Papers
Unsupervised Raw Waveform Representation Learning for ASR
Purvi Agrawal, Sriram Ganapathy
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition
Zheng Lian, Jianhua Tao, Bin Liu et al.
Unsupervised Singing Voice Conversion
Eliya Nachmani, Lior Wolf
Unsupervised Training of Neural Mask-Based Beamforming
Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach
Untranscribed Web Audio for Low Resource Speech Recognition
Andrea Carmantini, Peter Bell, Steve Renals
Use of Beiwe Smartphone App to Identify and Track Speech Decline in Amyotrophic Lateral Sclerosis (ALS)
Kathryn P. Connaghan, Jordan R. Green, Sabrina Paganoni et al.
Using Alexa for Flashcard-Based Learning
Lucy Skidmore, Roger K. Moore
Using a Manifold Vocoder for Spectral Voice and Style Conversion
Tuan Dinh, Alexander Kain, Kris Tjaden
Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition
Sung-Lin Yeh, Gao-Yi Chao, Bo-Hao Su et al.
Using Prosody to Discover Word Order Alternations in a Novel Language
Anouschka Foltz, Sarah Cooper, Tamsin M. McKelvey
Using Pupil Dilation to Measure Cognitive Load When Listening to Text-to-Speech in Quiet and in Noise
Avashna Govender, Anita E. Wagner, Simon King
Using Real-Time Visual Biofeedback for Second Language Instruction
Shawn Nissen, Rebecca Nissen
Using Speech Production Knowledge for Raw Waveform Modelling Based Styrian Dialect Identification
S. Pavankumar Dubagunta, Mathew Magimai-Doss
Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test
Alice Baird, Shahin Amiriparian, Nicholas Cummins et al.
Using Ultrasound Imaging to Create Augmented Visual Biofeedback for Articulatory Practice
Colin T. Annand, Maurice Lamb, Sarah Dugan et al.
UWB-NTIS Speaker Diarization System for the DIHARD II 2019 Challenge
Zbyněk Zajíc, Marie Kunešová, Marek Hrúz et al.
VAE-Based Regularization for Deep Speaker Embedding
Yang Zhang, Lantian Li, Dong Wang
Validation of the Non-Intrusive Codebook-Based Short Time Objective Intelligibility Metric for Processed Speech
Charlotte Sørensen, Jesper B. Boldt, Mads G. Christensen
Variational Attention Using Articulatory Priors for Generating Code Mixed Speech Using Monolingual Corpora
SaiKrishna Rallabandi, Alan W. Black
Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function
Masahito Togami, Tatsuya Komatsu
Variational Domain Adversarial Learning for Speaker Verification
Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien
Vectorized Beam Search for CTC-Attention-Based Speech Recognition
Hiroshi Seki, Takaaki Hori, Shinji Watanabe et al.
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Ngoc-Quan Pham, Thai-Son Nguyen, Jan Niehues et al.