70 citations · 180 across the 53 of their papers we have counts for
10 papers · 1 filter
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity
Glorianna Jagfeld, Sabrina Jenne, Ngoc Thang Vu
We present a comparison of word-based and character-based sequence-to-sequence models for data-to-text natural language generation, which generate natural language descriptions for…
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Matthias Blohm, Glorianna Jagfeld, Ekta Sood +2
We propose a machine reading comprehension model based on the compare-aggregate framework with two-staged attention that achieves state-of-the-art results on the MovieQA question a…
Densely Connected Convolutional Networks for Speech Recognition
Chia Yu Li, Ngoc Thang Vu
This paper presents our latest investigation on Densely Connected Convolutional Networks (DenseNets) for acoustic modelling (AM) in automatic speech recognition. DenseN-ets are ver…
Unsupervised Domain Adaptation by Adversarial Learning for Robust Speech Recognition
Pavel Denisov, Ngoc Thang Vu, Marc Ferras Font
In this paper, we investigate the use of adversarial learning for unsupervised adaptation to unseen recording conditions, more specifically, single microphone far-field speech. We…
Low-Resource Text Classification using Domain-Adversarial Learning
Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher
Deep learning techniques have recently shown to be successful in many natural language processing tasks forming state-of-the-art systems. They require, however, a large amount of a…
Effects of Word Embeddings on Neural Network-based Pitch Accent Detection
Sabrina Stehwien, Ngoc Thang Vu, Antje Schweitzer
Pitch accent detection often makes use of both acoustic and lexical features based on the fact that pitch accents tend to correlate with certain words. In this paper, we extend a p…
Investigations on End-to-End Audiovisual Fusion
Michael Wand, Ngoc Thang Vu, Juergen Schmidhuber
Audiovisual speech recognition (AVSR) is a method to alleviate the adverse effect of noise in the acoustic signal. Leveraging recent developments in deep neural network-based speec…
Introducing two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
We present two novel datasets for the low-resource language Vietnamese to assess models of semantic similarity: ViCon comprises pairs of synonyms and antonyms across word classes,…
Lexico-acoustic Neural-based Models for Dialog Act Classification
Daniel Ortega, Ngoc Thang Vu
Recent works have proposed neural models for dialog act classification in spoken dialogs. However, they have not explored the role and the usefulness of acoustic information. We pr…
Cross-lingual and Multilingual Speech Emotion Recognition on English and French
Michael Neumann, Ngoc Thang Vu
Research on multilingual speech emotion recognition faces the problem that most available speech corpora differ from each other in important ways, such as annotation methods or int…