Hermann Ney - researchr alias

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Viewing Publication 1 - 100 from 833

2024

2023

RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech RecognitionWei Zhou 0043, Eugen Beck, Simon Berger, Ralf Schlüter, Hermann Ney. interspeech 2023: 4094-4098 [doi]

On Search Strategies for Document-Level Neural Machine TranslationChristian Herold, Hermann Ney. acl 2023: 12827-12836 [doi]

Improving Language Model Integration for Neural Machine TranslationChristian Herold, Yingbo Gao, Mohammad Zeineldeen, Hermann Ney. acl 2023: 7114-7123 [doi]

End-To-End Training of a Neural HMM with Label and Transition ProbabilitiesDaniel Mann, Tina Raissi, Wilfried Michel, Ralf Schlüter, Hermann Ney. asru 2023: 1-8 [doi]

Document-Level Language Models for Machine TranslationFrithjof Petrick, Christian Herold, Pavel Petrushkov, Shahram Khadivi, Hermann Ney. wmt 2023: 375-391 [doi]

Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You ThinkTina Raissi, Christoph Lüscher, Moritz Gunz, Ralf Schlüter, Hermann Ney. interspeech 2023: 4938-4942 [doi]

Efficient Utilization of Large Pre-Trained Models for Low Resource ASRPeter Vieting, Christoph Lüscher, Julian Dierkes, Ralf Schlüter, Hermann Ney. icassp 2023: 1-5 [doi]

Investigating The Effect of Language Models in Sequence Discriminative Training For Neural TransducersZijian Yang, Wei Zhou 0043, Ralf Schlüter, Hermann Ney. asru 2023: 1-8 [doi]

Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural TransducersZijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney. icassp 2023: 1-5 [doi]

Enhancing and Adversarial: Improve ASR with Speaker LabelsWei Zhou, Haotian Wu, Jingjing Xu, Mohammad Zeineldeen, Christoph Lüscher, Ralf Schlüter, Hermann Ney. icassp 2023: 1-5 [doi]

2022

Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel ModelNico Daheim, David Thulke, Christian Dugast, Hermann Ney. emnlp 2022: 1365-1381 [doi]

Is Encoder-Decoder Redundant for Neural Machine Translation?Yingbo Gao, Christian Herold, Zijian Yang, Hermann Ney. ijcnlp 2022: 562-574 [doi]

Revisiting Checkpoint Averaging for Neural Machine TranslationYingbo Gao, Christian Herold, Zijian Yang, Hermann Ney. ijcnlp 2022: 188-196 [doi]

Detecting Various Types of Noise for Neural Machine TranslationChristian Herold, Jan Rosendahl, Joris Vanvinckenroye, Hermann Ney. acl 2022: 2542-2551 [doi]

Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] TokenBaohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz. emnlp 2022: 1478-1492 [doi]

Automatic Learning of Subword Dependent Model ScalesFelix Meyer, Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney. interspeech 2022: 4133-4136 [doi]

Locality-Sensitive Hashing for Long Context Neural Machine TranslationFrithjof Petrick, Jan Rosendahl, Christian Herold, Hermann Ney. iwslt 2022: 32-42 [doi]

Improving Factored Hybrid HMM Acoustic Modeling without State TyingTina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney. icassp 2022: 7442-7446 [doi]

HMM vs. CTC for Automatic Speech Recognition: Comparison Based on Full-Sum Training from ScratchTina Raissi, Wei Zhou 0043, Simon Berger, Ralf Schlüter, Hermann Ney. slt 2022: 287-294 [doi]

Does Joint Training Really Help Cascaded Speech Translation?Viet Anh Khoa Tran, David Thulke, Yingbo Gao, Christian Herold, Hermann Ney. emnlp 2022: 4480-4487 [doi]

Efficient Sequence Training of Attention Models Using Approximative RecombinationNils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney. icassp 2022: 8002-8006 [doi]

Self-Normalized Importance Sampling for Neural Language ModelingZijian Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney. interspeech 2022: 3909-3913 [doi]

