al.
On the Application and Compression of Deep Time Delay Neural Network for Embedded Statistical Parametric Speech Synthesis
Yibin Zheng, Jianhua Tao, Zhengqi Wen et al.
Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis
Joun Yeop Lee, Sung Jun Cheon, Byoung Jin Choi et al.
A Unified Framework for the Generation of Glottal Signals in Deep Learning-based Parametric Speech Synthesis Systems
Min-Jae Hwang, Eunwoo Song, Jin-Seob Kim et al.
Transfer Learning Based Progressive Neural Networks for Acoustic Modeling in Statistical Parametric Speech Synthesis
Ruibo Fu, Jianhua Tao, Yibin Zheng et al.
Incremental TTS for Japanese Language
Tomoya Yanagita, Sakriani Sakti, Satoshi Nakamura
Waveform-Based Speaker Representations for Speech Synthesis
Moquan Wan, Gilles Degottex, Mark J.F. Gales
Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition
Khe Chai Sim, Arun Narayanan, Ananya Misra et al.
Machine Speech Chain with One-shot Speaker Adaptation
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
Correlational Networks for Speaker Normalization in Automatic Speech Recognition
Rini A Sharon, Sandeep Reddy Kothinti, Umesh Srinivasan