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检索条件"机构=Pattern Recognition and Human Language"
401 条 记 录,以下是1-10 订阅
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Ground-truth generation through crowdsourcing with probabilistic indexes
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Neural Computing and Applications 2024年 第30期36卷 18879-18895页
作者: Sánchez, Joan Andreu Vidal, Enrique Bosch, Vicente Quirós, Lorenzo Pattern Recognition and Human Language Technologies Center Universitat Politècnica de València València46022 Spain tranSkriptorium AI València Spain
Automatic transcription of large series of historical handwritten documents generally aims at allowing to search for textual information in these documents. However, automatic transcripts often lack the level of accur... 详细信息
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Comparison of Different Neural Network Architectures for Spoken language Identification  15
Comparison of Different Neural Network Architectures for Spo...
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15th ITG Conference on Speech Communication
作者: Bazazo, Tala Zeineldeen, Mohammad Plahl, Christian Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition RWTH Aachen University Germany eBay Aachen Germany
This paper compares different neural network based architectures on the spoken language identification task. To our best knowledge such a comparison of different models on the same dataset and the same set of language... 详细信息
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Document-Level language Models for Machine Translation  8
Document-Level Language Models for Machine Translation
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8th Conference on Machine Translation, WMT 2023
作者: Petrick, Frithjof Herold, Christian Petrushkov, Pavel Khadivi, Shahram Ney, Hermann eBay Inc. Aachen Germany Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
Despite the known limitations, most machine translation systems today still operate on the sentence-level. One reason for this is, that most parallel training data is only sentence-level aligned, without document-leve... 详细信息
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Improving Long Context Document-Level Machine Translation  4
Improving Long Context Document-Level Machine Translation
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4th Workshop on Computational Approaches to Discourse, CODI 2023
作者: Herold, Christian Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Document-level context for neural machine translation (NMT) is crucial to improve the translation consistency and cohesion, the translation of ambiguous inputs, as well as several other linguistic phenomena. Many work... 详细信息
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Comparison of Conventional Hybrid and CTC/Attention Decoders for Continuous Visual Speech recognition  30
Comparison of Conventional Hybrid and CTC/Attention Decoders...
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Joint 30th International Conference on Computational Linguistics and 14th International Conference on language Resources and Evaluation, LREC-COLING 2024
作者: Gimeno-Gómez, David Martínez-Hinarejos, Carlos D. Pattern Recognition and Human Language Technologies Research Center Universitat Politècnica de València Camino de Vera s/n València46022 Spain
Thanks to the rise of deep learning and the availability of large-scale audio-visual databases, recent advances have been achieved in Visual Speech recognition (VSR). Similar to other speech processing tasks, these en... 详细信息
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Enhancing and Adversarial: Improve ASR with Speaker Labels  48
Enhancing and Adversarial: Improve ASR with Speaker Labels
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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Zhou, Wei Wu, Haotian Xu, Jingjing Zeineldeen, Mohammad Luscher, Christoph Schluter, Ralf Ney, Hermann Rwth Aachen University Human Language Technology and Pattern Recognition Computer Science Department Aachen52074 Germany AppTek GmbH Aachen52062 Germany
ASR can be improved by multi-task learning (MTL) with domain enhancing or domain adversarial training, which are two opposite objectives with the aim to increase/decrease domain variance towards domain-aware/agnostic ... 详细信息
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Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers  48
Lattice-Free Sequence Discriminative Training for Phoneme-Ba...
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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Yang, Zijian Zhou, Wei Schluter, Ralf Ney, Hermann Rwth Aachen University Human Language Technology and Pattern Recognition Computer Science Department Aachen52074 Germany AppTek GmbH Aachen52062 Germany
Recently, RNN-Transducers have achieved remarkable results on various automatic speech recognition tasks. However, lattice-free sequence discriminative training methods, which obtain superior performance in hybrid mod... 详细信息
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Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss  48
Robust Knowledge Distillation from RNN-T Models with Noisy T...
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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Zeineldeen, Mohammad Audhkhasi, Kartik Baskar, Murali Karthick Ramabhadran, Bhuvana Rwth Aachen University Human Language Technology and Pattern Recognition Computer Science Department Aachen52074 Germany Google Llc New York United States
This work studies knowledge distillation (KD) and addresses its constraints for recurrent neural network transducer (RNN-T) models. In hard distillation, a teacher model transcribes large amounts of unlabelled speech ... 详细信息
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Revisiting Checkpoint Averaging for Neural Machine Translation  2
Revisiting Checkpoint Averaging for Neural Machine Translati...
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2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural language Processing, AACL-IJCNLP 2022
作者: Gao, Yingbo Herold, Christian Yang, Zijian Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department Rwth Aachen University AachenD-52056 Germany
Checkpoint averaging is a simple and effectivemethod to boost the performance of convergedneural machine translation models. The calculation is cheap to perform and the fact thatthe translation improvement almost come... 详细信息
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Limitations and Challenges of Unsupervised Cross-lingual Pre-training  15
Limitations and Challenges of Unsupervised Cross-lingual Pre...
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15th Conference of the Association for Machine Translation in the Americas, AMTA 2022
作者: Zaragoza, Martín Quesada Casacuberta, Francisco Research Center of Pattern Recognition and Human Language Technology Universitat Politècnica de València Valencia46022 Spain
Cross-lingual alignment methods for monolingual language representations have received notable attention in recent years. However, their use in machine translation pre-training remains scarce. This work tries to shed ... 详细信息
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