Papers
Incorporating a Generative Front-End Layer to Deep Neural Network for Noise Robust Automatic Speech Recognition
Souvik Kundu, Khe Chai Sim, Mark J.F. Gales
Data Selection by Sequence Summarizing Neural Network in Mismatch Condition Training
Kateřina Žmolíková, Martin Karafiát, Karel Veselý et al.
An Engine for Online Video Search in Large Archives of the Holocaust Testimonies
Petr Stanislav, Jan Švec, Pavel Ircing
Silent-Speech Command Word Recognition Using Electro-Optical Stomatography
Simon Stone, Peter Birkholz
Combining Feature and Model-Based Adaptation of RNNLMs for Multi-Genre Broadcast Speech Recognition
Salil Deena, Madina Hasan, Mortaza Doulaty et al.
Contextual Prediction Models for Speech Recognition
Yoni Halpern, Keith Hall, Vlad Schogol et al.
Unsupervised Adaptation of Recurrent Neural Network Language Models
Siva Reddy Gangireddy, Pawel Swietojanski, Peter Bell et al.
Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features
Barlas Oğuz, Issac Alphonso, Shuangyu Chang
Learning N-Gram Language Models from Uncertain Data
Vitaly Kuznetsov, Hank Liao, Mehryar Mohri et al.
Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models
Thomas Drugman, Janne Pylkkönen, Reinhard Kneser
Model-Based Parametric Prosody Synthesis with Deep Neural Network
Hao Liu, Heng Lu, Xu Shao et al.
An Investigation of Recurrent Neural Network Architectures Using Word Embeddings for Phrase Break Prediction
Anandaswarup Vadapalli, Suryakanth V. Gangashetty
Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody
Alexandros Lazaridis, Milos Cernak, Philip N. Garner
Idlak Tangle: An Open Source Kaldi Based Parametric Speech Synthesiser Based on DNN
Blaise Potard, Matthew P. Aylett, David A. Baude et al.
Model Integration for HMM- and DNN-Based Speech Synthesis Using Product-of-Experts Framework
Kentaro Tachibana, Tomoki Toda, Yoshinori Shiga et al.
Using Text and Acoustic Features in Predicting Glottal Excitation Waveforms for Parametric Speech Synthesis with Recurrent Neural Networks
Lauri Juvela, Xin Wang, Shinji Takaki et al.
An Investigation of DNN-Based Speech Synthesis Using Speaker Codes
Nobukatsu Hojo, Yusuke Ijima, Hideyuki Mizuno
Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices
Heiga Zen, Yannis Agiomyrgiannakis, Niels Egberts et al.
Speaker Representations for Speaker Adaptation in Multiple Speakers’ BLSTM-RNN-Based Speech Synthesis
Yi Zhao, Daisuke Saito, Nobuaki Minematsu
Waveform Generation Based on Signal Reshaping for Statistical Parametric Speech Synthesis
Felipe Espic, Cassia Valentini-Botinhao, Zhizheng Wu et al.
Voice Quality Control Using Perceptual Expressions for Statistical Parametric Speech Synthesis Based on Cluster Adaptive Training
Yamato Ohtani, Koichiro Mori, Masahiro Morita
Improved Time-Frequency Trajectory Excitation Vocoder for DNN-Based Speech Synthesis
Eunwoo Song, Frank K. Soong, Hong-Goo Kang
The Parameterized Phoneme Identity Feature as a Continuous Real-Valued Vector for Neural Network Based Speech Synthesis
Zhengqi Wen, Ya Li, Jianhua Tao