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ORCIDRalf Schlüter
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- affiliation: RWTH Aachen University, Germany
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2020 – today
- 2024
[j17]Rohit Prabhavalkar
, Takaaki Hori, Tara N. Sainath, Ralf Schlüter, Shinji Watanabe:
End-to-End Speech Recognition: A Survey. IEEE ACM Trans. Audio Speech Lang. Process. 32: 325-351 (2024)- [c226]Mohammad Zeineldeen, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Chunked Attention-Based Encoder-Decoder Model for Streaming Speech Recognition. ICASSP 2024: 11331-11335 - [c225]Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney:
On the Relation Between Internal Language Model and Sequence Discriminative Training for Neural Transducers. ICASSP 2024: 12627-12631 - [i66]Tina Raissi, Christoph Lüscher, Simon Berger, Ralf Schlüter, Hermann Ney:
Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality. CoRR abs/2407.11641 (2024) - [i65]Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter:
On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures. CoRR abs/2407.17997 (2024) - [i64]Jingjing Xu, Wei Zhou, Zijian Yang, Eugen Beck, Ralf Schlüter:
Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition. CoRR abs/2407.18930 (2024) - [i63]Nick Rossenbach, Ralf Schlüter, Sakriani Sakti:
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition. CoRR abs/2407.21476 (2024) - [i62]Zijian Yang, Vahe Eminyan, Ralf Schlüter, Hermann Ney:
Refined Statistical Bounds for Classification Error Mismatches with Constrained Bayes Error. CoRR abs/2409.01309 (2024) - [i61]Robin Schmitt, Albert Zeyer, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney:
The Conformer Encoder May Reverse the Time Dimension. CoRR abs/2410.00680 (2024) - 2023
- [c224]Daniel Mann, Tina Raissi, Wilfried Michel, Ralf Schlüter, Hermann Ney:
End-To-End Training of a Neural HMM with Label and Transition Probabilities. ASRU 2023: 1-8 - [c223]Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter:
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition. ASRU 2023: 1-8 - [c222]Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney:
Investigating The Effect of Language Models in Sequence Discriminative Training For Neural Transducers. ASRU 2023: 1-8 - [c221]Peter Vieting, Christoph Lüscher, Julian Dierkes, Ralf Schlüter, Hermann Ney:
Efficient Utilization of Large Pre-Trained Models for Low Resource ASR. ICASSP Workshops 2023: 1-5 - [c220]Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney:
Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers. ICASSP 2023: 1-5 - [c219]Wei Zhou, Haotian Wu, Jingjing Xu, Mohammad Zeineldeen, Christoph Lüscher, Ralf Schlüter, Hermann Ney:
Enhancing and Adversarial: Improve ASR with Speaker Labels. ICASSP 2023: 1-5 - [c218]Simon Berger, Peter Vieting, Christoph Böddeker, Ralf Schlüter, Reinhold Haeb-Umbach:
Mixture Encoder for Joint Speech Separation and Recognition. INTERSPEECH 2023: 3527-3531 - [c217]Wei Zhou, Eugen Beck, Simon Berger, Ralf Schlüter, Hermann Ney:
RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition. INTERSPEECH 2023: 4094-4098 - [c216]Tina Raissi, Christoph Lüscher, Moritz Gunz, Ralf Schlüter, Hermann Ney:
Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think. INTERSPEECH 2023: 4938-4942 - [i60]Christoph Lüscher, Jingjing Xu, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney:
Improving And Analyzing Neural Speaker Embeddings for ASR. CoRR abs/2301.04571 (2023) - [i59]Rohit Prabhavalkar, Takaaki Hori, Tara N. Sainath, Ralf Schlüter, Shinji Watanabe:
End-to-End Speech Recognition: A Survey. CoRR abs/2303.03329 (2023) - [i58]Wei Zhou, Eugen Beck, Simon Berger, Ralf Schlüter, Hermann Ney:
RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition. CoRR abs/2305.17782 (2023) - [i57]Tina Raissi, Christoph Lüscher, Moritz Gunz, Ralf Schlüter, Hermann Ney:
Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think. CoRR abs/2306.09517 (2023) - [i56]Simon Berger, Peter Vieting, Christoph Böddeker, Ralf Schlüter, Reinhold Haeb-Umbach:
Mixture Encoder for Joint Speech Separation and Recognition. CoRR abs/2306.12173 (2023) - [i55]Peter Vieting, Ralf Schlüter, Hermann Ney:
Comparative Analysis of the wav2vec 2.0 Feature Extractor. CoRR abs/2308.04286 (2023) - [i54]Mohammad Zeineldeen, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Chunked Attention-based Encoder-Decoder Model for Streaming Speech Recognition. CoRR abs/2309.08436 (2023) - [i53]Peter Vieting, Simon Berger, Thilo von Neumann, Christoph Böddeker, Ralf Schlüter, Reinhold Haeb-Umbach:
Mixture Encoder Supporting Continuous Speech Separation for Meeting Recognition. CoRR abs/2309.08454 (2023) - [i52]Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney:
On the Relation between Internal Language Model and Sequence Discriminative Training for Neural Transducers. CoRR abs/2309.14130 (2023) - [i51]Daniel Mann, Tina Raissi, Wilfried Michel, Ralf Schlüter, Hermann Ney:
End-to-End Training of a Neural HMM with Label and Transition Probabilities. CoRR abs/2310.02724 (2023) - [i50]Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney:
Investigating the Effect of Language Models in Sequence Discriminative Training for Neural Transducers. CoRR abs/2310.07345 (2023) - [i49]Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter:
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition. CoRR abs/2310.08132 (2023) - 2022
- [c215]Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
Conformer-Based Hybrid ASR System For Switchboard Dataset. ICASSP 2022: 7437-7441 - [c214]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Improving Factored Hybrid HMM Acoustic Modeling without State Tying. ICASSP 2022: 7442-7446 - [c213]Nils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney:
Efficient Sequence Training of Attention Models Using Approximative Recombination. ICASSP 2022: 8002-8006 - [c212]Wei Zhou, Zuoyun Zheng, Ralf Schlüter, Hermann Ney:
On Language Model Integration for RNN Transducer Based Speech Recognition. ICASSP 2022: 8407-8411 - [c211]Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Ralf Schlüter, Hermann Ney:
Improving the Training Recipe for a Robust Conformer-based Hybrid Model. INTERSPEECH 2022: 1036-1040 - [c210]Wei Zhou, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Efficient Training of Neural Transducer for Speech Recognition. INTERSPEECH 2022: 2058-2062 - [c209]Zijian Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney:
Self-Normalized Importance Sampling for Neural Language Modeling. INTERSPEECH 2022: 3909-3913 - [c208]Felix Meyer, Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney:
