Papers
Should Code-switching Models Be Asymmetric?
Barbara E. Bullock, Gualberto Guzmán, Jacqueline Serigos et al.
A Weighted Superposition of Functional Contours Model for Modelling Contextual Prominence of Elementary Prosodic Contours
Branislav Gerazov, Gérard Bailly, Yi Xu
DNN-based Speech Synthesis for Small Data Sets Considering Bidirectional Speech-Text Conversion
Kentaro Sone, Toru Nakashika
Deep Metric Learning for the Target Cost in Unit-Selection Speech Synthesizer
Ruibo Fu, Jianhua Tao, Yibin Zheng et al.
Learning and Modeling Unit Embeddings for Improving HMM-based Unit Selection Speech Synthesis
Xiao Zhou, Zhen-Hua Ling, Zhi-Ping Zhou et al.
Implementation of Respiration in Articulatory Synthesis Using a Pressure-Volume Lung Model
Keisuke Tanihara, Shogo Yonekura, Yasuo Kuniyoshi
Articulatory-to-speech Conversion Using Bi-directional Long Short-term Memory
Fumiaki Taguchi, Tokihiko Kaburagi
Multimodal Speech Synthesis Architecture for Unsupervised Speaker Adaptation
Hieu-Thi Luong, Junichi Yamagishi
Acoustic-dependent Phonemic Transcription for Text-to-speech Synthesis
Kévin Vythelingum, Yannick Estève, Olivier Rosec
Joint Learning of Facial Expression and Head Pose from Speech
David Greenwood, Iain Matthews, Stephen Laycock
The Effect of Real-Time Constraints on Automatic Speech Animation
Danny Websdale, Sarah Taylor, Ben Milner
An Investigation of Convolution Attention Based Models for Multilingual Speech Synthesis of Indian Languages
Pallavi Baljekar, SaiKrishna Rallabandi, Alan W Black
Audio-visual Voice Conversion Using Deep Canonical Correlation Analysis for Deep Bottleneck Features
Satoshi Tamura, Kento Horio, Hajime Endo et al.
Naturalness Improvement Algorithm for Reconstructed Glossectomy Patient's Speech Using Spectral Differential Modification in Voice Conversion
Hiroki Murakami, Sunao Hara, Masanobu Abe et al.
Fast Language Adaptation Using Phonological Information
Sibo Tong, Philip N. Garner, Hervé Bourlard
Improved Accented Speech Recognition Using Accent Embeddings and Multi-task Learning
Abhinav Jain, Minali Upreti, Preethi Jyothi
Leveraging Native Language Information for Improved Accented Speech Recognition
Shahram Ghorbani, John H.L. Hansen
Auxiliary Feature Based Adaptation of End-to-end ASR Systems
Marc Delcroix, Shinji Watanabe, Atsunori Ogawa et al.
Improving DNNs Trained with Non-Native Transcriptions Using Knowledge Distillation and Target Interpolation
Amit Das, Mark Hasegawa-Johnson
Empirical Evaluation of Speaker Adaptation on DNN Based Acoustic Model
Ke Wang, Junbo Zhang, Yujun Wang et al.
Encoder Transfer for Attention-based Acoustic-to-word Speech Recognition
Sei Ueno, Takafumi Moriya, Masato Mimura et al.
Neural Language Codes for Multilingual Acoustic Models
Markus Müller, Sebastian Stüker, Alex Waibel