Papers
The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016
Kong Aik Lee, SRE’16 I4U Group
Deep Learning-Based Telephony Speech Recognition in the Wild
Kyu J. Han, Seongjun Hahm, Byung-Hak Kim et al.
Frame and Segment Level Recurrent Neural Networks for Phone Classification
Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
Stochastic Recurrent Neural Network for Speech Recognition
Jen-Tzung Chien, Chen Shen
Improving Speech Recognition by Revising Gated Recurrent Units
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo et al.
Highway-LSTM and Recurrent Highway Networks for Speech Recognition
Golan Pundak, Tara N. Sainath
Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping
Haşim Sak, Matt Shannon, Kanishka Rao et al.
Siamese Autoencoders for Speech Style Extraction and Switching Applied to Voice Identification and Conversion
Seyed Hamidreza Mohammadi, Alexander Kain
A Mouth Opening Effect Based on Pole Modification for Expressive Singing Voice Transformation
Luc Ardaillon, Axel Roebel
Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks
Takuhiro Kaneko, Hirokazu Kameoka, Kaoru Hiramatsu et al.
Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus
Tetsuya Hashimoto, Hidetsugu Uchida, Daisuke Saito et al.
Learning Latent Representations for Speech Generation and Transformation
Wei-Ning Hsu, Yu Zhang, James Glass
Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities
Hiroyuki Miyoshi, Yuki Saito, Shinnosuke Takamichi et al.
Voice-to-Affect Mapping: Inferences on Language Voice Baseline Settings
Ailbhe Ní Chasaide, Irena Yanushevskaya, Christer Gobl
Capturing Long-Term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition
Soheil Khorram, Zakaria Aldeneh, Dimitrios Dimitriadis et al.
An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression
Ting Dang, Vidhyasaharan Sethu, Julien Epps et al.
Adversarial Auto-Encoders for Speech Based Emotion Recognition
Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman et al.
Speech Emotion Recognition with Emotion-Pair Based Framework Considering Emotion Distribution Information in Dimensional Emotion Space
Xi Ma, Zhiyong Wu, Jia Jia et al.
A New Model of Final Lowering in Spontaneous Monologue
Kikuo Maekawa
Pashto Intonation Patterns
Luca Rognoni, Judith Bishop, Miriam Corris
Mind the Peak: When Museum is Temporarily Understood as Musical in Australian English
Katharina Zahner, Heather Kember, Bettina Braun
Intonation Facilitates Prediction of Focus Even in the Presence of Lexical Tones
Martin Ho Kwan Ip, Anne Cutler
Comparing Languages Using Hierarchical Prosodic Analysis
Juraj Šimko, Antti Suni, Katri Hiovain et al.
The Vocative Chant and Beyond: German Calling Melodies Under Routine and Urgent Contexts
Sergio I. Quiroz, Marzena Żygis