Automatic Learning of Subword Dependent Model Scales. INTERSPEECH 2022: 4133-4136 - [c207]Michael Gansen, Jie Lou, Florian Freye, Tobias Gemmeke, Farhad Merchant, Albert Zeyer, Mohammad Zeineldeen, Ralf Schlüter, Xin Fan:
Discrete Steps towards Approximate Computing. ISQED 2022: 1-6 - [c206]Albert Zeyer, Robin Schmitt, Wei Zhou, Ralf Schlüter, Hermann Ney:
Monotonic Segmental Attention for Automatic Speech Recognition. SLT 2022: 229-236 - [c205]Tina Raissi, Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney:
HMM vs. CTC for Automatic Speech Recognition: Comparison Based on Full-Sum Training from Scratch. SLT 2022: 287-294 - [i48]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Improving Factored Hybrid HMM Acoustic Modeling without State Tying. CoRR abs/2201.09692 (2022) - [i47]Wei Zhou, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Efficient Training of Neural Transducer for Speech Recognition. CoRR abs/2204.10586 (2022) - [i46]Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Ralf Schlüter, Hermann Ney:
Improving the Training Recipe for a Robust Conformer-based Hybrid Model. CoRR abs/2206.12955 (2022) - [i45]Tina Raissi, Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney:
HMM vs. CTC for Automatic Speech Recognition: Comparison Based on Full-Sum Training from Scratch. CoRR abs/2210.09951 (2022) - [i44]Christoph Lüscher, Mohammad Zeineldeen, Zijian Yang, Peter Vieting, Khai Le-Duc, Weiyue Wang, Ralf Schlüter, Hermann Ney:
Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech. CoRR abs/2210.13397 (2022) - [i43]Albert Zeyer, Robin Schmitt, Wei Zhou, Ralf Schlüter, Hermann Ney:
Monotonic segmental attention for automatic speech recognition. CoRR abs/2210.14742 (2022) - [i42]Peter Vieting, Christoph Lüscher, Julian Dierkes, Ralf Schlüter, Hermann Ney:
Efficient Use of Large Pre-Trained Models for Low Resource ASR. CoRR abs/2210.15445 (2022) - [i41]Wei Zhou, Haotian Wu, Jingjing Xu, Mohammad Zeineldeen, Christoph Lüscher, Ralf Schlüter, Hermann Ney:
Enhancing and Adversarial: Improve ASR with Speaker Labels. CoRR abs/2211.06369 (2022) - [i40]Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney:
Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers. CoRR abs/2212.04325 (2022) - 2021
- [c204]Peter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney:
On Architectures and Training for Raw Waveform Feature Extraction in ASR. ASRU 2021: 267-274 - [c203]Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney:
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures. ASRU 2021: 788-795 - [c202]Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney:
Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition. ICASSP 2021: 5644-5648 - [c201]Yingbo Gao, David Thulke, Alexander Gerstenberger, Khoa Viet Tran, Ralf Schlüter, Hermann Ney:
On Sampling-Based Training Criteria for Neural Language Modeling. Interspeech 2021: 1877-1881 - [c200]Albert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Librispeech Transducer Model with Internal Language Model Prior Correction. Interspeech 2021: 2052-2056 - [c199]Mohammad Zeineldeen, Aleksandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR Models. Interspeech 2021: 2856-2860 - [c198]Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney:
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition. Interspeech 2021: 2886-2890 - [c197]Wei Zhou, Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept. Interspeech 2021: 2891-2895 - [c196]Yu Qiao, Wei Zhou, Elma Kerz, Ralf Schlüter:
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech. Interspeech 2021: 4453-4457 - [c195]Parnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney:
Tight Integrated End-to-End Training for Cascaded Speech Translation. SLT 2021: 950-957 - [i39]Albert Zeyer, Ralf Schlüter, Hermann Ney:
A study of latent monotonic attention variants. CoRR abs/2103.16710 (2021) - [i38]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Towards Consistent Hybrid HMM Acoustic Modeling. CoRR abs/2104.02387 (2021) - [i37]Albert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Librispeech Transducer Model with Internal Language Model Prior Correction. CoRR abs/2104.03006 (2021) - [i36]Peter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Feature Replacement and Combination for Hybrid ASR Systems. CoRR abs/2104.04298 (2021) - [i35]Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney:
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures. CoRR abs/2104.05379 (2021) - [i34]Mohammad Zeineldeen, Aleksandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models. CoRR abs/2104.05544 (2021) - [i33]Wei Zhou, Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept. CoRR abs/2104.06104 (2021) - [i32]Yu Qiao, Zhou Wei, Elma Kerz, Ralf Schlüter:
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech. CoRR abs/2104.08529 (2021) - [i31]Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney:
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition. CoRR abs/2104.09106 (2021) - [i30]Yingbo Gao, David Thulke, Alexander Gerstenberger, Khoa Viet Tran, Ralf Schlüter, Hermann Ney:
On Sampling-Based Training Criteria for Neural Language Modeling. CoRR abs/2104.10507 (2021) - [i29]Albert Zeyer, Ralf Schlüter, Hermann Ney:
Why does CTC result in peaky behavior? CoRR abs/2105.14849 (2021) - [i28]Wei Zhou, Zuoyun Zheng, Ralf Schlüter, Hermann Ney:
On Language Model Integration for RNN Transducer based Speech Recognition. CoRR abs/2110.06841 (2021) - [i27]Nils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney:
Efficient Sequence Training of Attention Models using Approximative Recombination. CoRR abs/2110.09245 (2021) - [i26]Felix Meyer, Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney:
Automatic Learning of Subword Dependent Model Scales. CoRR abs/2110.09324 (2021) - [i25]Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
Conformer-based Hybrid ASR System for Switchboard Dataset. CoRR abs/2111.03442 (2021) - [i24]Zijian Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney:
Self-Normalized Importance Sampling for Neural Language Modeling. CoRR abs/2111.06310 (2021) - [i23]Yu Qiao, Sourabh Zanwar, Rishab Bhattacharyya, Daniel Wiechmann, Wei Zhou, Elma Kerz, Ralf Schlüter:
Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features. CoRR abs/2111.07130 (2021) - 2020
- [c194]Kazuki Irie, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
How Much Self-Attention Do We Need? Trading Attention for Feed-Forward Layers. ICASSP 2020: 6154-6158 - [c193]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Frame-Level MMI as A Sequence Discriminative Training Criterion for LVCSR. ICASSP 2020: 6904-6908 - [c192]Nick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems. ICASSP 2020: 7069-7073 - [c191]Vitalii Bozheniuk, Albert Zeyer, Ralf Schlüter, Hermann Ney:
A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR. ICASSP 2020: 7674-7678 - [c190]Mohammad Zeineldeen, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR. ICASSP 2020: 7679-7683 - [c189]Wei Zhou, Ralf Schlüter, Hermann Ney:
Full-Sum Decoding for Hybrid Hmm Based Speech Recognition Using LSTM Language Model. ICASSP 2020: 7834-7838 - [c188]Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment. ICASSP 2020: 7839-7843 - [c187]Parnia Bahar, Nikita Makarov, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech Recognition. ICASSP 2020: 7854-7858 - [c186]Wei Zhou, Ralf Schlüter, Hermann Ney:
Robust Beam Search for Encoder-Decoder Attention Based Speech Recognition Without Length Bias. INTERSPEECH 2020: 1768-1772 - [c185]Eugen Beck, Ralf Schlüter, Hermann Ney:
LVCSR with Transformer Language Models. INTERSPEECH 2020: 1798-1802 - [c184]Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
A New Training Pipeline for an Improved Neural Transducer. INTERSPEECH 2020: 2812-2816 - [c183]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Early Stage LM Integration Using Local and Global Log-Linear Combination. INTERSPEECH 2020: 3605-3609 - [c182]Jingjing Huo, Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney:
Investigation of Large-Margin Softmax in Neural Language Modeling. INTERSPEECH 2020: 3645-3649 - [c181]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling Without Explicit Phone Clustering. INTERSPEECH 2020: 4377-4381 - [i22]Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment. CoRR abs/2004.00960 (2020) - [i21]Wei Zhou, Ralf Schlüter, Hermann Ney:
Full-Sum Decoding for Hybrid HMM based Speech Recognition using LSTM Language Model. CoRR abs/2004.00967 (2020) - [i20]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling without Explicit Phone Clustering. CoRR abs/2005.07578 (2020) - [i19]Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
A New Training Pipeline for an Improved Neural Transducer. CoRR abs/2005.09319 (2020) - [i18]Albert Zeyer, Wei Zhou, Thomas Ng, Ralf Schlüter, Hermann Ney:
Investigations on Phoneme-Based End-To-End Speech Recognition. CoRR abs/2005.09336 (2020) - [i17]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Early Stage LM Integration Using Local and Global Log-Linear Combination. CoRR abs/2005.10049 (2020) - [i16]Jingjing Huo, Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney:
Investigation of Large-Margin Softmax in Neural Language Modeling. CoRR abs/2005.10089 (2020) - [i15]Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney:
Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition. CoRR abs/2010.16368 (2020) - [i14]Parnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney:
Tight Integrated End-to-End Training for Cascaded Speech Translation. CoRR abs/2011.12167 (2020)
2010 – 2019
- 2019
- [j16]Ralf Schlüter, Eugen Beck, Hermann Ney:
Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 502-514 (2019) - [j15]Muhammad Ali Tahir, Heyun Huang, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Training of reduced-rank linear transformations for multi-layer polynomial acoustic features for speech recognition. Speech Commun. 110: 56-63 (2019) - [c180]Albert Zeyer, Parnia Bahar, Kazuki Irie, Ralf Schlüter, Hermann Ney:
A Comparison of Transformer and LSTM Encoder Decoder Models for ASR. ASRU 2019: 8-15 - [c179]Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Training Language Models for Long-Span Cross-Sentence Evaluation. ASRU 2019: 419-426 - [c178]Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On Using 2D Sequence-to-sequence Models for Speech Recognition. ICASSP 2019: 5671-5675 - [c177]Tobias Menne, Ralf Schlüter, Hermann Ney:
Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR. ICASSP 2019: 6660-6664 - [c176]Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention. INTERSPEECH 2019: 231-235 - [c175]Markus Kitza, Pavel Golik, Ralf Schlüter, Hermann Ney:
Cumulative Adaptation for BLSTM Acoustic Models. INTERSPEECH 2019: 754-758 - [c174]André Merboldt, Albert Zeyer, Ralf Schlüter, Hermann Ney:
An Analysis of Local Monotonic Attention Variants. INTERSPEECH 2019: 1398-1402 - [c173]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR. INTERSPEECH 2019: 1601-1605 - [c172]Tobias Menne, Ilya Sklyar, Ralf Schlüter, Hermann Ney:
Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech. INTERSPEECH 2019: 2638-2642 - [c171]Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Language Modeling with Deep Transformers. INTERSPEECH 2019: 3905-3909 - [c170]Anna Piunova, Eugen Beck, Ralf Schlüter, Hermann Ney:
Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings. INTERSPEECH 2019: 4205-4209 - [c169]Ralf Schlüter:
Survey Talk: Modeling in Automatic Speech Recognition: Beyond Hidden Markov Models. INTERSPEECH 2019 - [c168]Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On Using SpecAugment for End-to-End Speech Translation. IWSLT 2019 - [i13]Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention - w/o Data Augmentation. CoRR abs/1905.03072 (2019) - [i12]Tobias Menne, Ilya Sklyar, Ralf Schlüter, Hermann Ney:
Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech. CoRR abs/1905.03500 (2019) - [i11]Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Language Modeling with Deep Transformers. CoRR abs/1905.04226 (2019) - [i10]Markus Kitza, Pavel Golik, Ralf Schlüter, Hermann Ney:
Cumulative Adaptation for BLSTM Acoustic Models. CoRR abs/1906.06207 (2019) - [i9]Eugen Beck, Wei Zhou, Ralf Schlüter, Hermann Ney:
LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring. CoRR abs/1907.01030 (2019) - [i8]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR. CoRR abs/1907.01409 (2019) - [i7]Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On Using SpecAugment for End-to-End Speech Translation. CoRR abs/1911.08876 (2019) - [i6]Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On using 2D sequence-to-sequence models for speech recognition. CoRR abs/1911.08888 (2019) - [i5]Nick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems. CoRR abs/1912.09257 (2019) - 2018
- [c167]Eugen Beck, Albert Zeyer, Patrick Doetsch, André Merboldt, Ralf Schlüter, Hermann Ney:
Sequence Modeling and Alignment for LVCSR-Systems. ITG Symposium on Speech Communication 2018: 1-5 - [c166]Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Acoustic Modeling of Speech Waveform Based on Multi-Resolution, Neural Network Signal Processing. ICASSP 2018: 4859-4863 - [c165]Kazuki Irie, Zhihong Lei, Ralf Schlüter, Hermann Ney:
Prediction of LSTM-RNN Full Context States as a Subtask for N-Gram Feedforward Language Models. ICASSP 2018: 6104-6108 - [c164]Albert Zeyer, Kazuki Irie, Ralf Schlüter, Hermann Ney:
Improved Training of End-to-end Attention Models for Speech Recognition. INTERSPEECH 2018: 7-11 - [c163]Kazuki Irie, Zhihong Lei, Liuhui Deng, Ralf Schlüter, Hermann Ney:
Investigation on Estimation of Sentence Probability by Combining Forward, Backward and Bi-directional LSTM-RNNs. INTERSPEECH 2018: 392-395 - [c162]Eugen Beck, Mirko Hannemann, Patrick Dötsch, Ralf Schlüter, Hermann Ney:
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition. INTERSPEECH 2018: 766-770 - [c161]Markus Kitza, Ralf Schlüter, Hermann Ney:
Comparison of BLSTM-Layer-Specific Affine Transformations for Speaker Adaptation. INTERSPEECH 2018: 877-881 - [c160]Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition. INTERSPEECH 2018: 3358-3362 - [c159]Tobias Menne, Ralf Schlüter, Hermann Ney:
Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition. SLT 2018: 535-541 - [i4]Albert Zeyer, Kazuki Irie, Ralf Schlüter, Hermann Ney:
Improved training of end-to-end attention models for speech recognition. CoRR abs/1805.03294 (2018) - [i3]Tobias Menne, Ralf Schlüter, Hermann Ney:
Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition. CoRR abs/1806.07407 (2018) - 2017
- [j14]Patrick Doetsch, Mirko Hannemann, Ralf Schlüter, Hermann Ney:
Inverted Alignments for End-to-End Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 11(8): 1265-1273 (2017) - [c158]Markus Nußbaum-Thom, Ralf Schlüter, Vaibhava Goel, Hermann Ney:
Noisy objective functions based on the f-divergence. ICASSP 2017: 2327-2331 - [c157]Albert Zeyer, Patrick Doetsch, Paul Voigtlaender, Ralf Schlüter, Hermann Ney:
A comprehensive study of deep bidirectional LSTM RNNS for acoustic modeling in speech recognition. ICASSP 2017: 2462-2466 - [c156]Albert Zeyer, Ilia Kulikov, Ralf Schlüter, Hermann Ney:
Faster sequence training. ICASSP 2017: 5285-5289 - [c155]Patrick Doetsch, Albert Zeyer, Paul Voigtlaender, Ilia Kulikov, Ralf Schlüter, Hermann Ney:
Returnn: The RWTH extensible training framework for universal recurrent neural networks. ICASSP 2017: 5345-5349 - [c154]Kazuki Irie, Pavel Golik, Ralf Schlüter, Hermann Ney:
Investigations on byte-level convolutional neural networks for language modeling in low resource speech recognition. ICASSP 2017: 5740-5744 - [c153]Albert Zeyer, Eugen Beck, Ralf Schlüter, Hermann Ney:
CTC in the Context of Generalized Full-Sum HMM Training. INTERSPEECH 2017: 944-948 - [c152]Zoltán Tüske, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Parallel Neural Network Features for Improved Tandem Acoustic Modeling. INTERSPEECH 2017: 1651-1655 - [c151]Pavel Golik, Zoltán Tüske, Kazuki Irie, Eugen Beck, Ralf Schlüter, Hermann Ney:
The 2016 RWTH Keyword Search System for Low-Resource Languages. SPECOM 2017: 719-730 - 2016
- [c150]Markus Kitza, Albert Zeyer, Ralf Schlüter, Jahn Heymann, Reinhold Haeb-Umbach:
Robust Online Multi-Channel Speech Recognition. ITG Symposium on Speech Communication 2016: 1-5 - [c149]Zoltán Tüske, Kazuki Irie, Ralf Schlüter, Hermann Ney:
Investigation on log-linear interpolation of multi-domain neural network language model. ICASSP 2016: 6005-6009 - [c148]Albert Zeyer, Ralf Schlüter, Hermann Ney:
Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models. INTERSPEECH 2016: 3424-3428 - [c147]Kazuki Irie, Zoltán Tüske, Tamer Alkhouli, Ralf Schlüter, Hermann Ney:
LSTM, GRU, Highway and a Bit of Attention: An Empirical Overview for Language Modeling in Speech Recognition. INTERSPEECH 2016: 3519-3523 - [c146]Wilfried Michel, Zoltán Tüske, M. Ali Basha Shaik, Ralf Schlüter, Hermann Ney:
The RWTH Aachen LVCSR system for IWSLT-2016 German Skype conversation recognition task. IWSLT 2016 - [c145]Ralf Schlüter, Patrick Doetsch, Pavel Golik, Markus Kitza, Tobias Menne, Kazuki Irie, Zoltán Tüske, Albert Zeyer:
Automatic Speech Recognition Based on Neural Networks. SPECOM 2016: 3-17 - [i2]Albert Zeyer, Patrick Doetsch, Paul Voigtlaender, Ralf Schlüter, Hermann Ney:
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition. CoRR abs/1606.06871 (2016) - [i1]Patrick Doetsch, Albert Zeyer, Paul Voigtlaender, Ilya Kulikov, Ralf Schlüter, Hermann Ney:
RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks. CoRR abs/1608.00895 (2016) - 2015
- [j13]Martin Sundermeyer, Hermann Ney, Ralf Schlüter:
From Feedforward to Recurrent LSTM Neural Networks for Language Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 517-529 (2015) - [c144]Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, Abhinav Sethy, Kartik Audhkhasi, Xiaodong Cui, Ellen Kislal, Lidia Mangu, Markus Nußbaum-Thom, Michael Picheny, Zoltán Tüske, Pavel Golik, Ralf Schlüter, Hermann Ney, Mark J. F. Gales, Kate M. Knill, Anton Ragni, Haipeng Wang, Philip C. Woodland:
Multilingual representations for low resource speech recognition and keyword search. ASRU 2015: 259-266 - [c143]Zoltán Tüske, Pavel Golik, Ralf Schlüter, Hermann Ney:
Speaker adaptive joint training of Gaussian mixture models and bottleneck features. ASRU 2015: 596-603 - [c142]Paul Voigtlaender, Patrick Doetsch, Simon Wiesler, Ralf Schlüter, Hermann Ney:
Sequence-discriminative training of recurrent neural networks. ICASSP 2015: 2100-2104 - [c141]Zoltán Tüske, Muhammad Ali Tahir, Ralf Schlüter, Hermann Ney:
Integrating Gaussian mixtures into deep neural networks: Softmax layer with hidden variables. ICASSP 2015: 4285-4289 - [c140]Simon Wiesler, Pavel Golik, Ralf Schlüter, Hermann Ney:
Investigations on sequence training of neural networks. ICASSP 2015: 4565-4569 - [c139]Muhammad Ali Tahir, Simon Wiesler, Ralf Schlüter, Hermann Ney:
Investigation of mixture splitting concept for training linear bottlenecks of deep neural network acoustic models. ICASSP 2015: 4614-4618 - [c138]M. Ali Basha Shaik, Amr El-Desoky Mousa, Stefan Hahn, Ralf Schlüter, Hermann Ney:
Improved strategies for a zero oov rate LVCSR system. ICASSP 2015: 5048-5052 - [c137]Jahn Heymann, Reinhold Haeb-Umbach, Pavel Golik, Ralf Schlüter:
Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. ICASSP 2015: 5053-5057 - [c136]Pavel Golik, Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Convolutional neural networks for acoustic modeling of raw time signal in LVCSR. INTERSPEECH 2015: 26-30 - [c135]Pavel Golik, Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Multilingual features based keyword search for very low-resource languages. INTERSPEECH 2015: 1260-1264 - [c134]Eugen Beck, Ralf Schlüter, Hermann Ney:
Error bounds for context reduction and feature omission. INTERSPEECH 2015: 1280-1284 - [c133]Kazuki Irie, Ralf Schlüter, Hermann Ney:
Bag-of-words input for long history representation in neural network-based language models for speech recognition. INTERSPEECH 2015: 2371-2375 - [c132]M. Ali Basha Shaik, Zoltán Tüske, Muhammad Ali Tahir, Markus Nußbaum-Thom, Ralf Schlüter, Hermann Ney:
Improvements in RWTH LVCSR evaluation systems for Polish, Portuguese, English, urdu, and Arabic. INTERSPEECH 2015: 3154-3158 - 2014
- [c131]Simon Wiesler, Alexander Richard, Ralf Schlüter, Hermann Ney:
Mean-normalized stochastic gradient for large-scale deep learning. ICASSP 2014: 180-184 - [c130]Simon Wiesler, Alexander Richard, Pavel Golik, Ralf Schlüter, Hermann Ney:
RASR/NN: The RWTH neural network toolkit for speech recognition. ICASSP 2014: 3281-3285 - [c129]Simon Wiesler, Kazuki Irie, Zoltán Tüske, Ralf Schlüter, Hermann Ney:
The RWTH English lecture recognition system. ICASSP 2014: 3286-3290 - [c128]Markus Nußbaum-Thom, Xiaodong Cui, Ralf Schlüter, Vaibhava Goel, Hermann Ney:
A family of discriminative training criteria based on the F-divergence for deep neural networks. ICASSP 2014: 5612-5616 - [c127]Zoltán Tüske, David Nolden, Ralf Schlüter, Hermann Ney:
Multilingual MRASTA features for low-resource keyword search and speech recognition systems. ICASSP 2014: 7854-7858 - [c126]Michal Kozielski, Martin Matysiak, Patrick Doetsch, Ralf Schlüter, Hermann Ney:
Open-Lexicon Language Modeling Combining Word and Character Levels. ICFHR 2014: 343-348 - [c125]David Nolden, Ralf Schlüter, Hermann Ney:
Word pair approximation for more efficient decoding with high-order language models. INTERSPEECH 2014: 646-650 - [c124]Martin Sundermeyer, Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Lattice decoding and rescoring with long-Span neural network language models. INTERSPEECH 2014: 661-665 - [c123]Zoltán Tüske, Pavel Golik, Ralf Schlüter, Hermann Ney:
Acoustic modeling with deep neural networks using raw time signal for LVCSR. INTERSPEECH 2014: 890-894 - [c122]M. Ali Basha Shaik, Zoltán Tüske, Muhammad Ali Tahir, Markus Nußbaum-Thom, Ralf Schlüter, Hermann Ney:
RWTH LVCSR systems for quaero and EU-bridge: German, Polish, Spanish and Portuguese. INTERSPEECH 2014: 973-977 - [c121]Zoltán Tüske, Pavel Golik, David Nolden, Ralf Schlüter, Hermann Ney:
Data augmentation, feature combination, and multilingual neural networks to improve ASR and KWS performance for low-resource languages. INTERSPEECH 2014: 1420-1424 - [c120]Martin Sundermeyer, Ralf Schlüter, Hermann Ney:
rwthlm - the RWTH aachen university neural network language modeling toolkit. INTERSPEECH 2014: 2093-2097 - 2013
- [j12]David Rybach, Hermann Ney, Ralf Schlüter:
Lexical Prefix Tree and WFST: A Comparison of Two Dynamic Search Concepts for LVCSR. IEEE Trans. Speech Audio Process. 21(6): 1295-1307 (2013) - [j11]Georg Heigold, Hermann Ney, Ralf Schlüter:
Investigations on an EM-Style Optimization Algorithm for Discriminative Training of HMMs. IEEE ACM Trans. Audio Speech Lang. Process. 21(12): 2616-2626 (2013) - [c119]David Nolden, Ralf Schlüter, Hermann Ney:
Efficient nearly error-less LVCSR decoding based on incremental forward and backward passes. ASRU 2013: 66-71 - [c118]Christian Plahl, Michal Kozielski, Ralf Schlüter, Hermann Ney:
Feature combination and stacking of recurrent and non-recurrent neural networks for LVCSR. ICASSP 2013: 6714-6718 - [c117]David Nolden, Ralf Schlüter, Hermann Ney:
Advanced search space pruning with acoustic look-ahead for WFST based LVCSR. ICASSP 2013: 6734-6738 - [c116]Simon Wiesler, Alexander Richard, Ralf Schlüter, Hermann Ney:
A critical evaluation of stochastic algorithms for convex optimization. ICASSP 2013: 6955-6959 - [c115]Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Deep hierarchical bottleneck MRASTA features for LVCSR. ICASSP 2013: 6970-6974 - [c114]Zoltán Tüske, Joel Pinto, Daniel Willett, Ralf Schlüter:
Investigation on cross- and multilingual MLP features under matched and mismatched acoustical conditions. ICASSP 2013: 7349-7353 - [c113]Michal Kozielski, David Rybach, Stefan Hahn, Ralf Schlüter, Hermann Ney:
Open vocabulary handwriting recognition using combined word-level and character-level language models. ICASSP 2013: 8257-8261 - [c112]Jonathan Mamou, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Brian Kingsbury, Kate M. Knill, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland:
System combination and score normalization for spoken term detection. ICASSP 2013: 8272-8276 - [c111]Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Kate M. Knill, Jonathan Mamou, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland:
A high-performance Cantonese keyword search system. ICASSP 2013: 8277-8281 - [c110]Martin Sundermeyer, Ilya Oparin, Jean-Luc Gauvain, B. Freiberg, Ralf Schlüter, Hermann Ney:
Comparison of feedforward and recurrent neural network language models. ICASSP 2013: 8430-8434 - [c109]Stefan Hahn, Patrick Lehnen, Simon Wiesler, Ralf Schlüter, Hermann Ney:
Improving LVCSR with hidden conditional random fields for grapheme-to-phoneme conversion. INTERSPEECH 2013: 495-499 - [c108]Markus Nußbaum-Thom, Eugen Beck, Tamer Alkhouli, Ralf Schlüter, Hermann Ney:
Relative error bounds for statistical classifiers based on the f-divergence. INTERSPEECH 2013: 2197-2201 - [c107]Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Multilingual hierarchical MRASTA features for ASR. INTERSPEECH 2013: 2222-2226 - [c106]Pavel Golik, Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Development of the RWTH transcription system for slovenian. INTERSPEECH 2013: 3107-3111 - [c105]Muhammad Ali Tahir, Heyun Huang, Ralf Schlüter, Hermann Ney, Louis ten Bosch, Bert Cranen, Lou Boves:
Training log-linear acoustic models in higher-order polynomial feature space for speech recognition. INTERSPEECH 2013: 3352-3355 - [c104]M. Ali Basha Shaik, Amr El-Desoky Mousa, Ralf Schlüter, Hermann Ney:
Feature-rich sub-lexical language models using a maximum entropy approach for German LVCSR. INTERSPEECH 2013: 3404-3408 - [c103]Amr El-Desoky Mousa, M. Ali Basha Shaik, Ralf Schlüter, Hermann Ney:
Morpheme level hierarchical pitman-yor class-based language models for LVCSR of morphologically rich languages. INTERSPEECH 2013: 3409-3413 - [c102]Ralf Schlüter, Markus Nußbaum-Thom, Eugen Beck, Tamer Alkhouli, Hermann Ney:
Novel tight classification error bounds under mismatch conditions based on f-Divergence. ITW 2013: 1-5 - [c101]M. Ali Basha Shaik, Zoltán Tüske, Simon Wiesler, Markus Nußbaum-Thom, Stephan Peitz, Ralf Schlüter, Hermann Ney:
The RWTH Aachen German and English LVCSR systems for IWSLT-2013. IWSLT (Evaluation Campaign) 2013 - 2012
- [j10]Ralf Schlüter, Markus Nußbaum-Thom, Hermann Ney:
Does the Cost Function Matter in Bayes Decision Rule? IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 292-301 (2012) - [j9]Georg Heigold, Hermann Ney, Ralf Schlüter, Simon Wiesler:
Discriminative Training for Automatic Speech Recognition: Modeling, Criteria, Optimization, Implementation, and Performance. IEEE Signal Process. Mag. 29(6): 58-69 (2012) - [j8]Björn Hoffmeister, Georg Heigold, David Rybach, Ralf Schlüter, Hermann Ney:
WFST Enabled Solutions to ASR Problems: Beyond HMM Decoding. IEEE Trans. Speech Audio Process. 20(2): 551-564 (2012) - [c100]Yotaro Kubo, Shinji Watanabe, Atsushi Nakamura, Simon Wiesler, Ralf Schlüter, Hermann Ney:
Basis vector orthogonalization for an improved kernel gradient matching pursuit method. ICASSP 2012: 1909-1912 - [c99]Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Comparison and combination of different CRBE based MLP features for LVCSR. ICASSP 2012: 4081-4084 - [c98]David Rybach, Ralf Schlüter, Hermann Ney:
Silence is golden: Modeling non-speech events in WFST-based dynamic network decoders. ICASSP 2012: 4205-4208 - [c97]David Nolden, David Rybach, Ralf Schlüter, Hermann Ney:
Joining advantages of word-conditioned and token-passing decoding. ICASSP 2012: 4425-4428 - [c96]David Nolden, Ralf Schlüter, Hermann Ney:
Extended search space pruning in LVCSR. ICASSP 2012: 4429-4432 - [c95]Amr El-Desoky Mousa, Ralf Schlüter, Hermann Ney:
Investigations on the use of morpheme level features in Language Models for Arabic LVCSR. ICASSP 2012: 5021-5024 - [c94]Zoltán Tüske, Ralf Schlüter, Hermann Ney, Martin Sundermeyer:
Context-Dependent MLPs for LVCSR: TANDEM, Hybrid or Both? INTERSPEECH 2012: 18-21 - [c93]Zoltán Tüske, Friedhelm R. Drepper, Ralf Schlüter:
Non-stationary signal processing and its application in speech recognition. SAPA@INTERSPEECH 2012: 34-39 - [c92]M. Ali Basha Shaik, David Rybach, Stefan Hahn, Ralf Schlüter, Hermann Ney:
Hierarchical hybrid language models for open vocabulary continuous speech recognition using WFST. SAPA@INTERSPEECH 2012: 46-51 - [c91]Amr El-Desoky Mousa, M. Ali Basha Shaik, Ralf Schlüter, Hermann Ney:
Morpheme Level Feature-based Language Models for German LVCSR. INTERSPEECH 2012: 170-173 - [c90]Martin Sundermeyer, Ralf Schlüter, Hermann Ney:
LSTM Neural Networks for Language Modeling. INTERSPEECH 2012: 194-197 - [c89]Muhammad Ali Tahir, Markus Nußbaum-Thom, Ralf Schlüter, Hermann Ney:
Simultaneous Discriminative Training and Mixture Splitting of HMMs for Speech Recognition. INTERSPEECH 2012: 571-574 - [c88]David Nolden, Ralf Schlüter, Hermann Ney:
Search Space Pruning Based on Anticipated Path Recombination in LVCSR. INTERSPEECH 2012: 1015-1018 - [c87]M. Ali Basha Shaik, Amr El-Desoky Mousa, Ralf Schlüter, Hermann Ney:
Investigation of Maximum Entropy Hybrid Language Models for Open Vocabulary German and Polish LVCSR. INTERSPEECH 2012: 1071-1074 - [c86]Simon Wiesler, Ralf Schlüter, Hermann Ney:
Accelerated Batch Learning of Convex Log-linear Models for LVCSR. INTERSPEECH 2012: 1207-1210 - [c85]Markus Nußbaum-Thom, Zoltán Tüske, Georg Heigold, Ralf Schlüter, Hermann Ney:
Posterior-Scaled MPE: Novel Discriminative Training Criteria. INTERSPEECH 2012: 2614-2617 - [c84]Zoltán Tüske, Friedhelm R. Drepper, Ralf Schlüter:
Phase difference of filter-stable part-tones as acoustic feature. SSP 2012: 365-368 - 2011
- [j7]Ralf Schlüter, Markus Nußbaum-Thom, Hermann Ney:
On the Relationship Between Bayes Risk and Word Error Rate in ASR. IEEE Trans. Speech Audio Process. 19(5): 1103-1112 (2011) - [j6]Georg Heigold, Hermann Ney, Patrick Lehnen, Tobias Gass, Ralf Schlüter:
Equivalence of Generative and Log-Linear Models. IEEE Trans. Speech Audio Process. 19(5): 1138-1148 (2011) - [c83]Simon Wiesler, Ralf Schlüter, Hermann Ney:
A convergence analysis of log-linear training and its application to speech recognition. ASRU 2011: 1-6 - [c82]Muhammad Ali Tahir, Ralf Schlüter, Hermann Ney:
Discriminative splitting of Gaussian/log-linear mixture HMMs for speech recognition. ASRU 2011: 7-11 - [c81]Christian Plahl, Ralf Schlüter, Hermann Ney:
Cross-lingual portability of Chinese and english neural network features for French and German LVCSR. ASRU 2011: 371-376 - [c80]Martin Sundermeyer, Markus Nußbaum-Thom, Simon Wiesler, Christian Plahl, Amr El-Desoky Mousa, Stefan Hahn, David Nolden, Ralf Schlüter, Hermann Ney:
The RWTH 2010 Quaero ASR evaluation system for English, French, and German. ICASSP 2011: 2212-2215 - [c79]Yotaro Kubo, Simon Wiesler, Ralf Schlüter, Hermann Ney, Shinji Watanabe, Atsushi Nakamura, Tetsunori Kobayashi:
Subspace pursuit method for kernel-log-linear models. ICASSP 2011: 4500-4503 - [c78]M. Ali Basha Shaik, Amr El-Desoky Mousa, Ralf Schlüter, Hermann Ney:
Using morpheme and syllable based sub-words for polish LVCSR. ICASSP 2011: 4680-4683 - [c77]David Nolden, Hermann Ney, Ralf Schlüter:
Exploiting sparseness of backing-off language models for efficient look-ahead in LVCSR. ICASSP 2011: 4684-4687 - [c76]David Rybach, Ralf Schlüter, Hermann Ney:
A comparative analysis of dynamic network decoding. ICASSP 2011: 5184-5187 - [c75]Zoltán Tüske, Pavel Golik, Ralf Schlüter, Friedhelm R. Drepper:
Non-stationary feature extraction for automatic speech recognition. ICASSP 2011: 5204-5207 - [c74]Simon Wiesler, Alexander Richard, Yotaro Kubo, Ralf Schlüter, Hermann Ney:
Feature selection for log-linear acoustic models. ICASSP 2011: 5324-5327 - [c73]David Nolden, Ralf Schlüter, Hermann Ney:
Acoustic Look-Ahead for More Efficient Decoding in LVCSR. INTERSPEECH 2011: 893-896 - [c72]Zoltán Tüske, Christian Plahl, Ralf Schlüter:
A Study on Speaker Normalized MLP Features in LVCSR. INTERSPEECH 2011: 1089-1092 - [c71]Christian Plahl, Ralf Schlüter, Hermann Ney:
Improved Acoustic Feature Combination for LVCSR by Neural Networks. INTERSPEECH 2011: 1237-1240 - [c70]Martin Sundermeyer, Ralf Schlüter, Hermann Ney:
On the Estimation of Discount Parameters for Language Model Smoothing. INTERSPEECH 2011: 1433-1436 - [c69]M. Ali Basha Shaik, Amr El-Desoky Mousa, Ralf Schlüter, Hermann Ney:
Hybrid Language Models Using Mixed Types of Sub-Lexical Units for Open Vocabulary German LVCSR. INTERSPEECH 2011: 1441-1444 - [c68]Amr El-Desoky Mousa, M. Ali Basha Shaik, Ralf Schlüter, Hermann Ney:
Morpheme Based Factored Language Models for German LVCSR. INTERSPEECH 2011: 1445-1448 - [c67]Markus Nußbaum-Thom, Amr El-Desoky Mousa, Ralf Schlüter, Hermann Ney:
Compound Word Recombination for German LVCSR. INTERSPEECH 2011: 1449-1452 - [c66]Muhammad Ali Tahir, Ralf Schlüter, Hermann Ney:
Log-Linear Optimization of Second-Order Polynomial Features with Subsequent Dimension Reduction for Speech Recognition. INTERSPEECH 2011: 1705-1708 - [c65]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
- [j5]Georg Heigold, Philippe Dreuw, Stefan Hahn, Ralf Schlüter, Hermann Ney:
Margin-Based Discriminative Training for String Recognition. IEEE J. Sel. Top. Signal Process. 4(6): 917-925 (2010) - [c64]Georg Heigold, Simon Wiesler, Markus Nußbaum-Thom, Patrick Lehnen, Ralf Schlüter, Hermann Ney:
Discriminative HMMS, log-linear models, and CRFS: What is the difference? ICASSP 2010: 5546-5549 - [c63]Simon Wiesler, Georg Heigold, Markus Nußbaum-Thom, Ralf Schlüter, Hermann Ney:
A discriminative splitting criterion for phonetic decision trees. INTERSPEECH 2010: 54-57 - [c62]Ralf Schlüter, Markus Nußbaum-Thom, Hermann Ney:
On the relation of Bayes risk, word error, and word posteriors in ASR. INTERSPEECH 2010: 230-233 - [c61]David Nolden, Hermann Ney, Ralf Schlüter:
Time conditioned search in automatic speech recognition reconsidered. INTERSPEECH 2010: 234-237 - [c60]Doddipatla Rama Sanand, Ralf Schlüter, Hermann Ney:
Revisiting VTLN using linear transformation on conventional MFCC. INTERSPEECH 2010: 538-541 - [c59]Christian Plahl, Ralf Schlüter, Hermann Ney:
Hierarchical bottle neck features for LVCSR. INTERSPEECH 2010: 1197-1200 - [c58]Naveen Parihar, Ralf Schlüter, David Rybach, Eric A. Hansen:
Parallel lexical-tree based LVCSR on multi-core processors. INTERSPEECH 2010: 1485-1488 - [c57]Markus Nußbaum-Thom, Simon Wiesler, Martin Sundermeyer, Christian Plahl, Stefan Hahn, Ralf Schlüter, Hermann Ney:
The RWTH 2009 quaero ASR evaluation system for English and German. INTERSPEECH 2010: 1517-1520 - [c56]Jonas Lööf, Ralf Schlüter, Hermann Ney:
Discriminative adaptation for log-linear acoustic models. INTERSPEECH 2010: 1648-1651 - [c55]Amr El-Desoky, Ralf Schlüter, Hermann Ney:
A Hybrid Morphologically Decomposed Factored Language Models for Arabic LVCSR. HLT-NAACL 2010: 701-704 - [c54]Amr El-Desoky Mousa, M. Ali Basha Shaik, Ralf Schlüter, Hermann Ney:
Sub-lexical language models for German LVCSR. SLT 2010: 171-176 - [c53]Jonas Lööf, Daniele Falavigna, Ralf Schlüter, Diego Giuliani, Roberto Gretter, Hermann Ney:
Evaluation of automatic transcription systems for the judicial domain. SLT 2010: 206-211
2000 – 2009
- 2009
- [c52]Simon Wiesler, Markus Nußbaum-Thom, Georg Heigold, Ralf Schlüter, Hermann Ney:
Investigations on features for log-linear acoustic models in continuous speech recognition. ASRU 2009: 52-57 - [c51]Muhammad Ali Tahir, Georg Heigold, Christian Plahl, Ralf Schlüter, Hermann Ney:
Generalized likelihood ratio discriminant analysis. ASRU 2009: 76-81 - [c50]Georg Heigold, Ralf Schlüter, Hermann Ney:
Modified MPE/MMI in a transducer-based framework. ICASSP 2009: 3749-3752 - [c49]David Rybach, Christian Gollan, Ralf Schlüter, Hermann Ney:
Audio segmentation for speech recognition using segment features. ICASSP 2009: 4197-4200 - [c48]Daniele Falavigna, Diego Giuliani, Roberto Gretter, Jonas Lööf, Christian Gollan, Ralf Schlüter, Hermann Ney:
Automatic Transcription of Courtroom Recordings in the JUMAS project. ICT4Justice 2009: 65-72 - [c47]Georg Heigold, David Rybach, Ralf Schlüter, Hermann Ney:
Investigations on convex optimization using log-linear HMMs for digit string recognition. INTERSPEECH 2009: 216-219 - [c46]Björn Hoffmeister, Ruoying Liang, Ralf Schlüter, Hermann Ney:
Log-linear model combination with word-dependent scaling factors. INTERSPEECH 2009: 248-251 - [c45]Björn Hoffmeister, Ralf Schlüter, Hermann Ney:
Bayes risk approximations using time overlap with an application to system combination. INTERSPEECH 2009: 1191-1194 - [c44]Christian Plahl, Björn Hoffmeister, Georg Heigold, Jonas Lööf, Ralf Schlüter, Hermann Ney:
Development of the GALE 2008 Mandarin LVCSR system. INTERSPEECH 2009: 2107-2110 - [c43]David Rybach, Christian Gollan, Georg Heigold, Björn Hoffmeister, Jonas Lööf, Ralf Schlüter, Hermann Ney:
The RWTH aachen university open source speech recognition system. INTERSPEECH 2009: 2111-2114 - [c42]Amr El-Desoky, Christian Gollan, David Rybach, Ralf Schlüter, Hermann Ney:
Investigating the use of morphological decomposition and diacritization for improving Arabic LVCSR. INTERSPEECH 2009: 2679-2682 - [c41]Naveen Parihar, Ralf Schlüter, David Rybach, Eric A. Hansen:
Parallel fast likelihood computation for LVCSR using mixture decomposition. INTERSPEECH 2009: 3047-3050 - 2008
- [c40]Georg Heigold, Thomas Deselaers, Ralf Schlüter, Hermann Ney:
A GIS-like training algorithm for log-linear models with hidden variables. ICASSP 2008: 4045-4048 - [c39]Georg Heigold, Thomas Deselaers, Ralf Schlüter, Hermann Ney:
Modified MMI/MPE: a direct evaluation of the margin in speech recognition. ICML 2008: 384-391 - [c38]Björn Hoffmeister, Ralf Schlüter, Hermann Ney:
iCNC and iROVER: the limits of improving system combination with classification? INTERSPEECH 2008: 232-235 - [c37]Georg Heigold, Patrick Lehnen, Ralf Schlüter, Hermann Ney:
On the equivalence of Gaussian and log-linear HMMs. INTERSPEECH 2008: 273-276 - [c36]Dimitra Vergyri, Arindam Mandal, Wen Wang, Andreas Stolcke, Jing Zheng, Martin Graciarena, David Rybach, Christian Gollan, Ralf Schlüter, Katrin Kirchhoff, Arlo Faria, Nelson Morgan:
Development of the SRI/nightingale Arabic ASR system. INTERSPEECH 2008: 1437-1440 - [c35]Christian Plahl, Björn Hoffmeister, Mei-Yuh Hwang, Danju Lu, Georg Heigold, Jonas Lööf, Ralf Schlüter, Hermann Ney:
Recent improvements of the RWTH GALE Mandarin LVCSR system. INTERSPEECH 2008: 2426-2429 - 2007
- [j4]András Zolnay, Daniil Kocharov, Ralf Schlüter, Hermann Ney:
Using multiple acoustic feature sets for speech recognition. Speech Commun. 49(6): 514-525 (2007) - [c34]David Rybach, Stefan Hahn, Christian Gollan, Ralf Schlüter, Hermann Ney:
Advances in Arabic broadcast news transcription at RWTH. ASRU 2007: 449-454 - [c33]Björn Hoffmeister, Christian Plahl, Peter Fritz, Georg Heigold, Jonas Lööf, Ralf Schlüter, Hermann Ney:
Development of the 2007 RWTH Mandarin LVCSR system. ASRU 2007: 455-460 - [c32]Ralf Schlüter, Ilja Bezrukov, Hermann Wagner, Hermann Ney:
Gammatone Features and Feature Combination for Large Vocabulary Speech Recognition. ICASSP (4) 2007: 649-652 - [c31]Björn Hoffmeister, Dustin Hillard, Stefan Hahn, Ralf Schlüter, Mari Ostendorf, Hermann Ney:
Cross-Site and Intra-Site ASR System Combination: Comparisons on Lattice and 1-Best Methods. ICASSP (4) 2007: 1145-1148 - [c30]Fabio Valente, Jithendra Vepa, Christian Plahl, Christian Gollan, Hynek Hermansky, Ralf Schlüter:
Hierarchical neural networks feature extraction for LVCSR system. INTERSPEECH 2007: 42-45 - [c29]Jonas Lööf, Ralf Schlüter, Hermann Ney:
Efficient estimation of speaker-specific projecting feature transforms. INTERSPEECH 2007: 1557-1560 - [c28]Georg Heigold, Ralf Schlüter, Hermann Ney:
On the equivalence of Gaussian HMM and Gaussian HMM-like hidden conditional random fields. INTERSPEECH 2007: 1721-1724 - [c27]Christian Gollan, Stefan Hahn, Ralf Schlüter, Hermann Ney:
An improved method for unsupervised training of LVCSR systems. INTERSPEECH 2007: 2101-2104 - [c26]Jonas Lööf, Christian Gollan, Stefan Hahn, Georg Heigold, Björn Hoffmeister, Christian Plahl, David Rybach, Ralf Schlüter, Hermann Ney:
The RWTH 2007 TC-STAR evaluation system for european English and Spanish. INTERSPEECH 2007: 2145-2148 - [c25]Dustin Hillard, Björn Hoffmeister, Mari Ostendorf, Ralf Schlüter, Hermann Ney:
iROVER: Improving System Combination with Classification. HLT-NAACL (Short Papers) 2007: 65-68 - 2006
- [c24]Björn Hoffmeister, Tobias Klein, Ralf Schlüter, Hermann Ney:
Frame based system combination and a comparison with weighted ROVER and CNC. INTERSPEECH 2006 - [c23]Jonas Lööf, Maximilian Bisani, Christian Gollan, Georg Heigold, Björn Hoffmeister, Christian Plahl, Ralf Schlüter, Hermann Ney:
The 2006 RWTH parliamentary speeches transcription system. INTERSPEECH 2006 - [c22]Ralf Schlüter, András Zolnay, Hermann Ney:
Feature combination using linear discriminant analysis and its pitfalls. INTERSPEECH 2006 - 2005
- [c21]András Zolnay, Ralf Schlüter, Hermann Ney:
Acoustic Feature Combination for Robust Speech Recognition. ICASSP (1) 2005: 457-460 - [c20]Christian Gollan, Maximilian Bisani, Stephan Kanthak, Ralf Schlüter, Hermann Ney:
Cross Domain Automatic Transcription on the TC-STAR EPPS Corpus. ICASSP (1) 2005: 825-828 - [c19]Daniil Kocharov, András Zolnay, Ralf Schlüter, Hermann Ney:
Articulatory motivated acoustic features for speech recognition. INTERSPEECH 2005: 1101-1104 - [c18]Ralf Schlüter, T. Scharrenbach, Volker Steinbiss, Hermann Ney:
Bayes risk minimization using metric loss functions. INTERSPEECH 2005: 1449-1452 - [c17]Wolfgang Macherey, Lars Haferkamp, Ralf Schlüter, Hermann Ney:
Investigations on error minimizing training criteria for discriminative training in automatic speech recognition. INTERSPEECH 2005: 2133-2136 - 2004
- [c16]Wolfgang Macherey, Ralf Schlüter, Hermann Ney:
Discriminative training with tied covariance matrices. INTERSPEECH 2004: 705-708 - 2003
- [c15]András Zolnay, Ralf Schlüter, Hermann Ney:
Extraction methods of voicing feature for robust speech recognition. INTERSPEECH 2003: 497-500 - 2002
- [c14]András Zolnay, Ralf Schlüter, Hermann Ney:
Robust speech recognition using a voiced-unvoiced feature. INTERSPEECH 2002: 1065-1068 - 2001
- [j3]Ralf Schlüter, Wolfgang Macherey, Boris Müller, Hermann Ney:
Comparison of discriminative training criteria and optimization methods for speech recognition. Speech Commun. 34(3): 287-310 (2001) - [j2]Ralf Schlüter, Hermann Ney:
Model-based MCE bound to the true Bayes' error. IEEE Signal Process. Lett. 8(5): 131-133 (2001) - [j1]Frank Wessel, Ralf Schlüter, Klaus Macherey, Hermann Ney:
Confidence measures for large vocabulary continuous speech recognition. IEEE Trans. Speech Audio Process. 9(3): 288-298 (2001) - [c13]Frank Wessel, Ralf Schlüter, Hermann Ney:
Explicit word error minimization using word hypothesis posterior probabilities. ICASSP 2001: 33-36 - [c12]Sirko Molau, Michael Pitz, Ralf Schlüter, Hermann Ney:
Computing Mel-frequency cepstral coefficients on the power spectrum. ICASSP 2001: 73-76 - [c11]Ralf Schlüter, Hermann Ney:
Using phase spectrum information for improved speech recognition performance. ICASSP 2001: 133-136 - [c10]Michael Pitz, Sirko Molau, Ralf Schlüter, Hermann Ney:
Vocal tract normalization equals linear transformation in cepstral space. INTERSPEECH 2001: 2653-2656 - 2000
- [b1]Ralf Schlüter:
Investigations on discriminative training criteria. RWTH Aachen University, Germany, 2000, pp. 1-138 - [c9]Frank Wessel, Ralf Schlüter, Hermann Ney:
Using posterior word probabilities for improved speech recognition. ICASSP 2000: 1587-1590 - [c8]Achim Sixtus, Sirko Molau, Stephan Kanthak, Ralf Schlüter, Hermann Ney:
Recent improvements of the RWTH large vocabulary speech recognition system on spontaneous speech. ICASSP 2000: 1671-1674 - [c7]Ralf Schlüter, Frank Wessel, Hermann Ney:
Speech recognition using context conditional word posterior probabilities. INTERSPEECH 2000: 923-926 - [c6]Stephan Kanthak, Sirko Molau, Achim Sixtus, Ralf Schlüter, Hermann Ney:
The RWTH Large Vocabulary Speech Recognition System for Spontaneous Speech. KONVENS 2000: 249-254
1990 – 1999
- 1999
- [c5]Jörg Dahmen, Ralf Schlüter, Hermann Ney:
Discriminative Training of Gaussian Mixtures for Image Object Recognition. DAGM-Symposium 1999: 205-212 - [c4]Ralf Schlüter, Wolfgang Macherey, Boris Müller, Hermann Ney:
A combined maximum mutual information and maximum likelihood approach for mixture density splitting. EUROSPEECH 1999: 1715-1718 - 1998
- [c3]Frank Wessel, Klaus Macherey, Ralf Schlüter:
Using word probabilities as confidence measures. ICASSP 1998: 225-228 - [c2]Ralf Schlüter, Wolfgang Macherey:
Comparison of discriminative training criteria. ICASSP 1998: 493-496 - 1997
- [c1]Ralf Schlüter, Wolfgang Macherey, Stephan Kanthak, Hermann Ney, Lutz Welling:
Comparison of optimization methods for discriminative training criteria. EUROSPEECH 1997: 15-18
Coauthor Index
Patrick Doetsch
aka: Patrick Dötsch
aka: Patrick Dötsch
Amr El-Desoky Mousa
aka: Amr El-Desoky
aka: Amr El-Desoky
[c226] [c225] [i66] [i62] [i61] [c224] [c222] [c221] [c220] [c219] [c217] [c216] [i60] [i58] [i57] [i55] [i54] [i52] [i51] [i50] [c215] [c214] [c213] [c212] [c211] [c210] [c209] [c208] [c206] [c205] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [c204] [c203] [c202] [c201] [c200] [c199] [c198] [c197] [c195] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [c194] [c193] [c192] [c191] [c190] [c189] [c188] [c187] [c186] [c185] [c184] [c183] [c182] [c181] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [j16] [j15] [c180] [c179] [c178] [c177] [c176] [c175] [c174] [c173] [c172] [c171] [c170] [c168] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c167] [c166] [c165] [c164] [c163] [c162] [c161] [c160] [c159] [i4] [i3] [j14] [c158] [c157] [c156] [c155] [c154] [c153] [c152] [c151] [c149] [c148] [c147] [c146] [i2] [i1] [j13] [c144] [c143] [c142] [c141] [c140] [c139] [c138] [c136] [c135] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [j12] [j11] [c119] [c118] [c117] [c116] [c115] [c113] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [j10] [j9] [j8] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [j7] [j6] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c74] [c73] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [j5] [c64] [c63] [c62] [c61] [c60] [c59] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c40] [c39] [c38] [c37] [c35] [j4] [c34] [c33] [c32] [c31] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [j3] [j2] [j1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c1]
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