Papers
Unified Verbalization for Speech Recognition & Synthesis Across Languages
Sandy Ritchie, Richard Sproat, Kyle Gorman et al.
Code-Switching Sentence Generation by Bert and Generative Adversarial Networks
Yingying Gao, Junlan Feng, Ying Liu et al.
Attention-Based Word Vector Prediction with LSTMs and its Application to the OOV Problem in ASR
Alejandro Coucheiro-Limeres, Fernando Fernández-Martínez, Rubén San-Segundo et al.
Improving Automatically Induced Lexicons for Highly Agglutinating Languages Using Data-Driven Morphological Segmentation
Wiehan Agenbag, Thomas Niesler
Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models
Jianwei Yu, Max W.Y. Lam, Shoukang Hu et al.
Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation
Yerbolat Khassanov, Zhiping Zeng, Van Tung Pham et al.
Connecting and Comparing Language Model Interpolation Techniques
Ernest Pusateri, Christophe Van Gysel, Rami Botros et al.
Character-Aware Sub-Word Level Language Modeling for Uyghur and Turkish ASR
Chang Liu, Zhen Zhang, Pengyuan Zhang et al.
Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR
Zhehuai Chen, Mahaveer Jain, Yongqiang Wang et al.
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?
Lyan Verwimp, Jerome R. Bellegarda
On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters
Erfan Loweimi, Peter Bell, Steve Renals
Feature Exploration for Almost Zero-Resource ASR-Free Keyword Spotting Using a Multilingual Bottleneck Extractor and Correspondence Autoencoders
Raghav Menon, Herman Kamper, Ewald van der Westhuizen et al.
Automatic Detection of Prosodic Focus in American English
Sunghye Cho, Mark Liberman, Yong-cheol Lee
wav2vec: Unsupervised Pre-Training for Speech Recognition
Steffen Schneider, Alexei Baevski, Ronan Collobert et al.
Binary Speech Features for Keyword Spotting Tasks
Alexandre Riviello, Jean-Pierre David
Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition
David B. Ramsay, Kevin Kilgour, Dominik Roblek et al.
Unsupervised Raw Waveform Representation Learning for ASR
Purvi Agrawal, Sriram Ganapathy
Modulation Vectors as Robust Feature Representation for ASR in Domain Mismatched Conditions
Samik Sadhu, Hynek Hermansky
Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios
Sebastian Möller, Gabriel Mittag, Thilo Michael et al.
Artificial Bandwidth Extension Using H∞ Optimization
Deepika Gupta, Hanumant Singh Shekhawat
Speech Audio Super-Resolution for Speech Recognition
Xinyu Li, Venkata Chebiyyam, Katrin Kirchhoff
Super-Wideband Spectral Envelope Modeling for Speech Coding
Guillaume Fuchs, Chamran Ashour, Tom Bäckström