Conformer-Based Hybrid ASR System For Switchboard DatasetMohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney. icassp 2022: 7437-7441 [doi]

Improving the Training Recipe for a Robust Conformer-based Hybrid ModelMohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Ralf Schlüter, Hermann Ney. interspeech 2022: 1036-1040 [doi]

Monotonic Segmental Attention for Automatic Speech RecognitionAlbert Zeyer, Robin Schmitt, Wei Zhou 0043, Ralf Schlüter, Hermann Ney. slt 2022: 229-236 [doi]

Efficient Training of Neural Transducer for Speech RecognitionWei Zhou, Wilfried Michel, Ralf Schlüter, Hermann Ney. interspeech 2022: 2058-2062 [doi]

On Language Model Integration for RNN Transducer Based Speech RecognitionWei Zhou, Zuoyun Zheng, Ralf Schlüter, Hermann Ney. icassp 2022: 8407-8411 [doi]

2021

Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling Using a Two-Dimensional GridParnia Bahar, Christopher Brix, Hermann Ney. slt 2021: 1065-1070 [doi]

Tight Integrated End-to-End Training for Cascaded Speech TranslationParnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney. slt 2021: 950-957 [doi]

Cascaded Span Extraction and Response Generation for Document-Grounded DialogNico Daheim, David Thulke, Christian Dugast, Hermann Ney. acl-dialdoc 2021: 57-62 [doi]

On Sampling-Based Training Criteria for Neural Language ModelingYingbo Gao, David Thulke, Alexander Gerstenberger, Khoa Viet Tran, Ralf Schlüter, Hermann Ney. interspeech 2021: 1877-1881 [doi]

Data Filtering using Cross-Lingual Word EmbeddingsChristian Herold, Jan Rosendahl, Joris Vanvinckenroye, Hermann Ney. naacl 2021: 162-172 [doi]

Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep LearningHermann Ney. interspeech 2021: [doi]

Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition ArchitecturesNick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney. asru 2021: 788-795 [doi]

Investigation on Data Adaptation Techniques for Neural Named Entity RecognitionEvgeniia Tokarchuk, David Thulke, Weiyue Wang, Christian Dugast, Hermann Ney. acl 2021: 1-15 [doi]

Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive TransformerEvgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney. iwslt 2021: 276-286 [doi]

On Architectures and Training for Raw Waveform Feature Extraction in ASRPeter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney. asru 2021: 267-274 [doi]

Transformer-Based Direct Hidden Markov Model for Machine TranslationWeiyue Wang, Zijian Yang, Yingbo Gao, Hermann Ney. acl 2021: 23-32 [doi]

Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR ModelsMohammad Zeineldeen, Aleksandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney. interspeech 2021: 2856-2860 [doi]

Librispeech Transducer Model with Internal Language Model Prior CorrectionAlbert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney. interspeech 2021: 2052-2056 [doi]

Acoustic Data-Driven Subword Modeling for End-to-End Speech RecognitionWei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney. interspeech 2021: 2886-2890 [doi]

Phoneme Based Neural Transducer for Large Vocabulary Speech RecognitionWei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney. icassp 2021: 5644-5648 [doi]

Equivalence of Segmental and Neural Transducer Modeling: A Proof of ConceptWei Zhou, Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney. interspeech 2021: 2891-2895 [doi]

2020

Investigation of Transformer-based Latent Attention Models for Neural Machine TranslationParnia Bahar, Nikita Makarov, Hermann Ney. amta 2020: 7-20 [doi]

Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech RecognitionParnia Bahar, Nikita Makarov, Albert Zeyer, Ralf Schlüter, Hermann Ney. icassp 2020: 7854-7858 [doi]

LVCSR with Transformer Language ModelsEugen Beck, Ralf Schlüter, Hermann Ney. interspeech 2020: 1798-1802 [doi]

A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASRVitalii Bozheniuk, Albert Zeyer, Ralf Schlüter, Hermann Ney. icassp 2020: 7674-7678 [doi]

Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer ArchitectureChristopher Brix, Parnia Bahar, Hermann Ney. acl 2020: 3909-3915 [doi]

Proceedings of the 17th International Conference on Spoken Language TranslationMarcello Federico, Alex Waibel, Kevin Knight, Satoshi Nakamura 0001, Hermann Ney, Jan Niehues, Sebastian Stüker, Dekai Wu, Joseph Mariani, François Yvon. iwslt 2020: [doi]

Unifying Input and Output Smoothing in Neural Machine TranslationYingbo Gao, Baohao Liao, Hermann Ney. COLING 2020: 4361-4372 [doi]

Towards a Better Understanding of Label Smoothing in Neural Machine TranslationYingbo Gao, Weiyue Wang, Christian Herold, Zijian Yang, Hermann Ney. ijcnlp 2020: 212-223 [doi]

Domain Robust, Fast, and Compact Neural Language ModelsAlexander Gerstenberger, Kazuki Irie, Pavel Golik, Eugen Beck, Hermann Ney. icassp 2020: 7954-7958 [doi]

ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and EmbeddingHarald Hanselmann, Hermann Ney. wacv 2020: 1236-1245 [doi]

Pivot Lightly-Supervised Training for Statistical Machine TranslationMatthias Huck, Hermann Ney. amta 2012: [doi]

Diving Deep into Context-Aware Neural Machine TranslationJingjing Huo, Christian Herold, Yingbo Gao, Leonard Dahlmann, Shahram Khadivi, Hermann Ney. wmt 2020: 604-616 [doi]

Investigation of Large-Margin Softmax in Neural Language ModelingJingjing Huo, Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney. interspeech 2020: 3645-3649 [doi]

How Much Self-Attention Do We Needƒ Trading Attention for Feed-Forward LayersKazuki Irie, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney. icassp 2020: 6154-6158 [doi]

When and Why is Unsupervised Neural Machine Translation Useless?Yunsu Kim, Miguel Graça, Hermann Ney. eamt 2020: 35-44 [doi]

Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language VideosOscar Koller, Necati Cihan Camgöz, Hermann Ney, Richard Bowden. pami, 42(9):2306-2320, 2020. [doi]

Neural Language Modeling for Named Entity RecognitionZhihong Lei, Weiyue Wang, Christian Dugast, Hermann Ney. COLING 2020: 6937-6941 [doi]

Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine TranslationBaohao Liao, Yingbo Gao, Hermann Ney. emnlp 2020: 1715-1724 [doi]

Frame-Level MMI as A Sequence Discriminative Training Criterion for LVCSRWilfried Michel, Ralf Schlüter, Hermann Ney. icassp 2020: 6904-6908 [doi]

Early Stage LM Integration Using Local and Global Log-Linear CombinationWilfried Michel, Ralf Schlüter, Hermann Ney. interspeech 2020: 3605-3609 [doi]

Context-Dependent Acoustic Modeling Without Explicit Phone ClusteringTina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney. interspeech 2020: 4377-4381 [doi]

Generating Synthetic Audio Data for Attention-Based Speech Recognition SystemsNick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney. icassp 2020: 7069-7073 [doi]

Towards a Better Evaluation of Metrics for Machine TranslationPeter Stanchev, Weiyue Wang, Hermann Ney. wmt 2020: 928-933 [doi]

Predicting and Using Target Length in Neural Machine TranslationZijian Yang, Yingbo Gao, Weiyue Wang, Hermann Ney. ijcnlp 2020: 389-395 [doi]

Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASRMohammad Zeineldeen, Albert Zeyer, Ralf Schlüter, Hermann Ney. icassp 2020: 7679-7683 [doi]

A New Training Pipeline for an Improved Neural TransducerAlbert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney. interspeech 2020: 2812-2816 [doi]

Robust Beam Search for Encoder-Decoder Attention Based Speech Recognition Without Length BiasWei Zhou, Ralf Schlüter, Hermann Ney. interspeech 2020: 1768-1772 [doi]

