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ORCIDNgoc Thang Vu
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- affiliation: University of Stuttgart, Institute for Natural Language Processing, Germany
- affiliation: University of Munich, Center for Information and Language Processing, Germany
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2020 – today
- 2020
[j2]Daniel Grießhaber
, Ngoc Thang Vu, Johannes Maucher:
Low-resource text classification using domain-adversarial learning. Comput. Speech Lang. 62: 101056 (2020)- [c84]Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu:
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. ACL (demo) 2020: 279-286 - [c83]Xiang Yu, Simon Tannert, Ngoc Thang Vu, Jonas Kuhn:
Fast and Accurate Non-Projective Dependency Tree Linearization. ACL 2020: 1451-1462 - [c82]Frank Heyen, Tanja Munz, Michael Neumann, Daniel Ortega, Ngoc Thang Vu, Daniel Weiskopf, Michael Sedlmair:
ClaVis: An Interactive Visual Comparison System for Classifiers. AVI 2020: 9:1-9:9 - [c81]Hendrik Schuff, Heike Adel, Ngoc Thang Vu:
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering. EMNLP (1) 2020: 7076-7095 - [c80]Daniel Ortega, Chia-Yu Li, Ngoc Thang Vu:
OH, JEEZ! or UH-HUH? A Listener-Aware Backchannel Predictor on ASR Transcriptions. ICASSP 2020: 8064-8068 - [c79]Pavel Denisov, Ngoc Thang Vu:
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning. INTERSPEECH 2020: 881-885 - [c78]Chia-Yu Li, Ngoc Thang Vu:
Improving Code-Switching Language Modeling with Artificially Generated Texts Using Cycle-Consistent Adversarial Networks. INTERSPEECH 2020: 1057-1061 - [c77]Mohamed Balabel, Injy Hamed, Slim Abdennadher, Ngoc Thang Vu, Özlem Çetinoglu:
Cairo Student Code-Switch (CSCS) Corpus: An Annotated Egyptian Arabic-English Corpus. LREC 2020: 3973-3977 - [c76]Injy Hamed, Ngoc Thang Vu, Slim Abdennadher:
ArzEn: A Speech Corpus for Code-switched Egyptian Arabic-English. LREC 2020: 4237-4246 - [c75]Alia El Bolock, Injy Khairy, Yomna Abdelrahman, Ngoc Thang Vu, Cornelia Herbert, Slim Abdennadher:
Who, When and Why: The 3 Ws of Code-Switching. PAAMS (Workshops) 2020: 83-94 - [c74]Xiang Yu, Ngoc Thang Vu, Jonas Kuhn:
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection. SIGMORPHON 2020: 70-78 - [i33]Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu:
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. CoRR abs/2005.01777 (2020) - [i32]Pavel Denisov, Ngoc Thang Vu:
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning. CoRR abs/2007.01836 (2020) - [i31]Hendrik Schuff, Heike Adel, Ngoc Thang Vu:
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering. CoRR abs/2010.06283 (2020) - [i30]Ekta Sood, Simon Tannert, Diego Frassinelli, Andreas Bulling, Ngoc Thang Vu:
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension. CoRR abs/2010.06396 (2020)
2010 – 2019
- 2019
- [c73]Daniel Ortega, Dirk Väth, Gianna Weber, Lindsey Vanderlyn, Maximilian Schmidt, Moritz Völkel, Zorica Karacevic, Ngoc Thang Vu:
ADVISER: A Dialog System Framework for Education & Research. ACL (3) 2019: 93-98 - [c72]Xiang Yu, Agnieszka Falenska, Marina Haid, Ngoc Thang Vu, Jonas Kuhn:
IMSurReal: IMS at the Surface Realization Shared Task 2019. MSR@EMNLP-IJCNLP 2019: 50-58 - [c71]Daniel Ortega, Chia-Yu Li, Gisela Vallejo, Pavel Denisov, Ngoc Thang Vu:
Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions. ICASSP 2019: 7265-7269 - [c70]Michael Neumann, Ngoc Thang Vu:
Improving Speech Emotion Recognition with Unsupervised Representation Learning on Unlabeled Speech. ICASSP 2019: 7390-7394 - [c69]Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu, Jonas Kuhn:
Head-First Linearization with Tree-Structured Representation. INLG 2019: 279-289 - [c68]Katrin Angerbauer, Heike Adel, Ngoc Thang Vu:
Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience. INTERSPEECH 2019: 594-598 - [c67]Fang Bao, Michael Neumann, Ngoc Thang Vu:
CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition. INTERSPEECH 2019: 2828-2832 - [c66]Sabrina Jenne, Ngoc Thang Vu:
Multimodal Articulation-Based Pronunciation Error Detection with Spectrogram and Acoustic Features. INTERSPEECH 2019: 3549-3553 - [c65]Pavel Denisov, Ngoc Thang Vu:
End-to-End Multi-Speaker Speech Recognition Using Speaker Embeddings and Transfer Learning. INTERSPEECH 2019: 4425-4429 - [c64]Dirk Väth, Ngoc Thang Vu:
To Combine or Not To Combine? A Rainbow Deep Reinforcement Learning Agent for Dialog Policies. SIGdial 2019: 62-67 - [c63]Injy Hamed, Moritz Zhu, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu:
Code-Switching Language Modeling with Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English. SPECOM 2019: 160-170 - [i29]Daniel Ortega, Chia-Yu Li, Gisela Vallejo, Pavel Denisov, Ngoc Thang Vu:
Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions. CoRR abs/1902.11060 (2019) - [i28]Pavel Denisov, Ngoc Thang Vu:
End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning. CoRR abs/1908.04737 (2019) - [i27]Pavel Denisov, Ngoc Thang Vu:
IMS-Speech: A Speech to Text Tool. CoRR abs/1908.04743 (2019) - [i26]Injy Hamed, Moritz Zhu, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu:
Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English. CoRR abs/1909.10892 (2019) - 2018
- [c62]Pavel Denisov, Ngoc Thang Vu, Marc Ferras Font:
Unsupervised Domain Adaptation by Adversarial Learning for Robust Speech Recognition. ITG Symposium on Speech Communication 2018: 1-5 - [c61]Chia-Yu Li, Ngoc Thang Vu:
Densely Connected Convolutional Networks for Speech Recognition. ITG Symposium on Speech Communication 2018: 1-5 - [c60]Xiang Yu, Ngoc Thang Vu, Jonas Kuhn:
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning. UDW@EMNLP 2018: 183-191 - [c59]Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu:
Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension. CoNLL 2018: 108-118 - [c58]Michael Wand, Jürgen Schmidhuber, Ngoc Thang Vu:
Investigations on End- to-End Audiovisual Fusion. ICASSP 2018: 3041-3045 - [c57]Michael Neumann, Ngoc Thang Vu:
CRoss-lingual and Multilingual Speech Emotion Recognition on English and French. ICASSP 2018: 5769-5773 - [c56]Daniel Ortega, Ngoc Thang Vu:
Lexico-Acoustic Neural-Based Models for Dialog Act Classification. ICASSP 2018: 6194-6198 - [c55]Glorianna Jagfeld, Sabrina Jenne, Ngoc Thang Vu:
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity. INLG 2018: 221-232 - [c54]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Introducing Two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness. NAACL-HLT (2) 2018: 199-205 - [c53]Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher:
Low-Resource Text Classification Using Domain-Adversarial Learning. SLSP 2018: 129-139 - [i25]Michael Neumann, Ngoc Thang Vu:
Cross-lingual and Multilingual Speech Emotion Recognition on English and French. CoRR abs/1803.00357 (2018) - [i24]Daniel Ortega, Ngoc Thang Vu:
Lexico-acoustic Neural-based Models for Dialog Act Classification. CoRR abs/1803.00831 (2018) - [i23]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Introducing two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness. CoRR abs/1804.05388 (2018) - [i22]Michael Wand, Ngoc Thang Vu, Jürgen Schmidhuber:
Investigations on End-to-End Audiovisual Fusion. CoRR abs/1804.11127 (2018) - [i21]Sabrina Stehwien, Ngoc Thang Vu, Antje Schweitzer:
Effects of Word Embeddings on Neural Network-based Pitch Accent Detection. CoRR abs/1805.05237 (2018) - [i20]Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher:
Low-Resource Text Classification using Domain-Adversarial Learning. CoRR abs/1807.05195 (2018) - [i19]Pavel Denisov, Ngoc Thang Vu, Marc Ferras Font:
Unsupervised Domain Adaptation by Adversarial Learning for Robust Speech Recognition. CoRR abs/1807.11284 (2018) - [i18]Chia-Yu Li, Ngoc Thang Vu:
Densely Connected Convolutional Networks for Speech Recognition. CoRR abs/1808.03570 (2018) - [i17]Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu:
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension. CoRR abs/1808.08744 (2018) - [i16]Glorianna Jagfeld, Sabrina Jenne, Ngoc Thang Vu:
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity. CoRR abs/1810.04864 (2018) - 2017
- [c52]Xiang Yu, Ngoc Thang Vu:
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages. ACL (2) 2017: 672-678 - [c51]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network. EACL (1) 2017: 76-85 - [c50]Glorianna Jagfeld, Ngoc Thang Vu:
Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking. SCNLP@EMNLP 2017 2017: 10-17 - [c49]Moritz Stiefel, Ngoc Thang Vu:
Enriching ASR Lattices with POS Tags for Dependency Parsing. SCNLP@EMNLP 2017 2017: 37-47 - [c48]Ina Rösiger, Sabrina Stehwien, Arndt Riester, Ngoc Thang Vu:
Improving coreference resolution with automatically predicted prosodic information. SCNLP@EMNLP 2017 2017: 78-83 - [c47]Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu:
A General-Purpose Tagger with Convolutional Neural Networks. SWCN@EMNLP 2017: 124-129 - [c46]Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde, Ngoc Thang Vu:
Hierarchical Embeddings for Hypernymy Detection and Directionality. EMNLP 2017: 233-243 - [c45]Michael Neumann, Ngoc Thang Vu:
Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech. INTERSPEECH 2017: 1263-1267 - [c44]Sabrina Stehwien, Ngoc Thang Vu:
Prosodic Event Recognition Using Convolutional Neural Networks with Context Information. INTERSPEECH 2017: 2326-2330 - [c43]Daniel Ortega, Ngoc Thang Vu:
Neural-based Context Representation Learning for Dialog Act Classification. SIGDIAL Conference 2017: 247-252 - [i15]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network. CoRR abs/1701.02962 (2017) - [i14]Xiang Yu, Ngoc Thang Vu:
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages. CoRR abs/1705.10814 (2017) - [i13]Michael Neumann, Ngoc Thang Vu:
Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech. CoRR abs/1706.00612 (2017) - [i12]Sabrina Stehwien, Ngoc Thang Vu:
Prosodic Event Recognition using Convolutional Neural Networks with Context Information. CoRR abs/1706.00741 (2017) - [i11]Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu:
A General-Purpose Tagger with Convolutional Neural Networks. CoRR abs/1706.01723 (2017) - [i10]Glorianna Jagfeld, Ngoc Thang Vu:
EncodingWord Confusion Networks with Recurrent Neural Networks for Dialog State Tracking. CoRR abs/1707.05853 (2017) - [i9]Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde, Ngoc Thang Vu:
Hierarchical Embeddings for Hypernymy Detection and Directionality. CoRR abs/1707.07273 (2017) - [i8]Ina Rösiger, Sabrina Stehwien, Arndt Riester, Ngoc Thang Vu:
Improving coreference resolution with automatically predicted prosodic information. CoRR abs/1707.09231 (2017) - [i7]Daniel Ortega, Ngoc Thang Vu:
Neural-based Context Representation Learning for Dialog Act Classification. CoRR abs/1708.02561 (2017) - [i6]Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, Dominic Telaar, Tanja Schultz:
Syntactic and Semantic Features For Code-Switching Factored Language Models. CoRR abs/1710.01809 (2017) - 2016
- [c42]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction. ACL (2) 2016 - [c41]Özlem Çetinoglu, Sarah Schulz, Ngoc Thang Vu:
Challenges of Computational Processing of Code-Switching. CodeSwitch@EMNLP 2016: 1-11 - [c40]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Neural-based Noise Filtering from Word Embeddings. COLING 2016: 2699-2707 - [c39]Ngoc Thang Vu, Pankaj Gupta, Heike Adel, Hinrich Schütze:
Bi-directional recurrent neural network with ranking loss for spoken language understanding. ICASSP 2016: 6060-6064 - [c38]Sabrina Stehwien, Ngoc Thang Vu:
Exploring the Correlation of Pitch Accents and Semantic Slots for Spoken Language Understanding. INTERSPEECH 2016: 730-734 - [c37]Antje Schweitzer, Ngoc Thang Vu:
Cross-Gender and Cross-Dialect Tone Recognition for Vietnamese. INTERSPEECH 2016: 1064-1068 - [c36]Ngoc Thang Vu:
Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding. INTERSPEECH 2016: 3250-3254 - [c35]Dieu-Thu Le, Ngoc Thang Vu, André Blessing:
Towards a text analysis system for political debates. LaTeCH@ACL 2016 - [c34]Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze:
Combining Recurrent and Convolutional Neural Networks for Relation Classification. HLT-NAACL 2016: 534-539 - [i5]Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze:
Combining Recurrent and Convolutional Neural Networks for Relation Classification. CoRR abs/1605.07333 (2016) - [i4]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction. CoRR abs/1605.07766 (2016) - [i3]Ngoc Thang Vu:
Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding. CoRR abs/1606.07783 (2016) - [i2]Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Neural-based Noise Filtering from Word Embeddings. CoRR abs/1610.01874 (2016) - [i1]Özlem Çetinoglu, Sarah Schulz, Ngoc Thang Vu:
Challenges of Computational Processing of Code-Switching. CoRR abs/1610.02213 (2016) - 2015
- [j1]Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, Dominic Telaar, Tanja Schultz:
Syntactic and Semantic Features For Code-Switching Factored Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 431-440 (2015) - [c33]Sebastian Ebert, Ngoc Thang Vu, Hinrich Schütze:
CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2015: 527-532 - [c32]Sebastian Ebert, Ngoc Thang Vu, Hinrich Schütze:
A Linguistically Informed Convolutional Neural Network. WASSA@EMNLP 2015: 109-114 - 2014
- [b1]Ngoc Thang Vu:
Automatic Speech Recognition for Low-resource Languages and Accents Using Multilingual and Crosslingual Information. Karlsruhe Institute of Technology, 2014, ISBN 978-3-8440-2892-8, pp. 1-181 - [c31]Ngoc Thang Vu, Tanja Schultz:
Exploration of the Impact of Maximum Entropy in Recurrent Neural Network Language Models for Code-Switching Speech. CodeSwitch@EMNLP 2014: 34-41 - [c30]Ngoc Thang Vu, David Imseng, Daniel Povey, Petr Motlícek, Tanja Schultz, Hervé Bourlard:
Multilingual deep neural network based acoustic modeling for rapid language adaptation. ICASSP 2014: 7639-7643 - [c29]Ngoc Thang Vu, Yuanfan Wang, Marten Klose, Zlatka Mihaylova, Tanja Schultz:
Improving ASR performance on non-native speech using multilingual and crosslingual information. INTERSPEECH 2014: 11-15 - [c28]Heike Adel, Katrin Kirchhoff, Ngoc Thang Vu, Dominic Telaar, Tanja Schultz:
Comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding. INTERSPEECH 2014: 651-655 - [c27]Ngoc Thang Vu, Jochen Weiner, Tanja Schultz:
Investigating the learning effect of multilingual bottle-neck features for ASR. INTERSPEECH 2014: 825-829 - [c26]Heike Adel, Dominic Telaar, Ngoc Thang Vu, Katrin Kirchhoff, Tanja Schultz:
Combining recurrent neural networks and factored language models during decoding of code-Switching speech. INTERSPEECH 2014: 1415-1419 - [c25]Dominic Telaar, Michael Wand, Dirk Gehrig, Felix Putze, Christoph Amma, Dominic Heger, Ngoc Thang Vu, Mark Erhardt, Tim Schlippe, Matthias Janke, Christian Herff, Tanja Schultz:
BioKIT - real-time decoder for biosignal processing. INTERSPEECH 2014: 2650-2654 - [c24]Heike Adel, Katrin Kirchhoff, Dominic Telaar, Ngoc Thang Vu, Tim Schlippe, Tanja Schultz:
Features for factored language models for code-Switching speech. SLTU 2014: 32-38 - 2013
- [c23]Heike Adel, Ngoc Thang Vu, Tanja Schultz:
Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling. ACL (2) 2013: 206-211 - [c22]Tanja Schultz, Ngoc Thang Vu, Tim Schlippe:
GlobalPhone: A multilingual text & speech database in 20 languages. ICASSP 2013: 8126-8130 - [c21]Heike Adel, Ngoc Thang Vu, Franziska Kraus, Tim Schlippe, Haizhou Li, Tanja Schultz:
Recurrent neural network language modeling for code switching conversational speech. ICASSP 2013: 8411-8415 - [c20]Ngoc Thang Vu, Tanja Schultz:
Multilingual multilayer perceptron for rapid language adaptation between and across language families. INTERSPEECH 2013: 515-519 - [c19]Melvin Jose Johnson Premkumar, Ngoc Thang Vu, Tanja Schultz:
Experiments towards a better LVCSR system for tamil. INTERSPEECH 2013: 2202-2206 - [c18]Tim Schlippe, Lukasz Gren, Ngoc Thang Vu, Tanja Schultz:
Unsupervised language model adaptation for automatic speech recognition of broadcast news using web 2.0. INTERSPEECH 2013: 2698-2702 - [c17]Ngoc Thang Vu, Heike Adel, Tanja Schultz:
An Investigation of Code-Switching Attitude Dependent Language Modeling. SLSP 2013: 297-308 - 2012
- [c16]Melvin Jose J., Ngoc Thang Vu, Tanja Schultz:
Initial Experiments with Tamil LVCSR. IALP 2012: 81-84 - [c15]Daniel Povey, Mirko Hannemann, Gilles Boulianne, Lukás Burget, Arnab Ghoshal, Milos Janda, Martin Karafiát, Stefan Kombrink, Petr Motlícek, Yanmin Qian, Korbinian Riedhammer, Karel Veselý, Ngoc Thang Vu:
Generating exact lattices in the WFST framework. ICASSP 2012: 4213-4216 - [c14]Ngoc Thang Vu, Tanja Schultz, Daniel Povey:
Modeling gender dependency in the Subspace GMM framework. ICASSP 2012: 4345-4348 - [c13]Ngoc Thang Vu, Dau-Cheng Lyu, Jochen Weiner, Dominic Telaar, Tim Schlippe, Fabian Blaicher, Engsiong Chng, Tanja Schultz, Haizhou Li:
A first speech recognition system for Mandarin-English code-switch conversational speech. ICASSP 2012: 4889-4892 - [c12]Tim Schlippe, Sebastian Ochs, Ngoc Thang Vu, Tanja Schultz:
Automatic Error Recovery for Pronunciation Dictionaries. INTERSPEECH 2012: 2298-2301 - [c11]Ngoc Thang Vu, Wojtek Breiter, Florian Metze, Tanja Schultz:
Initialization Schemes for Multilayer Perceptron Training and their Impact on ASR Performance using Multilingual Data. INTERSPEECH 2012: 2586-2589 - [c10]Tim Schlippe, Edy Guevara Komgang Djomgang, Ngoc Thang Vu, Sebastian Ochs, Tanja Schultz:
Hausa large vocabulary continuous speech recognition. SLTU 2012: 11-14 - [c9]Jochen Weiner, Ngoc Thang Vu, Dominic Telaar, Florian Metze, Tanja Schultz, Dau-Cheng Lyu, Engsiong Chng, Haizhou Li:
Integration of language identification into a recognition system for spoken conversations containing code-Switches. SLTU 2012: 76-79 - [c8]Ngoc Thang Vu, Florian Metze, Tanja Schultz:
Multilingual bottle-neck features and its application for under-resourced languages. SLTU 2012: 90-93 - 2011
- [c7]Ngoc Thang Vu, Franziska Kraus, Tanja Schultz:
Cross-language bootstrapping based on completely unsupervised training using multilingual A-stabil. ICASSP 2011: 5000-5003 - [c6]Ngoc Thang Vu, Franziska Kraus, Tanja Schultz:
Rapid Building of an ASR System for Under-Resourced Languages Based on Multilingual Unsupervised Training. INTERSPEECH 2011: 3145-3148 - [c5]Lori Lamel, Sandrine Courcinous, Julien Despres, Jean-Luc Gauvain, Yvan Josse, Kevin Kilgour, Florian Kraft, Viet Bac Le, Hermann Ney, Markus Nußbaum-Thom, Ilya Oparin, Tim Schlippe, Ralf Schlüter, Tanja Schultz, Thiago Fraga-Silva, Sebastian Stüker, Martin Sundermeyer, Bianca Vieru, Ngoc Thang Vu, Alex Waibel, Cécile Woehrling:
Speech recognition for machine translation in Quaero. IWSLT 2011: 121-128 - 2010
- [c4]Ngoc Thang Vu, Tim Schlippe, Franziska Kraus, Tanja Schultz:
Rapid bootstrapping of five eastern european languages using the rapid language adaptation toolkit. INTERSPEECH 2010: 865-868 - [c3]Ngoc Thang Vu, Franziska Kraus, Tanja Schultz:
Multilingual a-stabil: A new confidence score for multilingual unsupervised training. SLT 2010: 183-188 - [c2]Ngoc Thang Vu, Tanja Schultz:
Optimization on Vietnamese large vocabulary speech recognition. SLTU 2010: 104-110
2000 – 2009
- 2009
- [c1]Ngoc Thang Vu, Tanja Schultz:
Vietnamese large vocabulary continuous speech recognition. ASRU 2009: 333-338
Coauthor Index
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