Full-Sum Decoding for Hybrid Hmm Based Speech Recognition Using LSTM Language ModelWei Zhou, Ralf Schlüter, Hermann Ney. icassp 2020: 7834-7838 [doi]

The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With SpecaugmentWei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney. icassp 2020: 7839-7843 [doi]

2019

A Comparative Study on End-to-End Speech to Text TranslationParnia Bahar, Tobias Bieschke, Hermann Ney. asru 2019: 792-799 [doi]

On Using 2D Sequence-to-sequence Models for Speech RecognitionParnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney. icassp 2019: 5671-5675 [doi]

On Using SpecAugment for End-to-End Speech TranslationParnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney. iwslt 2019: [doi]

Data Processing Techniques for the TAC-KBP 2019 EDL TaskQihui Feng, Weiyue Wang, Evgeniia Tokarchuk, Christian Dugast, Hermann Ney. tac 2019: [doi]

uniblock: Scoring and Filtering Corpus with Unicode Block InformationYingbo Gao, Weiyue Wang, Hermann Ney. emnlp 2019: 1324-1329 [doi]

Exploring Kernel Functions in the Softmax Layer for Contextual Word ClassificationYingbo Gao, Christian Herold, Weiyue Wang 0001, Hermann Ney. iwslt 2019: [doi]

Generalizing Back-Translation in Neural Machine TranslationMiguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney. wmt 2019: 45-52 [doi]

Training Language Models for Long-Span Cross-Sentence EvaluationKazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney. asru 2019: 419-426 [doi]

Language Modeling with Deep TransformersKazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney. interspeech 2019: 3905-3909 [doi]

Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer PerceptronYunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney. rep4nlp 2019: 61-71 [doi]

Pivot-based Transfer Learning for Neural Machine Translation between Non-English LanguagesYunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney. emnlp 2019: 866-876 [doi]

Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesYunsu Kim, Yingbo Gao, Hermann Ney. acl 2019: 1246-1257 [doi]

Cumulative Adaptation for BLSTM Acoustic ModelsMarkus Kitza, Pavel Golik, Ralf Schlüter, Hermann Ney. interspeech 2019: 754-758 [doi]

RWTH ASR Systems for LibriSpeech: Hybrid vs AttentionChristoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney. interspeech 2019: 231-235 [doi]

Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping SpeechTobias Menne, Ilya Sklyar, Ralf Schlüter, Hermann Ney. interspeech 2019: 2638-2642 [doi]

Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASRTobias Menne, Ralf Schlüter, Hermann Ney. icassp 2019: 6660-6664 [doi]

An Analysis of Local Monotonic Attention VariantsAndré Merboldt, Albert Zeyer, Ralf Schlüter, Hermann Ney. interspeech 2019: 1398-1402 [doi]

Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSRWilfried Michel, Ralf Schlüter, Hermann Ney. interspeech 2019: 1601-1605 [doi]

Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word EmbeddingsAnna Piunova, Eugen Beck, Ralf Schlüter, Hermann Ney. interspeech 2019: 4205-4209 [doi]

Analysis of Positional Encodings for Neural Machine TranslationJan Rosendahl, Viet Anh Khoa Tran, Weiyue Wang 0001, Hermann Ney. iwslt 2019: [doi]

The RWTH Aachen University Machine Translation Systems for WMT 2019Jan Rosendahl, Christian Herold, Yunsu Kim, Miguel Graça, Weiyue Wang, Parnia Bahar, Yingbo Gao, Hermann Ney. wmt 2019: 349-355 [doi]

Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context ReductionRalf Schlüter, Eugen Beck, Hermann Ney. pami, 41(2):502-514, 2019. [doi]

EED: Extended Edit Distance Measure for Machine TranslationPeter Stanchev, Weiyue Wang, Hermann Ney. wmt 2019: 514-520 [doi]

A Comparison of Transformer and LSTM Encoder Decoder Models for ASRAlbert Zeyer, Parnia Bahar, Kazuki Irie, Ralf Schlüter, Hermann Ney. asru 2019: 8-15 [doi]

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